Cloud Computing ?? Module 3 : Cloud Infrastructure – Cloud Management ... MOB (man overboard) Guardian, ... nderstanding-the-cloud-computing-stack-saas-paas-ia. Deployment Model. Title: PowerPoint Presentation

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  • Cloud Computing

    1/17/2012

  • Syllabus Module 1 : Definition and basics

    Definition Cloud Architecture Brief intro to SaaS, IaaS, PaaS

    Module 2 : Use of platform in Cloud Computing Abstraction and Virtualization Concept of Platform as a Service Use of a Google Web Service Use of Amazon Web Service Use of Microsoft Cloud Service

    Module 3 : Cloud Infrastructure Cloud Management Cloud Security

    Module 4 : Concept of service and application Service Oriented Architecture Applications in the Cloud Cloud based Storage Web Mail Services

  • Books Books Recommended:

    1. Cloud Computing Bible by Barrie Sosinsky, Wiley India Pvt. Ltd, 2013

    2. Mastering Cloud Computing by Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi, McGraw Hill Education

    (India) Private Limited, 20133. Cloud computing: A practical approach, Anthony T. Velte, Tata

    Mcgraw-Hill4. Cloud Computing, Miller, Pearson5. Building applications in cloud:Concept, Patterns and Projects,

    Moyer, Pearson

    References: 1. Cloud Computing Second Edition by Dr. Kumar Saurabh,

    Wiley India

  • Stories

    European researchers switch from super computers to cloud computing

    More than ever now, the European Commission needs to focus on buildingand growing the high-performance computing (HPC) market. High-performance computing (HPC) uses supercomputers to solve advancedcomputation problems and is a key enabler of ground-breaking innovationthat creates high wage jobs and allows Europes competitiveness to bemaintained.

    On average, 95% of the computing capacity of desktop computers inuniversities is wasted. By using Windows Azure, this capacity is maximized upto 99%. The traditional European supercomputing industry has largelyvanished

    Theme : Better resource utilization

  • Story - Continues

    AWS Case Study: Actual Analytics Actual Analytics develops solutions for automated, assisted video content

    analysis, enabling indexing and searching of video content based on what ishappening in the video. Their solutions enable the recognition of disease anddrug effects for use within the pharmaceutical industry.

    The company decided early that, due to the large and variable processingrequirements associated with video processing, they were going to use acloud platform to deliver their application.

    Azure : Saving lives at sea in the UK with cloud computingHigh numbers of deaths at sea is a major concern for anyone in the fishing industry, with an estimated 24,000 crew members drowning worldwide each year.

    GeoPoint, which transmits location data to a centralised tracking system, and MOB (man overboard) Guardian, which uses personal safety devices that can automatically trigger on-vessel alarms whilst sending a signal via satellite to the search-and-rescue service

    Theme : No capital expenditure

    Theme : Rapid Elasticity

  • Distributed and parallel computingA distributed system is a network of autonomous computers that communicate with each other in order to achieve a goal. The computers in a distributed system are independent and do not physically share memory or processors. They communicate with each other using messages, pieces of information transferred from one computer to another over a network.

    A distributed system is a collection of independent computers that appears to the user asa single coherent system. The association might be temporal. Example : Torrent

    To put in a very simple form Parallel Computing is about having multiple processors in asystem , which is kind of a shared memory model. Variations one processor with multipleALU, we can even use threading to parallelize programs. Homogeneous and tightlycoupled.

    Cluster Computing and Grid Computing are both forms of distributed computing , ClusterComputing is again more homogeneous and tightly coupled than a grid.

  • Parallel/ Distributed continued

  • Computing simplifying taxonomyMassive/High Performance Computing

    Distributed Computing

    Grid Computing

    Cluster Computing

    Parallel Computing

    Cloud Computing is most close to grid computing in terms of philosophy, however cloud computing overlaps , each one of them.

  • Gartner hype cycle

  • DefinitionCloud computing is a model for enabling convenient, on-demand network access to ashared pool of configurable computing resources (e.g., networks, servers, storage,applications, and services) that can be rapidly provisioned and released with minimalmanagement effort or service provider interaction.

