CSE2013-cloud computing-L3-L4.pptx
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Cloud computing relies on core technologies like distributed computing, virtualization, service orientation, and web 2.0. It provides on-demand access to configurable computing resources like networks, servers, storage, applications and services over the internet. Applications that benefit from cloud include web applications for their varying workload demands and resource-intensive applications for their temporary large resource needs. Popular cloud platforms discussed are Amazon Web Services, Google App Engine, Microsoft Azure, Hadoop, and Force.com which provide infrastructure, platform and application services through web interfaces.
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CSE2013-cloud computing-L3-L4.pptx
- 3. Overview Application development Infrastructure and system development Computing platforms and technologies
- 5. What sort of applications benefit from cloud? • Dynamically scale on demand • Classes of applications 1. Web applications • Performance depends on workload generated by varying user demand • Rich, complex and interactive
- 6. What sort of applications benefit from cloud? 2. Resource-intensive applications • Data-intensive or compute-intensive applications • Resources are required to complete execution in a reasonable timeframe • But not required for a long duration • Not interactive, only batch processing • e.g. scientific applications
- 7. On-demand and dynamic scaling solution • How? (a) providing methods for renting compute power, storage, and networking (b) offering runtime environments designed for scalability and dynamic sizing (c) providing application services that mimic the behavior of desktop applications but that are completely hosted and managed on the provider side • Service orientation allows a simple and seamless integration into existing systems • Developers access such services via simple Web interfaces
- 9. Core technologies enabling the provisioning of cloud services DISTRIBUTED COMPUTING VIRTUALIZATION SERVICE ORIENTATION WEB 2.0
- 10. Distributed Systems • Extreme dynamism of cloud systems • New nodes and services are provisioned on demand • Infrastructure-as-a-Service solutions • Provide the capabilities to add and remove resources • Platform-as-a-Service solutions • embed into their core offering algorithms and rules that control the provisioning process and the lease of resources • Integration between cloud resources and existing system deployment ???
- 11. Web 2.0 • Constitute the interface through which cloud computing services are delivered, managed, and provisioned • Service orientation is the underlying paradigm • Cloud - XaaS—Everything-as-a-Service
- 12. Virtualization • Core feature of the infrastructure used by cloud providers • Virtualization concept is > 40 years old • but cloud computing introduces new challenges, especially in the management of virtual environments
- 14. How to develop cloud applications? • Leverage • Platforms • Technologies • Frameworks Amazon web services (AWS) Google AppEngine Microsoft Azure Hadoop Force.com and Salesforce.com Manjrasoft Aneka
- 15. Amazon web services (AWS) • IaaS • Platform that offers flexible, reliable, scalable, easy-to-use and, cost-effective cloud computing solutions • compute and storage-on- demand services • Elastic Compute Cloud (EC2) and Simple Storage Service (S3)
- 16. Amazon web services (AWS) • Elastic Compute Cloud (EC2) • Customizable virtual hardware • EC2 instances are deployed either by using • AWS console, which is a comprehensive Web portal for accessing AWS services • Web services API available for several programming languages • Simple Storage Service (S3) • Delivers persistent storage on demand • S3 is organized into buckets; these are containers of objects that are stored in binary form and can be enriched with attributes • Users can store objects of any size, from simple files to entire disk images, and have them accessible from everywhere
- 17. Google App Engine (GAE) • PaaS • Build highly scalable applications on a fully managed serverless platform • Large computing infrastructure of Google to dynamically scale
- 18. Google AppEngine • Services include in-memory caching, scalable data store, job queues, messaging, and cron tasks • GAE requires that applications be written in Java or Python, store data in Google Bigtable and use the Google query language. • IaaS similar to EC2 • Google provides GAE free up to a certain amount of use for the following resources: • processor storage • API calls • concurrent requests
- 19. Microsoft Azure • Provides a scalable runtime environment for Web applications and distributed applications
- 20. Microsoft Azure • Applications in Azure are organized around the concept of roles, which identify a distribution unit for applications and embody the application’s logic • Three types of role: Web role, worker role, and virtual machine role • Web role is designed to host a Web application • Worker role is a more generic container of applications and can be used to perform workload processing • Virtual machine role provides a virtual environment in which the computing stack can be fully customized, including the operating systems
- 21. Hadoop • Apache Hadoop is an open-source framework • that is suited for processing large data sets on commodity hardware • Hadoop is an integral part of the Yahoo! cloud infrastructure • Hadoop is an implementation of MapReduce, an application programming model developed by Google • which provides two fundamental operations for data processing: map and reduce • Map - transforms and synthesizes the input data provided by the user • Reduce - aggregates the output obtained by the map operations • Hadoop provides the runtime environment • Developers need only provide the input data and specify the map and reduce functions that need to be executed
- 22. Force.com and Salesforce.com • Force.com is a cloud computing platform for developing social enterprise applications • complete set of components supporting all the activities of an enterprise • provides complete support for developing applications - design of the data layout to the definition of business rules and workflows and the definition of the user interface • The platform is the basis for SalesForce.com, a Software-as-a-Service solution for customer relationship management
- 23. Manjrasoft Aneka • Cloud application platform for rapid creation of scalable applications • Supports a collection of programming abstractions for developing applications and a distributed runtime environment that can be deployed on heterogeneous hardware (clusters, networked desktop computers, and cloud resources) • Applications are executed on the distributed service-oriented runtime environment, which can dynamically integrate additional resource on demand • Services manage most of the activities happening at runtime: scheduling, execution, accounting, billing, storage, and quality of service
- 24. Basic Structure of Cloud Computing
- 25. Review Questions 1. Which are the technologies on which cloud computing relies? 2. Define cloud computing and identify its core features. 3. Briefly summarize the Cloud Computing Reference Model. 4. How is cloud development different from traditional software development?