Grid and Cloud Computing By: Simon Luangsisombath

Grid Computing The collection of computer resources from multiple locations to reach a common goal Divides pieces of a program to various computers Greatly reduces time taken to accomplish a goal meaning efficiency Mostly used when one computing unit is insufficient  Could range from a pc to a supercomputer

Examples of Grid Use SETI  Since it requires a large amount of computing they allow specified donors computing power for the project LHC  Is a closed grid not allowing donate processing power  They generate approximately 27 TB of data per day NFCR  They aim to find a cure for cancer using computational methods  They accept volunteers who donate a few computing cycles

Cloud Computing Computing that involves a large number of computers through a communication network Not only does it share resources but it allows dynamic reallocation on demand Multiple users can access a single server without purchasing licenses  Avoiding infrastructure cost  Allows business to focus on projects  Faster applications and improved manageability

Cloud Service Models Infrastructure as a service (Iaas)  Offer resources such as computers and virual machines  Hypervisors support large amounts of virtual machines and scale according to consumer requirements Platform as a Service(PaaS)  A model that crates the software using tools and/or libraries from the provider  Consumer controls software  Provider provides the services that require to host consumer application such as networks, server and storage

Software as a Service(SaaS)  Users are provided access to application software and databases  Cloud providers manage infrastructure and platforms of the application  Prices on pay-per-use The providers do the installing Clients have access to the application so it simplifies maintenance and support Cloud apps are different by scalability  Cloning task onto virtual machines at runtime

Grid vs. Cloud Ideally they do the exact same thing but differences come in scalability Cloud  Uses for small allocation request  Does not use real time resources but services that are provided  Can be open to the public Grid  Used for large request  Real time resources used  Available for connected systems

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