Measuring The Latency of Cloud Gaming Systems

•

1 j'aime•815 vues

Cloud gaming, i.e., real-time game playing via thin clients, relieves players from the need to constantly upgrade their computers and deal with compatibility issues when playing games. As a result, cloud gaming is generating a great deal of interest among entrepreneurs and the public. However, given the large design space, it is not yet known which platforms deliver the best quality of service and which design elements constitute a good cloud gaming system. This study is motivated by the question: How good is the real-timeliness of current cloud gaming systems? To address the question, we analyze the response latency of two cloud gaming platforms, namely, OnLive and StreamMyGame. Our results show that the streaming latency of OnLive is reasonable for real-time cloud gaming, while that of StreamMyGame is almost twice the former when the StreamMyGame server is provisioned using an Intel Core i7-920 PC. We believe that our measurement approach can be generally applied to PC-based cloud gaming platforms, and that it will further the understanding of such systems and lead to improvements.

Technologie

Kuan-Ta Chen1, Yu-Chun Chang12, Po-Han Tseng1, Chun-Ying Huang3, and Chin-Laung Lei2
1Academia Sinica 2National Taiwan University 3National Taiwan Ocean University
Measuring The Latency of Cloud Gaming Systems
Conclusion
 We proposed a general methodology to measure the latency
components of cloud gaming systems
 OnLive provides shorter latency for real-time gaming than
SteamMyGame
 Future work
 Improve the proposed methodology
 Apply the methodology to more platforms and derive general
guidelines for designing quality cloud gaming systems
Cloud Gaming
Motivation
 Game software becomes more complex
 The overhead of setting up a game is significant
 Games have software and hardware compatibility with computers
 Real-time game playing via thin clients
 Advantages of cloud gaming
 No set up overheads or compatibility issues
 People can play games anywhere, anytime
 Cloud gaming services
 OnLive, StreamMyGame, GAIKAI, G-cluster Global, OTOY, T5-Labs
 Which platform provides the best quality of service?
Measurement Methodology
 Response delay : In each experiment, send ESC key in the game and see
when the corresponding MENU frame will be displayed
 Response delay (RD) =
Network delay (ND) + Processing delay (PD) + Playout delay (OD)
Scatter Plot of tblock_succeed and tblock_failed
Measurement Results
How to determine the occurrence of t3
 Blocking is successful : add tblock to the set tblock_succeeded
 Blocking is failed : add tmenu to the set tblock_failed
 We then estimate t3 as the point that yield the minimum sum of the
two density functions formed by tblock_succeeded and tblock_failed
 Blocking : Block the incoming data on the client
Blocking is successful
Blocking is failed
Experiment Setup
• Game:
Lego Batman: The VideoGame (Batman)
Warhammer 40,000: Dawn of War (DOW)
F.E.A.R. 2: Project Origin (FEAR)
• Platform:
OnLive (OnLive)
StreamMyGame (SMG)
Network delay (ND) = network RTT
Processing delay (PD) = t3 – t0 – ND
Playout delay (OD) = t4 – t3
tblock tblock+1 Timetmenu
Menu screen appears
tblock tblock+1 Timetmenu
Internet
LAN
LAN
Switch
Client (Intel Core i7-920)
Server (Intel Core i7-920)
OnLive Server
t0 t1 t2 t4
(controllable)
t3
(probable) (observable)
Processing delay Playout delay
Probing range
Time
Academia Sinica
ServerClient
Game Servers
PC
Laptop
Mobile
Streaming
Streaming
Streaming
Internet
t0 (Key event sent) t1 (Key event received)
t2 (Frame sent)t3 (Frame received)
Menu frame
Menu screen shown
t4 (Frame displayed)

Contenu connexe

Plus de Academia Sinica

Although online games have been an important Internet activity today, players inevitably suffer from lag from time to time due to the Internet’s non-QoS-guaranteed architecture. Here by lag we refer to the phenomena when a game fails to respond to user commands or update the screen in a timely fashion due to long system processing or network delays. Currently, little is known about how game players feel about lag and how they react when encountering lag during game play. In this paper, we present an Internet survey that is designed to understand the following questions: 1) How do players perceive lag, 2) what do players think of the causes of lag, and 3) how do players react to lag. Our results show that game players often struggle with lag, because they are unable to identify the root cause. Therefore, they have to try any combination of possible solutions found on the Internet, blame game companies, or learn to cope. These findings manifest a strong demand for an automatic diagnostic tool that can identify the root cause of lag for gamers.

