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Karrox introduction to cloud computing

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  • So although they are often lumped together, the differences between utility computing and cloud computing are crucial. Utility computing relates to the business model in which application infrastructure resources — hardware and/or software — are delivered. While cloud computing relates to the way we design, build, deploy and run applications that operate in an a virtualized environment, sharing resources and boasting the ability to dynamically grow, shrink and self-heal.
  • What challenges do we need to meet to solve the problem? -- enumerate them

Transcript

  • 1. Cloud Computing – An Overview
  • 2. Cloud Computing - Some terms
    • Term cloud is used as a metaphor for internet
    • Concept generally incorporates combinations of the following
      • Infrastructure as a service (IaaS)
      • Platform as a service (PaaS)
      • Software as a service(SaaS)
    • Not to be confused with
      • Grid Computing – a form of distributed computing
        • Cluster of loosely coupled, networked computers acting in concert to perform very large tasks
      • Utility Computing – packaging of computing resources such as computing power, storage, also a metered services
      • Autonomic computing – self managed
  • 3. Grid Computing
    • Share Computers and data
    • Evolved to harness inexpensive computers in Data center to solve variety of problems
    • Harness power of loosely coupled computers to solve a technical or mathematical problem
    • Used in commercial applications for drug discovery, economic forecasting, sesimic analysis and back-office
    • Small to big
      • Can be confined to a corporation
      • Large public collaboration across many companies and networks
    • Most grid solutions are built on
      • Computer Agents
      • Resource Manager
      • Scheduler
    • Compute grids
      • Batch up jobs
      • Submit the job to the scheduler, specifiying requirements and SLA(specs) required for running the job
      • Scheduler matches specs with available resources and schedules the job to be run
      • Farms could be as large as 10K cpus
    • Most financial firms has grids like this
    • Grids lack automation, agility, simplicity and SLA guarantees
  • 4. Utility Computing
    • More related to cloud computing
      • Applications, storage, computing power and network
    • Requires cloud like infrastructure
    • Pay by the drink model
      • Similar to electric service at home
    • Pay for extra resources when needed
      • To handle expected surge in demand
      • Unanticipated surges in demand
    • Better economics
  • 5. Cloud computing – History
    • Evolved over a period of time
    • Roots traced back to Application Service Providers in the 1990’s
    • Parallels to SaaS
    • Evolved from Utility computing and is a broader concept
  • 6. Cloud computing
    • Much more broader concept
    • Encompasses
      • IIAS, PAAS, SAAS
    • Dynamic provision of services/resource pools in a co-ordinated fashion
      • On demand computing – No waiting period
      • Location of resource is irrelevant
        • May be relevant from performance(network latency) perspective, data locality
    • Applications run somewhere on the cloud
      • Web applications fulfill these for end user
      • However, for application developers and IT
        • Allows develop, deploy and run applications that can easily grow capacity(scalability), work fast(performance), and offer good reliability
        • Without concern for the nature and location of underlying infrastructure
      • Activate, retire resources
      • Dynamically update infrastructure elements without affecting the business
  • 7. Clouds Versus Grids
    • Clouds and Grids are distinct
    • Cloud
      • Full private cluster is provisioned
      • Individual user can only get a tiny fraction of the total resource pool
      • No support for cloud federation except through the client interface
      • Opaque with respect to resources
    • Grid
      • Built so that individual users can get most, if not all of the resources in a single request
      • Middleware approach takes federation as a first principle
      • Resources are exposed, often as bare metal
    • These differences mandate different architectures for each
  • 8. Cloud Mythologies
    • Cloud computing infrastructure is just a web service interface to operating system virtualization.
      • “ I’m running Xen in my data center – I’m running a private cloud.”
    • Cloud computing imposes a significant performance penalty over “bare metal” provisioning.
      • “ I won’t be able to run a private cloud because my users will not tolerate the performance hit.”
    • Clouds and Grids are equivalent
      • “ In the mid 1990s, the term grid was coined to describe technologies that would allow consumers to obtain computing power on demand.”
  • 9. Commercial clouds
  • 10. Cloud Anatomy
    • Application Services(services on demand)
      • Gmail, GoogleCalender
      • Payroll, HR, CRM etc
      • Sugarm CRM, IBM Lotus Live
    • Platform Services (resources on demand)
      • Middleware, Intergation, Messaging, Information, connectivity etc
      • AWS, IBM Virtual images, Boomi, CastIron, Google Appengine
    • Infrastructure as services(physical assets as services)
      • IBM Blue house, VMWare, Amazon EC2, Microsoft Azure Platform, Sun Parascale and more
  • 11. Cloud Computing - layers Layers Architecture
  • 12. What is a Cloud? Individuals Corporations Non-Commercial Cloud Middle Ware Storage Provisioning OS Provisioning Network Provisioning Service(apps) Provisioning SLA(monitor), Security, Billing, Payment Services Storage Network OS Resources
  • 13. Why cloud computing
    • Data centers are notoriously underutilized, often idle 85% of the time
      • Over provisioning
      • Insufficient capacity planning and sizing
      • Improper understanding of scalability requirements etc
    • including thought leaders from Gartner, Forrester, and IDC—agree that this new model offers significant advantages for fast-paced startups, SMBs and enterprises alike.
