1. Is Cloud Computing Really Ready
For Prime Time?
Neil Levitt
Presented by : Vaishnavi Chigarapalle
2. Overview
• Problem
• Introduction.
• Computing in the cloud.
• Under the hood.
• Types of cloud services.
• Adopting the cloud.
• Challenges on the horizon.
• What’s Ahead ?
• Conclusion.
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3. Problem
• Cloud Computing has been regarded as evolutionary paradigm
recently.
• It has much strength, such as large storage, ubiquitous network
access, cost effective and so on.
• However it also faces security and privacy concerns.
• In this paper, they discussed several major security and privacy
issues.
• And also proposed effective methods to handle such issues.
• This paper is original that we consider the characteristics of
Cloud Computing adequately, so the methods are well
functioned and can be developed further to solve other
problems.
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4. Introduction
• Resources are kept on providers servers rather than on
users systems.
• Proponents tout the technology’s advantages, including
cost saving, high availability and easy scalability.
• Industry observers say the technology’s growth potential
is enormous.
• According to proponents, working via large platform
owned by providers and shared by numerous users makes
cloud computing less expensive.
• Cloud computing also lowers the cost of application
development and makes the process more scalable.
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5. • It frees customers from the expense and
hassle of having to install and maintain
applications.
• Nonetheless, the approach is still
relatively new and has not yet been
widely adopted.
• IT departments are still wary of it because
they don’t control the cloud computing
platform.
• The key Risks involved in cloud
computing include reliability, security, the
additional cost of the necessary bandwidth
and getting locked into a specific cloud
computing vendors.
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7. Computing in the cloud
• Initially, companies utilized unused general- purpose data-center
capacity to provide cloud computing services.
• However, major providers began creating separate cloud-
computing business units and dedicated centers to make sure the
systems function optimally and maximize their revenue-
generation potential.
• Smaller providers, on the other hand, generally base their
services in bigger companies data centers.
• Cloud computing precursors include:
– Thin clients
– Grid computing
– Utility computing.
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8. • Major cloud computing services include:
– Amazon.com’s Amazon web services.
– Google’s Google Apps
– Salesforce.com’s Force.com.
• Microsoft’s Windows Azure provides general cloud-based
computing resources to users.
• Other cloud providers include AppNexus, GoGrid, Mosso
and Xcalibre Communications.
• Cisco Systems and Oracle are working on the technology.
• Hewlett-Packard, IBM, and Sun Microsystems have shown
interest in providing cloud computing services or
tools, according to James Staten, principal analyst at
Forrester Research.
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9. Under the Hood
• At their most basic, cloud-computing providers’ infrastructures
consists of internet-connected servers, at one site or distributed
across several locations, that house applications and data.
• They also include
virtualization, grid, management, database, and other types of
software
• They also include a communications infrastructure for
connecting users over the internet or a private network and a
usage monitoring and billing mechanism.
• Clients generally use browsers or dedicated software to access
cloud applications, which they frequently use via APIs.
• Cloud service infrastructures must be designed to host multiple
tenants with high service levels over long period of time.
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10. • Some of the under the hood features are :
– Grids, blades, virtualization:
• Some companies use grids of distributed servers or multiple blade servers run by a
master controller to provide cloud-computing services.
– Dynamic infrastructure software:
• Most cloud systems employ infrastructure software that dynamically, rapidly, and
efficiently scales as needed to meet customer demand with little intervention by
service providers.
– Control:
• Companies use an API or web interface to control their cloud-based IT
infrastructures.
• Software developers use the APIs to control the systems programmatically.
– Implementation and billing:
• To implement cloud computing, organizations generally just have to set up a secure
account with the provider.
• In some cases, they must also download additional software.
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11. Types of Cloud Services
• There are four types of cloud services. They are :
– Services:
• Include internet based services.
– IaaS:
• Infrastructure as a service.
– Paas:
• Platform as a service.
– Saas:
• Software as a service.
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13. Adopting the cloud
• Most early cloud computing adopters have been Web 2.0
companies and start-ups.
• The ability to control costs and provision infrastructure as
needed particularly appeals to new businesses with fewer
resources.
• Web 2.0 companies also traditionally have fewer resources and
want the ability to easily ramp demand up or down as needed.
• Bigger companies, which generally wait to adopt new
technologies, are using cloud computing for occasional or
temporary projects that demand a lot of additional resources.
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14. Challenges on the Horizon
• Control.
• Performance, latency and reliability.
• Security and privacy.
• Related bandwidth costs.
• Vendor lock-in and standards.
• Transparency.
• Reliability.
• Other Concerns.
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15. What’s Ahead
• Because cloud computing is relatively new, particularly for large
companies, it promises to develop and change quickly.
• People suggest that there will be more providers, richer
services, established standards, and best practices.
• They also predict that organizations will develop private clouds behind
their firewalls for the use with employees, partners, and others.
• Research:
– HP labs , Intel and Yahoo have launched the distributed cloud Research
Test Bed – with facilities in Asia, Europe, and North America- to develop
innovations such as cloud-computing-specific chips.
– HP’s Daniels said they will conduct advanced research in areas such as
intelligent infrastructure, dynamic cloud services and scaling.
– “A fundamental challenge is that the cloud depends on handling increasing
demand by scaling out, doing more work simultaneously in parallel,” he
noted.
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16. Prospects
• The current difficult economic climate will boost cloud computing
appeal, particularly to companies without a lot of money for
infrastructure investment, predicted AppNexus chief technology
officer Mike Nolet.
• If clients can trust the uptime, speed, and security of a cloud, we
can’t see any reason not to use it.
• In addition, corporate data-center managers are facing increasing
problems with power consumption, space, and IT costs.
• Experts say that it will become easier this year to move data from
one cloud-computing system to another and that this will boost the
technology’s prospects.
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17. Summary
• Though Cloud computing has some problem’s and risks involved in it, the
future looks bright enough as the problems now being faced can be solved
in more effective methods than the present day.
• The problem’s such as reliability, security, the additional cost of the
necessary bandwidth and getting locked into a specific cloud computing
vendors, are temporary problems which can be dealt.
• The establishment of certain cloud computing firms which can be certified
and recognized can solve the basic issues such as reliability and security,
the additional cost of selecting the bandwidth will prove to be
advantageous because through cloud computing you can avoid other costs
such as maintaining and monitoring.
• Hence we can come to a conclusion that though cloud-computing is having
its hassles, now it has a very bright future perspectives’, as the advantages
dominate the flaws.
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