On The Battle between Online Gamers and Lags

Academia Sinica

The thin-client model is considered a perfect fit for online gaming. As modern games normally require tremendous computing and rendering power at the game client, deploying games with such models can transfer the burden of hardware upgrades from players to game operators. As a result, there are a variety of solutions proposed for thin-client gaming today. However, little is known about the performance of such thinclient systems in different scenarios, and there is no systematic means yet to conduct such analysis. In this paper, we propose a methodology for quantifying the performance of thin-clients on gaming, even for thin-clients which are close-sourced. Taking a classic game, Ms. Pac-Man, and three popular thin-clients, LogMeIn, TeamViewer, and UltraVNC, as examples, we perform a demonstration study and determine that 1) display frame rate and frame distortion are both critical to gaming; and 2) different thin-client implementations may have very different levels of robustness against network impairments. Generally, LogMeIn performs best when network conditions are reasonably good, while TeamViewer and UltraVNC are the better choices under certain network conditions.

Understanding The Performance of Thin-Client Gaming

Academia Sinica

Despite all the efforts devoted to improving the QoS of networked multimedia services, the baseline for such improvements has yet to be defined. In other words, although it is well recognized that better network conditions generally yield better service quality, the exact minimum level of network QoS required to ensure satisfactory user experience remains an open question. In this paper, we propose a general, cheat-proof framework that enables researchers to systematically quantify the minimum QoS needs for real-time networked multimedia services. Our framework has two major features: 1) it measures the quality of a service that users find intolerable by intuitive responses and therefore reduces the burden on experiment participants; and 2) it is cheat-proof because it supports systematic verification of the participants' inputs. Via a pilot study involving 38 participants, we verify the efficacy of our framework by proving that even inexperienced participants can easily produce consistent judgments. In addition, by cross-application and cross-service comparative analysis, we demonstrate the usefulness of the derived QoS thresholds. Such knowledge will serve important reference in the evaluation of competitive applications, application recommendation, network planning, and resource arbitration.

Quantifying QoS Requirements of Network Services: A Cheat-Proof Framework

Academia Sinica

Cloud gaming makes any computer game playable on a thin client without worrying the hardware requirements as before. It frees players from the need to constantly upgrade their computers as they can now play games that host on remote servers with a broadband Internet connection and a thin client. However, cloud games are intrinsically more susceptible to latency than online games because game graphics are rendered on server nodes and thin clients do not possess game state information that is required by delay compensation techniques. In this paper, we investigate how the response latency would affect users' experience when playing games on clouds and how the impact of latency on players' experience varies across different games. We show that not all games are equally friendly to cloud gaming. The same degree of latency may have very different impact on a game's quality of experience depending on the game's real-time strictness. We thus develop a model that can predict a game's real-time strictness based on the rate of players' inputs and game screen dynamics. The model can be used to enhance players' experience in cloud gaming and optimize data center operation cost simultaneously.

Are All Games Equally Cloud-Gaming-Friendly? An Electromyographic Approach

Academia Sinica

Online gaming has now become an extremely competitive business. As there are so many game titles released every month, gamers have become more difficult to please and fickle in affection. Therefore, it would be beneficial if we can forecast how addictive a game is before publishing it on the market. The capability of game addictiveness forecasting will enable developers to continuously adjust the game design and enable publishers to assess the potential market value in a game’s early development stages. In this paper, we propose to forecast a game’s addictiveness based on players’ emotion when they are exploring the game. Based on the account activity traces of 11 commercial online games, we develop a forecasting model that takes electromyographic measures of players as the input and outputs the addictiveness index of a game. We hope that with our methodology, the game industry could save hopeless investment and target more accurately to provide more entertaining experience.

Forecasting Online Game Addictiveness

Academia Sinica

Identifying MMORPG Bots: A Traffic Analysis Approach

Academia Sinica

Peer-to-peer relaying is commonly used in realtime applications to cope with NAT and firewall restrictions and provide better quality network paths. As relaying is not natively supported by the Internet, it is usually implemented at the application layer. Also, in a modern operating system, the processor is shared, so the receive-process-forward process for each relay packet may take a considerable amount of time if the host is busy handling some other tasks. Thus, if we happen to select a loaded relay node, the relaying may introduce significant delays to the packet transmission time and even degrade the application performance. In this work, based on an extensive set of Internet traces, we pursue an understanding of the processing delays incurred at relay nodes and their impact on the application performance. Our contribution is three-fold: 1) we propose a methodology for measuring the processing delays at any relay node on the Internet; 2) we characterize the workload patterns of a variety of Internet relay nodes; and 3) we show that, serious VoIP quality degradation may occur due to relay processing, thus we have to monitor the processing delays of a relay node continuously to prevent the application performance from being degraded.