    • Cost effective solutions to key business demands
    • Move workloads to improve efficiency
  • 14. How do they work?
    • Public clouds are opaque
      • What applications will work well in a cloud?
    • Many of the advantages offered by Public Clouds appear useful for “on premise” IT
      • Self-service provisioning
      • Legacy support
      • Flexible resource allocation
    • What extensions or modifications are required to support a wider variety of services and applications?
      • Data assimilation
      • Multiplayer gaming
      • Mobile devices
  • 15. Cloud computing - Characteristics
    • Agility – On demand computing infrastructure
      • Linearly scalable – challenge
    • Reliability and fault tolerance
      • Self healing – Hot backups, etc
      • SLA driven – Policies on how quickly requests are processed
    • Multi-tenancy – Several customers share infrastructure, without compromising privacy and security of each of the customer’s data
    • Service-oriented – compose applications out of loosely coupled services. One service failure will not disrupt other services. Expose these services as API’s
    • Virtualized – decoupled from underlying hardware. Multiple applications can run in one computer
    • Data, Data, Data
      • Distributing, partitioning, security, and synchronization
  • 16. Public, Private and Hybrid clouds
  • 17. Public clouds
    • Open for use by general public
      • Exist beyond firewall, fully hosted and managed by the vendor
      • Individuals, corporations and others
      • Amazon's Web Services and Google appEngine are examples
    • Offers startups and SMB’s quick setup, scalability, flexibility and automated management. Pay as you go model helps startups to start small and go big
    • Security and compliance?
    • Reliability concerns hinder the adoption of cloud
      • Amazon S3 services were down for 6 hours
  • 18. Public Clouds (Now)
    • Large scale infrastructure available on a rental basis
      • Operating System virtualization (e.g. Xen, kvm) provides CPU isolation
      • “ Roll-your-own” network provisioning provides network isolation
      • Locally specific storage abstractions
    • Fully customer self-service
      • Service Level Agreements (SLAs) are advertized
      • Requests are accepted and resources granted via web services
      • Customers access resources remotely via the Internet
    • Accountability is e-commerce based
      • Web-based transaction
      • “ Pay-as-you-go” and flat-rate subscription
      • Customer service, refunds, etc.
  • 19. Private Clouds
    • Within the boundaries(firewall) of the organization
    • All advantages of public cloud with one major difference
      • Reduce operation costs
      • Has to be managed by the enterprise
    • Fine grained control over resources
    • More secure as they are internal to org
    • Schedule and reshuffle resources based on business demands
    • Ideal for apps related to tight security and regulatory concerns
    • Development requires hardware investments and in-house expertise
    • Cost could be prohibitive and cost might exceed public clouds
  • 20. Clouds and SOA
    • SOA Enabled cloud computing to what is today
    • Physical infrastructure like SOA must be discoverable, manageable and governable
    • REST Protocol widely used(Representational State Transfer)
  • 21. Clouds for Developers
    • Ability to acquire, deploy, configure and host environments
    • Perform development unit testing, prototyping and full product testing
  • 22. Open Source Cloud Infrastructure
    • Simple
      • Transparent => need to “see” into the cloud
      • Scalable => complexity often limits scalability
      • Secure => limits adoptability
    • Extensible
      • New application classes and service classes may require new features
      • Clouds are new => need to extend while retaining useful features
    • Commodity-based
      • Must leverage extensive catalog of open source software offerings
      • New, unstable, and unsupported infrastructure design is a barrier to uptake, experimentation, and adoption
    • Easy
      • To install => system administration time is expensive
      • To maintain => system administration time is really expensive
  • 23. Microsoft and Amazon face challenges
    • Globus/Nimbus
      • Client-side cloud-computing interface to Globus-enabled TeraPort cluster at U of C
      • Based on GT4 and the Globus Virtual Workspace Service
      • Shares upsides and downsides of Globus-based grid technologies
    • Enomalism (now called ECP)
      • Start-up company distributing open source
      • REST APIs
    • Reservoir
      • European open cloud project
      • Many layers of cloud services and tools
      • Ambitious and wide-reaching but not yet accessible as an implementation
    • Eucalyptus
      • Cloud Computing on Clusters
      • Amazon Web Services compatible
      • Supports kvm and Xen
    • Open Nebulous
    • Joyent
      • Based on Java Script and Git
  • 24. Open Source Cloud Ecosystem - Tools
    • RightScale
      • Startup focused on providing client tools as SaaS hosted in AWS
      • Uses the REST interface
    • Canonical
      • Ubuntu 9.10 (Karmic Koala)
      • Includes KVM and Xen Hypervisors
  • 25. Open Source Cloud Anatomy
    • Extensibility
      • Simple architecture and open internal APIs
    • Client-side interface
      • Amazon’s AWS interface and functionality (familiar and testable)
    • Networking
      • Virtual private network per cloud
      • Must function as an overlay => cannot supplant local networking
    • Security
      • Must be compatible with local security policies
    • Packaging, installation, maintenance
      • system administration staff is an important constituency for uptake
  • 26. Open Source Cloud Anatomy .. cntd
    • Private clouds are really hybrid clouds
      • Users want private clouds to export the same APIs as the public clouds
    • In the Enterprise, the storage model is key
      • Scalable “blob” storage doesn’t quite fit the notion of “data file.”
