Cloud computing introduction

Cloud computing introduction

• 1.
  Introduction to CloudComputing 1 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 2.
  Defining Cloud Computing •Buyya defines: Cloud is a parallel and distributed computing system consisting of a collection of inter-connected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements (SLA) • Vanquero defines: Clouds are a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or services). These resources can be dynamically reconfigured to adjust to a variable load (scale), allowing also for an optimum resource utilization 2 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 3.
  • Cloud isa h/w based services offering compute, n/w and storage capacity where h/w management is highly abstracted from the buyer. Buyers incur infrastructure costs as variable OPEX, and infrastructure capacity is highly elastic • NIST-national institute of Standards & Technology characterise cc as “ as pay per use model for enabling available, convenient, on-demand n/w access to a shared pool of configurable computing resources. 3 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 4.
  Roots of CloudComputing H/w virtualization Multi core chips SOA Web2.0 Web Services Mashups Autonomic computing Data Center Automation Utility & grid Computing Distributed Computing Hardware Internet Technologies Systems Management 4 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 5.
  Internet Technologies • Utility– Pay per use, elastic capacity, self service interface and virtualised • SOA – Service Oriented Architecture) software resources are packaged as a “ services” ook • WS – Powerful services that accessed on- demand, in a uniform way. • Service Mashups – web information and services may be programmatically aggregated, acting as a building blocks of complex compositions. Eg. Amazon, google, facebook. 5 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 6.
  Computing Grid Computing • aggregationof distributed resources • transparently access • Problems • QoS, Lack of performance • Availability, Virtualization Utility Computing • assign a “utility” value to users • QoS constraints (deadline, importance, satisfaction) 6 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 7.
  Hardware Virtualization • Largescale data centers • Multiple OS and software stacks on a single physical platform • VMM-(Virtual machine monitor) also called hypervisor. • Workload migration also referred to as application mobility • VMM platforms exist that are the basis of many utility / cc environments. Eg. VMWare,Xen- hypervisor as a open source and KVM(Kernal based Virtual Machine) 7 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 8.
  8 Ms. T.K.Anusuya, Asst.Prof/CS, Bon Secours College for Women, Thanjavur.
• 9.
  Autonomic Computing • Autonomicor self-managing systems rely on monitoring probes and sensors (gauges) on an adaption engine and on effectors to carry out changes on the system. • IBM’s defines self configuration, self healing, self optimization and self protection. It is also called MAPE-K(Monitor Analyze Plan Execute- Knowledge). 9 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 10.
  Layers and Typesof Clouds 10 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 11.
  IaaS: Infrastructure asa Service – A cloud infrastructure enables on demand provisioning of servers running several choices of OS and a customized software stack. – It is considered as the bottom layer of cloud computing system. – Eg. Amazon Web Services mainly offers IaaS PaaS: Platform as a Service – It is a higher level of abstraction to make a cloud easily . – Eg. Google AppEngine. – Data access, authentication and payments. – Python and java specific programming language 11 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 12.
  SaaS: software asa Service • Top of the cloud stack • On-line software services • Traditional desktop apps such as word and spreadsheet can now be access in the web. • Eg. Salesforce.com offers business productivityapplications(CRM) 12 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 13.
  Deployment Models 13 Ms. T.K.Anusuya,Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 14.
  Desired Features ofa Cloud • This model satisfy expectations of consumers • Cloud offers – Self service – Per-Usage Metering and Billing – Elasticity – Customization 14 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 15.
  Cloud Infrastructure Management •The software toolkit responsible for this orchestration is called a VIM(virtual infrastructure manager) • This is a traditional OS • Two category of VIM – Toolkits that’s expose a remote and sevure interface for creating, controlling and monitoring virtualize resources. – Donot expose remote cloud like interfaces. 15 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 16.
  Features of VIM •Virtualization Support • Self service, on-demand resource provisioning • Multiple backend hypervisors • Storage virtualization • Interface to public clouds. • Virtual networking • Dynamic resource allocation • Virtual clusters 16 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 17.
  Features of IaaS •Geographic distribution of data centers • Variety of user interfaces and APIs to access the systems • Specialized components(firewalls) • Choice of virtualization platform and OS • Different billing methods – Post paid, prepaid – Hours, monthly 17 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 18.
  Features of PaaS •Programming Models, Languages, and Frameworks • Persistence Options 18 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 19.
  Challenges and Risks •Security, Privacy and Trust • Data Lock-in and standardization • Availability, fault tolerance and disaster recovery • Resource Management and Energy - Efficiency 19 Ms. T.K.Anusuya, Asst. Prof/CS, Bon Secours College for Women, Thanjavur.
• 20.
  Ms. T.K.Anusuya, Asst.Prof/CS, Bon Secours College for Women, Thanjavur. 20