Toward an Understanding of the Processing Delay of Peer-to-Peer Relay Nodes

Academia Sinica

Normally, voice activity detection (VAD) refers to speech processing algorithms for detecting the presence or absence of human speech in segments of audio signals. In this paper, however, we focus on speech detection algorithms that take VoIP traffic instead of audio signals as input. We call this category of algorithms network-level VAD. Traditional VAD usually plays a fundamental role in speech processing systems because of its ability to delimit speech segments. Network-level VAD, on the other hand, can be quite helpful in network management, which is the motivation for our study. We propose the first real-time network-level VAD algorithm that can extract voice activity from encrypted and non-silence-suppressed Skype traffic. We evaluate the speech detection accuracy of the proposed algorithm with extensive reallife traces. The results show that our scheme achieve reasonably good performance even high degree of randomness has been injected into the network traffic.

Inferring Speech Activity from Encrypted Skype Traffic

Academia Sinica

In recent years, online gaming has become one of the most popular Internet activities, but cheating activity, such as the use of game bots, has increased as a consequence. Generally, the gaming community disagrees with the use of game bots, as bot users obtain unreasonable rewards without corresponding efforts. However, bots are hard to detect because they are designed to simulate human game playing behavior and they follow game rules exactly. Existing detection approaches either interrupt the players’gaming experience, or they assume game bots are run as standalone clients or assigned a specific goal, such as aim bots in FPS games. In this paper, we propose a trajectory-based approach to detect game bots. It is a general technique that can be applied to any game in which the avatar’s movement is controlled directly by the players. Through real-life data traces, we show that the trajectories of human players and those of game bots are very different. In addition, although game bots may endeavor to simulate players’ decisions, certain human behavior patterns are difficult to mimic because they are AI-hard. Taking Quake 2 as a case study, we evaluate our scheme’s performance based on reallife traces. The results show that the scheme can achieve a detection accuracy of 95% or higher given a trace of 200 seconds or longer.

Game Bot Detection Based on Avatar Trajectory

Academia Sinica

Improving Reliability of Web 2.0-based Rating Systems Using Per-user Trustiness

Academia Sinica

For current Web 2.0 services, manual examination of user uploaded content is normally required to ensure its legitimacy and appropriateness, which is a substantial burden to service providers. To reduce labor costs and the delays caused by content censoring, social moderation has been proposed as a front-line mechanism, whereby user moderators are encouraged to examine content before system moderation is required. Given the immerse amount of new content added to the Web each day, there is a need for automation schemes to facilitate rear system moderation. This kind of mechanism is expected to automatically summarize reports from user moderators and ban misbehaving users or remove inappropriate content whenever possible. However, the accuracy of such schemes may be reduced by collusion attacks, where some work together to mislead the automatic summarization in order to obtain shared benefits. In this paper, we propose a collusion-resistant automation scheme for social moderation systems. Because some user moderators may collude and dishonestly claim that a user misbehaves, our scheme detects whether an accusation from a user moderator is fair or malicious based on the structure of mutual accusations of all users in the system. Through simulations we show that collusion attacks are likely to succeed if an intuitive countbased automation scheme is used. The proposed scheme, which is based on the community structure of the user accusation graph, achieves a decent performance in most scenarios.

A Collusion-Resistant Automation Scheme for Social Moderation Systems

Academia Sinica

Determining how to transport delay-sensitive voice data has long been a problem in multimedia networking. The difficulty arises because voice and best-effort data are different by nature. It would not be fair to give priority to voice traffic and starve its best-effort counterpart; however, the voice data delivered might not be perceptible if each voice call is limited to the rate of an average TCP flow. To address the problem, we approach it from a user-centric perspective by tuning the voice data rate based on user satisfaction. Our contribution in this work is threefold. First, we investigate how Skype, the largest and fastest growing VoIP service on the Internet, adapts its voice data rate (i.e., the redundancy ratio) to network conditions. Second, by exploiting implementations of public domain codecs, we discover that Skype’s mechanism is not really geared to user satisfaction. Third, based on a set of systematic experiments that quantify user satisfaction under different levels of packet loss and burstiness, we derive a concise model that allows user-centric redundancy control. The model can be easily incorporated into general VoIP services (not only Skype) to ensure consistent user satisfaction.