    • Cloud Federation is a policy mediation problem
      • No good way to translate SLAs in a cloud allocation chain
      • “ Cloud Bursting” will only work if SLAs are congruent
    • Customer SLAs allow applications to consider cost as first-class principle
      • Buy the computational, network, and storage capabilities that are required
  • 27. Open Source Clouds contd.
  • 28. Eucalyptus (Elastic Utility Computing Architecture Linking Your Programs To Useful Systems)
  • 29. Clouds and Virtualization
    • Operating System virtualization (Xen, KVM, VMWare, HyperV) is only apparent for IaaS
      • AppEngine = BigTable
    • Hypervisors virtualize CPU, Memory, and local device access as a single virtual machine (VM)
    • IaaS Cloud allocation is
      • Set of VMs
      • Set of storage resources
      • Private network
    • Allocation is atomic
    • SLA
    • Monitoring
  • 30. Cloud Performance
    • Extensive performance study using HPC applications and benchmarks
    • Two questions:
      • Performance impact of virtualization
      • Performance impact of cloud infrastructure
    • Observations:
      • Random access disk is slower with Xen
      • CPU bound can be faster with Xen -> depends on configuration
      • Kernel version is far more important
      • No statistically detectable overhead
      • AWS small appears to throttle network bandwidth and (maybe) disk bandwidth -> $0.10 / CPU hour
  • 31. Cloud Infrastructure
    • Network operations center
    • Physical Infrastructure
  • 32. Cloud Infrastructure ..contd
    • Physical Security
    • Cooling
  • 33. Cloud Infrastructure ..contd
    • Power infrastructure, Network Cabling, Fire safety
  • 34. Clouds – open for innovation
  • 35. Cloud computing open issues
    • Governance
      • Security, Privacy and control
      • SLA guarantees
      • Ownership and control
      • Compliance and auditing
        • Sarbanes and Oxley Act
    • Reliability
      • Good servive provider with 99.999% availability
    • Cloud independence – Vendor lockin?
      • Cloud provider goes out of business
    • Data Security
    • Cloud lockin and Loss of control
      • Plan for moving data along with Cloud provider
    • Cost?
    • Simplicity?
    • Tools
    • Controls on sensitive data?
      • Out of business
    • Big and small
      • Scalability and cost outweigh reliability for small businesses
      • Big businesses may have a problem
  • 36. Cloud articles
    • http://blogs.zdnet.com/Hinchcliffe/?p=488&tag=btxcsim
    • http://blogs.zdnet.com/Howlett/?p=558&tag=btxcsim
    • http://blogs.zdnet.com/BTL/?p=9560&tag=btxcsim
    • http://www.businessweek.com/technology/content/aug2008/tc2008082_445669_page_3.htm
    • http://www.ibm.com/developerworks/websphere/techjournal/0904_amrhein/0904_amrhein.html
    • http://cloudcomputing.sys-con.com/
  • 37. Battle in the cloud
    • Amazon Web Services
    • Google App Engine
      • Free upto 500 MB,
        • Free for small scale applications?
        • Universities?
      • Pay when you scale
    • GoGrid
    • .. Some more Hosting companies
    • Where is HP, IBM, Oracle(+sun) and Dell?
  • 38. Cloud Computing and its Opportunities
    • 'Cloud Computing and It's Opportunities' Workshop is sponsored in by karROX TEchnologies and Microsoft. 17th April, 2010 The workshop will be held at the Miraj Hotel, Andheri (East).
    • Students and Corporates realize the potential benefits of Cloud Computing, but they also have reasonable questions about the following:
    • What is Cloud Computing?
    • What is SaaS?
    • What is Paas?
    • What is laaS?
  • 39.
    • Fee details: - Registration before the 13th of April: Rs 1500/- per head + taxes   For group registrations (3 or more): Rs. 1200/- per head + taxes - Registration between 14th and 16th of April: Rs 2000/- per head + taxes   For group registrations (3 or more): Rs. 1800/- per head + taxes - Spot Registration at the venue: Rs. 2500/- per head + taxes For Students with valid ID cards: - Rs. 400/- per head for registration before the 16th of April - Rs. 600/- per head for registration on the 17th of April Mode of Payment: - Cash - DD/Cheque payable to Karrox Technologies Ltd. - Online - http://ticketing.ayojak.com/event/cloud-computing--its-opportunities For more information, email [email_address] or call Vasantha on +91-22-67080519