Cloud Computing 1/17/2012

Transcription

1 Cloud Computing 1/17/2012

2 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

3 Books Books Recommended: 1. Cloud Computing Bible by Barrie Sosinsky, Wiley India Pvt. Ltd, Mastering Cloud Computing by Rajkumar Buyya, Christian Vecchiola, S. Thamarai Selvi, McGraw Hill Education (India) Private Limited, Cloud computing: A practical approach, Anthony T. Velte, Tata Mcgraw-Hill 4. Cloud Computing, Miller, Pearson 5. Building applications in cloud:concept, Patterns and Projects, Moyer, Pearson References: 1. Cloud Computing Second Edition by Dr. Kumar Saurabh, Wiley India

4 Stories European researchers switch from super computers to cloud computing More than ever now, the European Commission needs to focus on building and growing the high-performance computing (HPC) market. Highperformance computing (HPC) uses supercomputers to solve advanced computation problems and is a key enabler of ground-breaking innovation that creates high wage jobs and allows Europe s competitiveness to be maintained. On average, 95% of the computing capacity of desktop computers in universities is wasted. By using Windows Azure, this capacity is maximized up to 99%. The traditional European supercomputing industry has largely vanished Theme : Better resource utilization

5 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 is happening in the video. Their solutions enable the recognition of disease and drug effects for use within the pharmaceutical industry. The company decided early that, due to the large and variable processing requirements associated with video processing, they were going to use a cloud platform to deliver their application. Theme : Rapid Elasticity Azure : Saving lives at sea in the UK with cloud computing High 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

6 Distributed and parallel computing A 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 as a 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 a system, which is kind of a shared memory model. Variations one processor with multiple ALU, we can even use threading to parallelize programs. Homogeneous and tightly coupled. Cluster Computing and Grid Computing are both forms of distributed computing, Cluster Computing is again more homogeneous and tightly coupled than a grid.

7 Parallel/ Distributed continued

8 Computing simplifying taxonomy Massive/High Performance Computing Distributed Computing Parallel Computing Grid Computing Cluster Computing Cloud Computing is most close to grid computing in terms of philosophy, however cloud computing overlaps, each one of them.

9 Gartner hype cycle

10 Definition Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management 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 as well as business processes. Cloud computing turns traditional siloed computing assets into shared pools of resources that are based on an underlying Internet foundation.

11 Definition Cloud computing is a colloquial expression used to describe a variety of different types of computing concepts that involve a large number of computers that are connected through a real-time communication network (typically the Internet). Cloud computing is a jargon term a commonly accepted non-ambiguous scientific or technical definition. In science, cloud computing is a synonym for distributed computing over a network and means the ability to run a program on many connected computers at the same time. So Grid computing brings massive scale and fault tolerance, which are essential components of cloud. Utility computing brings in the flavour of metered services and thus packaging of resources like computation, storage and network. It embodies the notion of Pay and Use.

12 Characteristics On-demand self-service: The ability for an end user to sign up and receive services without the long delays that have characterized traditional IT Broad 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 API Zero Capital Expenditure is necessary to get started You pay only for what you use, as you use it.

13 Case 1 An 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

14 Cloud Solution -Get your mail server set up with Gmail Advantages: - You don t need to worry about maintenance - No down time and guaranteed fault tolerance - Infinite scalability - Very Standard features - Minimal lock-in

15 Cloud Choice

16 Sify

17 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 the gas cylinder, so u can cook for 4, u just pay her at an hourly rate ( PaaS) U approach ur housing committee chairman and he gives u permission to use community hall, where u can cook and dine. (IaaS)

18 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 provider s infrastructure on a pay-asyou-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 , 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.

19 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 manage applications in the AWS cloud. You simply upload your application, and Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

20 AWS Elastic Beanstalk For.NET Developers To deploy.net applications using AWS Elastic Beanstalk, you simply: Create your application as you normally would using Microsoft Visual Studio. Publish your application to AWS Elastic Beanstalk using the AWS Toolkit for Visual Studio. Alternatively, you can package your deployable code into a Microsoft Web Deploy.zip package and upload to AWS Elastic Beanstalk using the AWS Management Console. Behind the scenes, Elastic Beanstalk handles the provisioning of a load balancer and the deployment of your Microsoft Web Deploy package to one or more Amazon EC2 instances running Windows Server 2008 R2 and IIS 7.5. Within minutes you can access your application at a customized URL (e.g.

21 Infrastructure as a Service (IaaS) Infrastructure as a Service (IaaS) is similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacenter. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. Some providers may even allow flexibility in hardware configuration, which makes the service more expensive when compared to an equivalent PaaS offering. PaaS offers hosted application servers that have near-infinite scalability resulting from the large resource pools they rely on. Oracle Infrastructure as a Service Infrastructure as a Service On Premise with Capacity on Demand Oracle Infrastructure as a Service (Oracle IaaS) delivers Oracle Engineered Systems hardware and support for a monthly fee, with no upfront capital expenditures. Oracle IaaS combines the security and control of on-premise systems with unique features of cloud computing, including Capacity on Demand, which enables businesses to access and pay for peak CPU capacity only when needed.

22 SaaS, PaaS, IaaS Contd. - Getting a windows virtual machine, will be IaaS - A Windows VM, with a.net Framework and development Framework will be example of PaaS -A.Net application, exposed in Cloud will be an example of SaaS Even more layman terms -IaaS will be concerning hardware, storage and Networking - PaaS will be concerning operating system and development environments like.net, Java, Python etc. - SaaS are the applications Gap between IaaS and PaaS are reducing rapidly

23 Cloud Cube model Who is supporting the model? Within your organization premise or not? With in network firewall or not? Can you change to another cloud provider at will?

24 Deployment Model

25 Cloud reference architecture

26 Benefits of cloud Lower Cost Ease of Utilization Quality of Service Reliability Outsourced IT Management Simplified maintenance and upgrade Low barrier to entry

27 Disadvantages of cloud Less flexibility Inherent Latency Privacy and Security

28 Reference nderstanding-the-cloud-computing-stack-saas-paas-ia

29 Deployment Model