Tuning Skype’s Redundancy Control Algorithm for User Satisfaction

Academia Sinica

While psychologists analyze network game-playing behavior in terms of players’ social interaction and experience, understanding user behavior is equally important to network researchers, because how users act determines how well network systems, such as online games, perform. To gain a better understanding of patterns of player interaction and their implications for game design, we analyze a 1, 356-millionpacket trace of ShenZhou Online, a mid-sized commercial MMORPG. This work is dedicated to draw out hints and implications of player interaction patterns, which is inferred from network-level traces, for online games. We find that the dispersion of players in a virtual world is heavy-tailed, which implies that static and fixed-size partitioning of game worlds is inadequate. Neighbors and teammates tend to be closer to each other in network topology. This property is an advantage, because message delivery between the hosts of interacting players can be faster than between those of unrelated players. In addition, the property can make game playing fairer, since interacting players tend to have similar latencies to their servers. We also find that participants who have a higher degree of social interaction tend to play much longer, and players who are closer in network topology tend to team up for longer periods. This suggests that game designers could increase the “stickiness” of games by encouraging, or even forcing, team playing.

Network Game Design: Hints and Implications of Player Interaction

Academia Sinica

With the emergence of active worms, the targets of attacks have been moved from well-known Internet servers to generic Internet hosts, and since the rate at which patches can be applied is always much slower than the spread of a worm, an Internet worm can usually attack or infect millions of hosts in a short time. It is difficult to eliminate Internet attacks globally; thus, protecting client networks from being attacked or infected is a relatively critical issue. In this paper, we propose a method that protects client networks from being attacked by people who try to scan, attack, or infect hosts in local networks via unpatched vulnerabilities. Based on the symmetry of network traffic in both temporal and spatial domains, a bitmap filter is installed at the entry point of a client network to filter out possible attack traffic. Our evaluation shows that with a small amount of memory (less than 1 megabyte), more than 95% of attack traffic can be filtered out in a small- or medium-scale client network.

Mitigating Active Attacks Towards Client Networks Using the Bitmap Filter

Academia Sinica

Online gaming has become increasingly popular in recent years. Currently, the most common business model of online gaming is based on monthly subscription fees that game players pay to obtain credits, which allow them to start or continue a journey in the game’s virtual world. Therefore, from the perspective of game operators, predicting how many players will join a game and how long they will stay in the game is important since these two factors dominate their revenue. This paper represents a pilot study of the predictability of online gamers’ subscription time. Specifically, we study the gameplay hours of online gamers and investigate whether strong patterns are embedded in their game hours. Our ultimate goal is to provide a prediction model of online gamers, which takes a player’s game hours as the input and predicts whether the player will leave in the near future. Our study is based on real-life traces collected from World of Warcraft, a famous MMORPG (Massively Multiplayer Online Role- Playing Game). The traces contain the gameplay histories of 34, 524 players during a two-year period. We believe that our study would be useful for building a prediction model of players’ future game hours and unsubscription decisions; i.e., decisions not to renew subscriptions. .

An Analysis of WoW Players’ Game Hours

Academia Sinica

Online gaming is one of the most profitable businesses on the Internet. Of all the genres of online games, MMORPGs (Massive Multiplayer Online Role Playing Games) have become the most popular among network gamers, and now attract millions of users who play in an evolving virtual world simultaneously over the Internet. To gain a better understanding of game traffic and contribute to the economic well-being of the Internet, we analyze a 1, 356-million-packet trace from a sizeable MMORPG called ShenZhou Online. This work is, as far as we know, the first formal analysis of MMORPG server traces. We find that MMORPG and FPS (First-Person Shooting) games are similar in that they both generate small packets and require low bandwidths. In practice, the bandwidth requirement of MMORPGs is the lower of the two due to less real-time game playing. More distinctive features are the strong periodicity, temporal locality, irregularity, and self-similarity observed in MMORPG traffic. The periodicity is due to a common practice in game implementation, where game state updates are accumulated within a fixed time window before transmission. The temporal locality in game traffic is largely due to the game’s nature, whereby one action leads to another. The irregularity, which is unique to MMORPG traffic, is due to the diversity of the game’s design so that the behavior of users can vary drastically, depending on the quest at hand. The self-similarity of the aggregate traffic is due to the heavy-tailed active/idle activities of individual players. Moreover, we show that the arrival of game sessions within one hour can be modelled by a Poisson model, while the duration of game sessions is heavy-tailed.

