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LTE: Building next-gen application services for mobile telecoms

  1. Copyright © 2015 NuoDB LTE: Building next-gen application services for mobile telecoms
  2. Iain Gillott (512) 263-5682 iain@iGR-Inc.com 2
  3. www.iGR-inc.com Source:iGillottResearch,Inc,2015  Introduction  Operator Realities  LTE Architecture  What are the basic needs of the Wireless Network 2020?  How does the network evolve? ◦ NFV, SDN  Summary
  4. www.iGR-inc.com Source:iGillottResearch,Inc,2015 4 0 100000 200000 300000 400000 500000 600000 700000 800000 1 2 3 4 5 6 7 8 Data Bandwidth Revenues Gap Time Activity 3G 4G 5G
  5. www.iGR-inc.com Source:iGillottResearch,Inc,2015 Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator services Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator servicesIMS Operator services
  6. www.iGR-inc.com Source:iGillottResearch,Inc,2015  Support 50% more devices ◦ With minimal additional ARPU ◦ Internet of Things, Machine-2-Machine  Lower latencies ◦ Messaging, VoLTE, Connected Car  Increased bandwidth ◦ More video, more stuff, but especially more video ◦ LTE Broadcast  Seamless integration with WiFi ◦ Hand-off, policy, control, security  Caching content as close to the device as possible ◦ Content servers in local data centers ◦ Distributed content ◦ Reduce transit for major content  Lower operating costs per device ◦ Much lower 6
  7. www.iGR-inc.com Source:iGillottResearch,Inc,2015 Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator services Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator servicesIMS Operator services MCDS MCDS 7
  8. www.iGR-inc.com Source:iGillottResearch,Inc,2015  Mobile application virtualization ◦ Application is separated from the other apps and services running on the mobile device  Mobile access virtualization ◦ Mobile device connects to multiple radio access networks (RAN) transparently to the user  Mobile network virtualization ◦ Mobile network is virtualized ◦ EPC can be fully virtualized and run in a data center with off-the-shelf hardware ◦ Mobile RAN virtualization requires splitting of the conventional base station into a Remote Radio Head (RRH) or Remote Radio Unit (RRU) and a pooled group of baseband processors
  9. www.iGR-inc.com Source:iGillottResearch,Inc,2015  Software-defined networks (SDN) ◦ Represent a transition away from legacy distributed protocols and fixed networks ◦ Resources are centrally controlled ◦ Transport is allocated across a number of viable alternative networks ◦ Replaces traditional networks that disparate types of network elements and protocols that are very challenging to manage  Network Functions Virtualization (NFV) ◦ Allows network functions to be implemented in software and deployed on commercial high volume servers, switches and storage elements ◦ Hardware can then be distributed as required, giving the operator more flexibility in how the network is physically deployed ◦ NFV is an intrinsic part of virtualizing the EPC as the virtualized EPC would become a collection of network functions (S-gateway, P-gateway, MME, etc.) which are defined in software and then implemented on commercial hardware using NFV principles
  10. www.iGR-inc.com Source:iGillottResearch,Inc,2015 OSS/BSS Orchestrator Virtual Network Function Manager Virtual Infrastructure Manager Hardware Physical Network Functions Virtual Hardware Virtual Network Function Virtual Network Function Virtual Network Function
  11. www.iGR-inc.com Source:iGillottResearch,Inc,2015 Metro data center EPC (distributed) Local data center/Central Office National data center IP core SDN EPC OSS/BSS RAN RRH (on building) Macro (on tower) Metro (lamp post) Baseband Unit S-GW P-GW PCRF CPRI 100,000s 150,000 100,000s 1,000 100 5 11 Short-term virtualization Medium- term virtualization Medium- long term virtualization Long-term virtualization
  12. www.iGR-inc.com Source:iGillottResearch,Inc,2015 Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator services Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator servicesIMS Operator services 1
  13. www.iGR-inc.com  Mobile network virtualization is opportunity and challenge for vendors ◦ Opportunity to enable MNOs to cut costs and support new services ◦ Threat that if the vendor does not move fast enough, others will  Virtualization of the mobile network is here ◦ Groundwork laid for RAN virtualization with RRH architecture later on ◦ EPC being virtualized today ◦ Need to maintain service while evolving  Price wars in the U.S. may hasten virtualization evolution ◦ Need to pull costs out of network operations as APRUs fall ◦ Pressure on vendors to deliver at lower cost ◦ “Do more with less, now”  Virtualization and SDN are generational shifts ◦ Long term architecture plan, not short term changes ◦ Fundamental change in how networks are designed, built and operated  SDN challenges include ◦ Performance of standardized hardware ◦ Interoperability ◦ Co-existence with legacy network elements  Challenge is to evolve network while maintaining service/revenues ◦ Consumer should never notice the transition ◦ Need to manage risk in the network
  14. Scale-out SQL database Copyright © 2015 NuoDB For Telco Software Developers
  15. Topics What we have learned from our customers The NuoDB database solution What is it? Definitions Why is it useful? Delivering value to developers and users How does that work then? A brief peek under the covers Copyright © 2015 NuoDB
  16. What Our Customers Tell Us Copyright © 2015 NuoDB Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator services Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator servicesIMS Operator services
  17. Case Study II Situation U.S. software company specializing in mobile Telco products. Customers across N America, S America and Europe. Deployed on dedicated equipment in customer data centers. Issue  Customers increasingly want cloud-friendly products  Management of DR and upgrade complex & challenging Why NuoDB  Continuous Availability  Active-Active Distribution  Ease of Management Benefits Active/Active/Active True multi-data center operation offers richer customer experience and better. Rolling Upgrades A torturous upgrade process that carries real risk of outage, hugely simplified. Ease of Migration Rich SQL support in NuoDB supports a straight forward and swift migration.
