Market Oriented Cloud Computing

1. Market Oriented Cloud Computing Vision, Hype, and Reality for delivering IT Services as Computing Utilities By RajkumarBuyya Chee Shin Yeo SrikumarVenugopal

2. Outline • Computer Utilities Vision and Promising IT Paradigms/Platform • Cloud Computing and Related Paradigms Trends, Definition, Cloud Benefits and Challenges • Market Oriented Cloud Architecture SLA- Oriented Resource Allocation Global Cloud Exchange and Markets • Emerging Cloud Platforms • Summary and Thought for future

3. The Next Revolution in IT Cloud Computing • Subscribe • Use • $..pay for what you use, QoS Classical Computing • Buy & Own • Install, Configure, Test, Verify, Evaluate • Manage • Finally Use it • $$$..$

4. Computer Utilities • 1969 – Leonard Kleinrock, ARPANET project • “As of now, computer networks are still in their infancy, but as they grow up and become sophisticated, we will probably see the spread of “Computer Utilities”, which, like present electric and telephone utilities, will service individual homes and offices across the country”. • During the last 40 years, several advances have taken place in both “computing” and “communications” areas that are turning the vision of “Computer Utilities” in to a reality.

5. Computing Paradigms ? } Web Data Centres Utility Computing Service Computing Grid Computing P2P Computing Market-Oriented Computing Cloud Computing … + • -Ubiquitous -Reliable • Scalable • Autonomic • Dynamic discovery • Composable • -QoS • -SLA • - … • Trillion $ business Paradigms

6. Grid & Cloud Computing • Grid Computing • Enables sharing, selection and aggregation of a wide variety of geographically distributed resources for solving large scale resource intensive problems. • Ease of use and reliable. • Cloud Computing • Promises reliable services through data centers that are built on compute and storage virtualization technologies. • Users can access data from “Cloud” anywhere on demand. • Cloud is robust and available anytime.

7. Web Trends

8. Defining Cloud • "A Cloud is a type of parallel and distributed system consisting of a collection of interconnected and virtualised computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and consumers.” • SLA = {negotiated and agreed QoS parameters + rewards + penalties for violation of agreement....}

9. Subscription-Oriented Cloud Services Cloud Manager Clients Private Cloud Other Cloud Services Govt. Cloud Services

10. Rentable Cloud Services • Infrastructure as a Service (IaaS) • CPU, Storage: Amazon.com, Nirvanix, GoGrid…. • Platform as a Service (PaaS) • Google App Engine, Microsoft Azure, Manjrasoft Aneka.. • Software as a Service (SaaS) • SalesForce.Com

11. Private/Enterprise Clouds Public/Internet Clouds 3rd party, multi-tenant Cloud infrastructure & services: * available on subscription basis Cloud model run within a company’s own Data Center / infrastructure forinternal and/or partners use. Cloud Deployment Models Hybrid/InterClouds Mixed usage of private and public Clouds: Leasing publiccloud serviceswhen private cloud capacity is insufficient

12. Pricing Scalability Resource Metering QoS Reliability Service Level Agreements Billing Provisioning on Demand Utility & Risk Management Legal &Regulatory Security Uhm, I am not quite clear…Yet another complex IT paradigm? Programming Env. & Application Dev. Privacy Trust Software Eng. Complexity Challenges Virtualization Energy Efficiency

13. Layered Cloud Computing Architecture Cloud applications Social computing, Enterprise, ISV, Scientific, CDNs, ... User level Cloud programming: environments and tools Web 2.0 Interfaces, Mashups, Concurrent and Distributed Programming, Workflows, Libraries, Scripting User-LevelMiddleware Apps Hosting Platforms QoS Negotiation, Admission Control, Pricing, SLA Management, Monitoring, Execution Management, Metering, Accounting, Billing Autonomic / Cloud Economy Adaptive Management CoreMiddleware Virtual Machine (VM), VM Management and Deployment Cloud resources System level

14. Market Oriented Cloud Architecture • Consumers will require different QoS to be maintained by their providers. • Providers will need to consider and meet different QoS parameter of each individual consumer • So market oriented resource management is necessary to regulate the supply and demand cloud resources at market equilibrium.

15. Market Oriented Cloud Architecture

16. Market Oriented Clouds • Support customer-driven service management. • Define computational risk management tactics. • Derive appropriate market-based resource management strategies. • Incorporate autonomic resource management models. • leverage VM technology to dynamically assign resource shares according to service requirements.

17. Emerging Cloud Platforms • Amazon EC2 • Google App Engine • Microsoft Live Mesh • Sun Grid • Grid labs Aneka

18. Amazon EC2 • Elastic Compute Cloud (EC2) • Amazon Machine Image (AMI) • EC2 Uses XEN Virtual Machine • Virtual Os :Linux, Solaris, Windows • Simple Storage Service • Elastic IP address • Amazon Cloud Watch • Reliability

19. Google App Engine • For developing and hosting web application in Google managed datacenter • Web based Administration Console. • Free up to certain level of consumption. • Support for python, java, and Go • Restrictions

20. Microsoft Live Mesh • Access stuffs on your computer from almost anywhere using internet. • Access through Web based Live Desktop or own device with Live Mesh software installed. • Password protected and authenticated via Windows Live Login. • File transfers are protected using SSL

21. Sun Grid • Now Know as oracle Grid • Solaris OS, Java, C, C++ and FORTRAN. • Open source batch queuing system. • Sun Grid Web Portal or API. • Used on computer farm or high performance computing cluster

22. Grid Labs Aneka • Based on .Net framework of Service Oriented Platform. • Supports multiple application models and communication protocols. • Create and start enterprise instance. • Provides SLA • Grid bus broker

24. Limitations of present service providers • Inflexible pricing • Consumers are restricted to offering from a single provider at a time • Unable to swap one provider for another • No standard interface

25. Global Cloud Exchange

26. Global Cloud Exchange • Market directory • Banking system • Brokers • Price setting mechanism • Admission control mechanism • Resource management system • Consumers utility function • Resource management proxy

27. Benefits • Bridge disparate Clouds • Allows consumer to choose provider that suits their requirements • Help providers to perform effectively • Help Brokers to gain their utility through difference in price.

28. Challenges • Unwillingness to shift from traditional controlled environment • Regulatory pressure • How to obtain restitution in case of SLA violation

29. Conclusion • Cloud Computing is new and promising paradigm. • Paper discusses market oriented allocation of resources within clouds and emerging cloud platforms. • Cloud technologies needs extended support: QoS between user and providers to establish SLA’s • Protocols needs to be extended to support interoperability between different cloud services. • Market oriented global Cloud exchange for trading services. • Address regulatory and legal issues.

30. Thank You!!