Game Traffic Analysis: An MMORPG Perspective

Academia Sinica

In this paper, we propose an analytical model for computing the utility of ESP games, i.e., the throughput rate of appropriate labels for given images. The model targets generalized games, where the number of players, the consensus threshold, and the stopping condition are variable. Via extensive simulations, we show that our model can accurately predict the stopping condition that will yield the optimal utility of an ESP game under a specific game setting. A service provider can therefore utilize the model to ensure that the hosted ESP games produce high-quality labels efficiently, given that the number of players willing to invest time and effort in the game is limited.

An Analytical Approach to Optimizing The Utility of ESP Games

Academia Sinica

TCP employs a self-clocking scheme that times the sending of packets. In that, the data packets are sent in a burst when the returning acknowledgement packet5 are received. This self-clocking scheme (also known as ack-clocking) is deemed a key factor to the the burstiness of TCP traffic and the source of various performance problemshigh packet loss, long delay, and high delay jitter. Previous work has suggested contradictively the effectiveness of TCP Pacing as a remedy to alleviate the traffic burstiness. In this paper, we analyze systematically and in more robust experiments the impact of network variabilities on the behavior of TCP clocking schemes. We find that 1) aggregated pacing traffic could be burstier than aggregated ack-clocking traffic. Physical explanation and experimental simulations are provided to support this argument. 2) The round-trip time heterogeneity and flow multiplexing significantly influence the behaviors of both ack-clocking and pacing schemes. Evaluating the performance of clocking schemes without considering these effects is prone to inconsistent results. 3) Pacing outperforms ack-clocking in more realistic settings from the trufic burstiness point of view.

The Impact of Network Variabilities on TCP Clocking Schemes

Academia Sinica

This paper presents a development of our comic generation system that automatically summarizes players' actions and interactions in the virtual world. The feature of the system is that it analyzes the log and screenshots of a game, decides which events are important and memorable, and then generates comics in a fully automatic manner. Also, the interface of our system allows users to customize their own comics. As a result, users can easily use the system to share their stories and create individual comics for archival purposes or storytelling.

Automatic Storytelling in Comics: A Case Study on World of Warcraft

Academia Sinica

In recent years, online gaming has become one of the most popular Internet activities, but cheating activity, such as the use of game bots, has increased as a consequence. Generally, the gaming community disapproves of the use of game bots, as bot users obtain unreasonable rewards without corresponding efforts. However, bots are hard to detect because they are designed to simulate human game playing behavior and they follow game rules exactly. Existing detection approaches either disrupt players’ gaming experiences, or they assume game bots are run as standalone clients or assigned a specific goal, such as aim bots in FPS games. In this paper, we propose a manifold learning approach for detecting game bots. It is a general technique that can be applied to any game in which avatars’ movement is controlled by the players directly. Through real-life data traces, we show that the trajectories of human players and those of game bots are very different. In addition, although game bots may endeavor to simulate players’ decisions, certain human behavior patterns are difficult to mimic because they are AI-hard. Taking Quake 2 as a case study, we evaluate our scheme’s performance based on real-life traces. The results show that the scheme can achieve a detection accuracy of 98% or higher on a trace of 700 seconds.

Game Bot Identification Based on Manifold Learning

Academia Sinica

Plus de Academia Sinica (20)

On The Battle between Online Gamers and Lags

Understanding The Performance of Thin-Client Gaming

Quantifying QoS Requirements of Network Services: A Cheat-Proof Framework

Are All Games Equally Cloud-Gaming-Friendly? An Electromyographic Approach

Forecasting Online Game Addictiveness

Identifying MMORPG Bots: A Traffic Analysis Approach

Toward an Understanding of the Processing Delay of Peer-to-Peer Relay Nodes

Inferring Speech Activity from Encrypted Skype Traffic

Game Bot Detection Based on Avatar Trajectory

Improving Reliability of Web 2.0-based Rating Systems Using Per-user Trustiness

A Collusion-Resistant Automation Scheme for Social Moderation Systems

Tuning Skype’s Redundancy Control Algorithm for User Satisfaction

Network Game Design: Hints and Implications of Player Interaction

Mitigating Active Attacks Towards Client Networks Using the Bitmap Filter

An Analysis of WoW Players’ Game Hours

Game Traffic Analysis: An MMORPG Perspective

An Analytical Approach to Optimizing The Utility of ESP Games

The Impact of Network Variabilities on TCP Clocking Schemes

Automatic Storytelling in Comics: A Case Study on World of Warcraft

Game Bot Identification Based on Manifold Learning

Dernier

Modernizing Securities Finance: The cloud-native prime brokerage platform transforming capital markets. Madhu Subbu, Managing Director, Head of Securities Finance Engineering Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

