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1 ATI Cloud Computing

2 What is cloud computing?

3 Latar belakang: server maintenance

4 Biaya ITberdasarkan infrastruktur

5 Cost model di perusahaan Traditional cost model Cloud cost model

6 Traditional vs. Cloud application development Structural Oriented Programming Object Oriented Programming Service Oriented Architecture Cloud Computing Non Structural Programming Internet Internet Client Server Mainframe

7 Traditional vs. Cloud application development Organisation Tradition al Compile time Application Generation Runtime Application Generation Cloud Organisation A Organisation B Relational DB Structure- Driven Architecture Metadata- Driven Architecture Organisation C Single Tenant Dedicated Resources On Demand Shared Resources Multitenant Platform Multiple Codebases Local Environment Single Codebase Hosted Platform as a Service Application Infrastructure Complex Collaboration and Integration No Sharing Constraints and Governance Limits Simple Collaboration and Integration Sharing Constraints and Governance Limits Application as a Service Infrastructure as a Service

8 Cloud Computing is virtualized computing power and storage delivered via platform-agnostic infrastructures of abstracted hardware and software, accessed over the Internet. These shared, on-demand IT resources, are createdand disposedefficiently, are dynamicallyscalablethrough a variety of programmatic interfaces and are billed variably based on measurable usage.

9 What Cloud Computing for? 1. Web-scale problems 2. Large data centers 3. Different models of computing 4. Highly-interactive Web applications

10 1. Web-Scale Problems 2 Characteristics: Data-intensive focused problem Processing-intensive focused problem Examples: Crawling, indexing, searching, mining the Web Artificial Life Web 2.0 applications

11 How much data? Internet archive-waybackmachine has 2 PB + 20 TB/month (2006) Google processes 20 PB a day (2008) all words ever spoken by human beings ~ 5 EB National Oceanic and Atmospheric Administration has ~1 PB climate data (2007) CERN s LHC (particle accelerator) will generate 15 PB a year (2008) Info: PB: PetaByte = 1024 TB, EB: ExaByte = 1024 PB

12 2. Large Data Centers Web-scale problems? throw more machines at it! Trends: centralization of computing resources in large data centers Needs more infrastructures! Important Issues: Redundancy Efficiency

13

14 3. Different Computing Models Utility computing Why buy machines when you can rent? Examples: Amazon s EC2, GoGrid, AppNexus Infrastructure as a Service (IaaS) network architects Platform as a Service (PaaS) - developers Software as a Service (SaaS) end users Why do it yourself if you can pay someone to do it for you?

15

16 The Cloud Computing Principles - User centric: berorientasi pada pengguna - Openness: teknologinya standard - Interoperability: antar platform - Evolution: mudah dikembangkan - Transparency: tidak perlu mempermasalahkan dimana client dan servernya - Security: keamanan terjamin

17 Cloud Computing s Benefits Software as a Subscription Reduced Software Maintenance Cost Reduction Environmentally Friendly Matches Current Computing Trends Portability Version less Software

18 Ease of Use Deploy infrastructure with a API No cabling, screwdrivers, racking, unboxing, buying Anytime, anywhere, anyplace Do it yourself remotely from anywhere anytime

19 Risk Nothing to buy Cancel immediately Change instantly, even operating systems Throw it out Rebuild it instantly after testing RISK

20 Reliability Based on enterprise grade hardware Design for failures: Automatically replacements Use multiple clouds

21 Components of Cloud Computing Architecture the front end- is the part seen by the client, i.e. the computer user. This includes the client s network(or computer) and the applications used to access the cloud via user interface such as a web browser. the back end- is the cloud itself, comprising various computers, servers and data storage devices.

22 Cloud computing types Public clouds computing environment are open for use to anyonewho wants to sign up and use them. These are run by vendors and applications from different customers are likely to be mixed together on the cloud s servers, storage systems, and networks. Examples of a public cloud: Amazon Web Services and Google's AppEngine

23 Cloud computing types A private cloud is basicallyan organizationthat needs more control over their datathan they can get by using a vendor hosted service A hybrid cloud combine both public and private cloud models.

24 Private dan Public Cloud

25 Cloud computing architecture Cloud Service Consumers Cloud Service Provider Portal Security Software as a Service Cloud Service Management Cloud Application User Legacy System, Infrastructure Local Development Platform & IDE Cloud Application Developer API Platform as a Service Infrastructure as a Service Cloud Computing Operating Environment Management Cloud Business Manage Infrastructure Cloud Tools

26 Major Players Cloud Computing Services Google Microsoft Amazon Cordys Force.com MOSSO IBM

27 Cloud Providers

28 Types of Cloud Services 1. IaaS 2. PaaS 3. SaaS

29 Perbedaan istilah

30 Infrastructure as a Service (IaaS) sometimes referred as HaaSor Hardware as a Service and it involves bothstorage services and computing power. Provides user computing resources and storage comprised with many servers as an on-demand and pay per use service: Data Center, Bandwidth, Private Line Access, Servers and Server Room, Firewall, Storage space, VPN.. Examples: Amazon EC2 (ElasticComputeCloud) Rackspace: cheaper than EC2

31 Cloud Infrastructure Provide Compute and Storage clouds Virtualization layers (hardware/software) Examples: Amazon EC2, GoGrid, Amazon S3, Nirvanix, Linode Advantages: Full control of environments and infrastructure Disadvantages: premium price point, limited competition

32 Platform as-a-service (PaaS) With PaaS, computing platform provides supplies toolsand a development environment to help companies build, test, and deploy Web-based applications. Bundles all stack components (hardware, infrastructure, storage) together with database, security, workflow, user interface, and other tools that allow users to create and host powerful business applications, web sites, and mobile apps. API based, rapid application with low cost Examples Sales force Windows Azure

33 Cloud Platforms Closed environments Examples: Google App Engine, Heroku, Mosso, Engine Yard, Joyent or Force.com (SalesForce Dev Platform) Advantages: Good for developers, more control than Application Clouds, tightly configured Disadvantages: Restricted to what is available, other dependencies

34 Software as a Service (SaaS ) Applicationsor software is delivered as a service to the customer who can access the program from any online device, eliminating the need to install and run the application on the customer's own computers and simplifying maintenance and support. Ex: Hotmail, Google Apps, Skype, Sales Force Also called: on-demand service

35 SaaS can be defined through five key ideas: Services are fully managed and hosted; Have regular recurring payments (Pay-As- They-Go and Pay-As-They-Grow); Allow for anytime, anywhere access (usually 24/7 services) ; Have multiple tenants on servers Don t require installation of specialized software

36 Cloud Applications Most common Cloud / Many providers of different services Examples: Gmail, Yahoo! Mail, Quicken Online, Skype Advantages: Free, Easy, Consumer Adoption Disadvantages: Limited functionality, no control or access to underlying technology

37 Cloud OS & Addition EyeOS- ZeroPC- Cloud computing is eco-friendly Cloud computing is impossible without the Internet The key of cloud computing is trust!

38 Cloud Daily life

39 $50 per user per year

40 Future clouds

41 Future clouds

42 Cloud computing and IT issues: Service level agreements What assurances do we have for uptime, legal protection, and security? Uptime and reliability How does this provider compare to being able to locally host and manage our resources? Cost and affordability What personnel and technology resources are involved with a hosted versus local solution? Legal and organizational issues What organizational and legal issues do we need to consider?are we sure that the platform and our connection to it are secure? Staff knowledge How would migrating to this platform impact staff knowledge and competency? Do we know everything that we need to know?

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