  18. Case Study II Situation European Telco specialist Innovative mobile commerce product Piloted in emerging markets Issue  Appliance deployment not attractive in major markets  Performance not sufficient for major markets Why NuoDB  Cloud deployment  Scale-out performance Benefits Cloud Offering Attractive pricing and capability for target markets Scale-out performance Ability to deliver in target markets Ease of Migration Simple migration achieved improved performance on like-for-like kit
  19. What Our Customers Tell Us • Transactional • SQL • Preserve skills • Distributed • Cloud ready Copyright © 2015 NuoDB Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator services Evolved Packet Core PCRF S1-MME S1-U S2a IOS Gxa S5 S101 eAN AAA STa SWx Gxa Gxc SGi MME CDMA BTS LTE eNodeB S103 HSS Serving GW PDN GW User plane Control plane S11 AN RAN Internet Company intranets HSGW PDSN S6a Services in Packet Data Network S6b Rx IMS Operator servicesIMS Operator services o SDN challenges include o Performance of standardized hardware o Interoperability o Co-existence with legacy network elements o Challenge is to evolve network while maintaining service/revenues o Consumer should never notice the transition o Need to manage risk in the network o SDN challenges include o Performance of standardized hardware o Interoperability o Co-existence with legacy network elements o Challenge is to evolve network while maintaining service/revenues o Consumer should never notice the transition o Need to manage risk in the network
  20. What is NuoDB? Copyright © 2015 NuoDB
  21. What is NuoDB Distributed, transactional, SQL database, engineered for the cloud Copyright © 2015 NuoDB Because single data center is not enough; active-active-active, geo-distribution is becoming table stakes Because ACID is vital for many critical use cases Because tools and skills are in place; re-engineering and re-skilling costs are prohibitive Scale-out Elastic Continuously available Low administration
  22. Scale-out Elastic Continuously available Low administration Key Virtualization Capabilities “No-knobs” Admin Auto-admin Rules-driven Auto-optimizing Auto-backup 22 Continuous Availability Fault tolerant Arbitrarily redundant Online backup Rolling upgrades Active/Active/Active ACID Semantics Transactional Local-User Latency Geo-Distribution Scale-out Performance Instant, elastic scale out Public/private/hybrid cloud Benchmark linear scalability Real world use case scalability
  23. Why is NuoDB valuable? Copyright © 2015 NuoDB
  24. Single data center Dedicated servers Provisioned for maximum workload Complex admin with downtime Multiple single points of failure High capex Application Economics Conventional Applications Geo-distributed Elastic provisioning Low administration load Always up maintenance No single point of failure Low capex / Pay for use Virtualized Applications
  25. Single data center Dedicated servers Provisioned for maximum workload Complex admin with downtime Multiple single points of failure High capex Application Economics Conventional Applications Geo-distributed Elastic provisioning Low administration load Always up maintenance No single point of failure Low capex / Pay for use Virtualized Applications Virtualized Applications Web servers scale out App servers scale out “OldSQL” servers don’t scale out Storage servers scale out ✓ ✓ ✗ ✓
  26. Single data center Dedicated servers Provisioned for maximum workload Complex admin with downtime Multiple single points of failure High capex Application Economics Conventional Applications Geo-distributed Elastic provisioning Low administration load Always up maintenance No single point of failure Low capex / Pay for use Virtualized Applications Virtualized Applications Web servers scale out App servers scale out “OldSQL” servers don’t scale out Storage servers scale out ✓ ✓ ✗ ✓ • Transactional • SQL • Preserves skills • Distributed • Cloud ready NuoDB
  27. How does NuoDB work? Copyright © 2015 NuoDB
  28. Management Storage Transaction NuoDB Architecture: Multi-tiered Database Archives Transaction EngineTransaction Engine Storage ManagerStorage Manager Brokers/Agents
  29. Brokers/Agents TETE SMSM NuoDB Architecture: Elastic scale-out Database Archives TE TE
  30. TETE SMSM NuoDB Architecture : Distributed Database Archives TE TE Brokers/Agents
  31. TETE SMSM NuoDB Architecture: Continuously available Database Archives TE TE Brokers/Agents
  32. Engineered for the cloud Copyright © 2015 NuoDB Scale-out SQL Database

Notes de l'éditeur

  1. We’re a small organization but we already have some very innovative and increasingly important customers providing mobile services. What we’re talking about today is primarily the operator services segment. But of course many of the same constraints, opportunities and challenges apply to any mobile app developers. And to some extent I’m drawing on our experiences there as well.
  2. Our customers have invested in their skills, processes and products. Those are usually based around SQL transactional systems. But now they need to take those products to the cloud. They need them to be continuously available. They need them to operated symmetrically in two or more datacenters. They need them to scale out economically. And accommodate multiple customer instances without breaking the bank in operating costs. Their traditional SQL databases just won’t do this. They have tried sharding, database synchronization, replication… They have complex and brittle DR wqith active passive
  3. With that as a foundation….Let’s move on to talk about the 4 key value propositions NuoDB offers. These are the breakthrough capabilities and I’ll explain how these are grounded in the unique NuoDB architecture we just looked at.
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