apidays

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

apidays

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

ICT role in 21st century education and its challenges

rafiqahmad00786416

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

apidays

Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

apidays

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

GenAI Risks & Security Meetup 01052024.pdf

lior mazor

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

In the thrilling conclusion to 2023, ransomware groups had a banner year, really outdoing themselves in the "make everyone's life miserable" department. LockBit 3.0 took gold in the hacking olympics, followed by the plucky upstarts Clop and ALPHV/BlackCat. Apparently, 48% of organizations were feeling left out and decided to get in on the cyber attack action. Business services won the "most likely to get digitally mugged" award, with education and retail nipping at their heels. Hackers expanded their repertoire beyond boring old encryption to the much more exciting world of extortion. The US, UK and Canada took top honors in the "countries most likely to pay up" category. Bitcoins were the currency of choice for discerning hackers, because who doesn't love untraceable money?

Ransomware_Q4_2023. The report. [EN].pdf

Overkill Security

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

Scalable LLM APIs for AI and Generative AI Application Development Ettikan Karuppiah, Director/Technologist - NVIDIA Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

apidays

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Dernier (20)

Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

ICT role in 21st century education and its challenges

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

GenAI Risks & Security Meetup 01052024.pdf

Artificial Intelligence Chap.5 : Uncertainty

Why Teams call analytics are critical to your entire business

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Ransomware_Q4_2023. The report. [EN].pdf

Corporate and higher education May webinar.pptx

Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...

Exploring the Future Potential of AI-Enabled Smartphone Processors

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Measuring The Latency of Cloud Gaming Systems

1. Kuan-Ta Chen1, Yu-Chun Chang12, Po-Han Tseng1, Chun-Ying Huang3, and Chin-Laung Lei2 1Academia Sinica 2National Taiwan University 3National Taiwan Ocean University Measuring The Latency of Cloud Gaming Systems Conclusion  We proposed a general methodology to measure the latency components of cloud gaming systems  OnLive provides shorter latency for real-time gaming than SteamMyGame  Future work  Improve the proposed methodology  Apply the methodology to more platforms and derive general guidelines for designing quality cloud gaming systems Cloud Gaming Motivation  Game software becomes more complex  The overhead of setting up a game is significant  Games have software and hardware compatibility with computers  Real-time game playing via thin clients  Advantages of cloud gaming  No set up overheads or compatibility issues  People can play games anywhere, anytime  Cloud gaming services  OnLive, StreamMyGame, GAIKAI, G-cluster Global, OTOY, T5-Labs  Which platform provides the best quality of service? Measurement Methodology  Response delay : In each experiment, send ESC key in the game and see when the corresponding MENU frame will be displayed  Response delay (RD) = Network delay (ND) + Processing delay (PD) + Playout delay (OD) Scatter Plot of tblock_succeed and tblock_failed Measurement Results How to determine the occurrence of t3  Blocking is successful : add tblock to the set tblock_succeeded  Blocking is failed : add tmenu to the set tblock_failed  We then estimate t3 as the point that yield the minimum sum of the two density functions formed by tblock_succeeded and tblock_failed  Blocking : Block the incoming data on the client Blocking is successful Blocking is failed Experiment Setup • Game: Lego Batman: The VideoGame (Batman) Warhammer 40,000: Dawn of War (DOW) F.E.A.R. 2: Project Origin (FEAR) • Platform: OnLive (OnLive) StreamMyGame (SMG) Network delay (ND) = network RTT Processing delay (PD) = t3 – t0 – ND Playout delay (OD) = t4 – t3 tblock tblock+1 Timetmenu Menu screen appears tblock tblock+1 Timetmenu Internet LAN LAN Switch Client (Intel Core i7-920) Server (Intel Core i7-920) OnLive Server t0 t1 t2 t4 (controllable) t3 (probable) (observable) Processing delay Playout delay Probing range Time Academia Sinica ServerClient Game Servers PC Laptop Mobile Streaming Streaming Streaming Internet t0 (Key event sent) t1 (Key event received) t2 (Frame sent)t3 (Frame received) Menu frame Menu screen shown t4 (Frame displayed)

Measuring The Latency of Cloud Gaming Systems

Recommandé

Recommandé

Contenu connexe

Plus de Academia Sinica

Plus de Academia Sinica (20)

Dernier

Dernier (20)

Measuring The Latency of Cloud Gaming Systems