    Cloud computing is a method of providing a set of shared computing resources that includes applications, computing, storage, networking, development, and deployment platforms aswell as business processes. Cloud computing turns traditional siloed computing assets intoshared pools of resources that are based on an underlying Internet foundation.

  • DefinitionCloud computing is a colloquial expression used to describe a variety of different typesof computing concepts that involve a large number of computers that are connectedthrough a real-time communication network (typically the Internet).

    Cloud computing is a jargon term a commonly accepted non-ambiguous scientific ortechnical definition. In science, cloud computing is a synonym for distributedcomputing over a network and means the ability to run a program on many connectedcomputers at the same time.

    So Grid computing brings massive scale and fault tolerance , which are essentialcomponents of cloud.

    Utility computing brings in the flavour of metered services and thus packaging of resourceslike computation , storage and network . It embodies the notion of Pay and Use.

  • CharacteristicsOn-demand self-service:

    The ability for an end user to sign up and receive services without the long delays that have characterized traditional ITBroad network access:Ability to access the service via standard platforms (desktop, laptop, mobile etc)

    Resource pooling:Resources are pooled across multiple customers

    Rapid elasticity:Capability can scale to cope with demand peaks Measured Service:Billing is metered and delivered as a utility service

    Simplified Version:The service is accessible via a web browser or a web service APIZero Capital Expenditure is necessary to get startedYou pay only for what you use , as you use it.

  • Case 1An enterprise needs a mail service/server.

    Server Machine

    Server OS ( Windows 2008 )

    Server Software ( Microsoft Exchange Server )

    People for maintaining the server , renewal

    Flip Side:

    -Server might be good for 5 years , but software for 3 years. So there can be a compatibility gap.

    - Server may not be fault tolerant

    - we need to estimate growth rate , peak size etc , else expansion is very difficult

    - Significant Investment

  • Cloud Solution-Get your mail server set up with Gmail

    Advantages:

    - You dont need to worry about maintenance

    - No down time and guaranteed fault tolerance

    - Infinite scalability

    - Very Standard features

    - Minimal lock-in

  • Cloud Choice

  • Sify

  • SaaS, PaaS, IaaS Service Model

    U have capacity to cook for 4 people at home. U are having 20 people coming in

    U order Pizza from Dominos ( SaaS )

    Ur neighbor , hands over her gas burner , with thegas cylinder, so u can cook for 4 , u just pay her atan hourly rate ( PaaS)

    U approach ur housing committee chairman and hegives u permission to use community hall, where ucan cook and dine. (IaaS)

  • Software as a Service (SaaS)

    Software as a Service (SaaS) is a software delivery business model in which a provider or third party hosts an application and makes it available to customers on a subscription basis. There are no upfront commitments, so the customer is spared any long-term contracts.SaaS customers use the software running on the providers infrastructure on a pay-as-you-go basis. This multi-tenancy may be objectionable to some companies due to the nature of their business, so providers may offer a physically isolated infrastructure for such customers and charge them for the extra costs associated with maintenance of the software and the hardware.

    Exchange Online is a full-featured email, calendar, and contacts solution delivered as a service hosted by Microsoft. Built on the same technologies as Microsoft Exchange Server, Exchange Online provides end users with a familiar experience across PCs, the Web and mobile devices, while giving IT administrators powerful Web-based tools for managing their online deployment.

  • Platform as a Service (PaaS)

    Platform as a Service (PaaS) fills the needs of those who want to build and run custom applications as services. These could be ISVs, value-added service providers, enterprise IT shops and anyone who needs custom applications. PaaS offers hosted application servers that have near-infinite scalability resulting from the large resource pools they rely on. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk is an even easier way for you to quickly deploy and manageapplications in the AWS cloud. You simply upload your application, and ElasticBeanstalk automatically handles the deployment details of capacity provisioning, loadbalancing, auto-scaling, and application health monitoring.

  • AWS Elastic Beanstalk

    For .NET DevelopersTo deploy .NET applications using AWS Elastic Beanstalk, you simply:Create your application as you normally would using Microsoft Vi