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Cloude computing By Gayatri Kumbhalkar

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Cloude computing By Gayatri Kumbhalkar

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cloud computing principle is now used commonly by server to store and takeout data from clouds. This principle works on the virtual world storage of data.

cloud computing principle is now used commonly by server to store and takeout data from clouds. This principle works on the virtual world storage of data.

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Cloude computing By Gayatri Kumbhalkar

  1. 1. Contents Introduction Concept of cloud computing Cloud computing Architecture Problems statement keyword Failure cases Feedback and update Flow of algorithm Cloud computing challenges Conclusion
  2. 2. WHAT IS CLOUD COMPUTING ?  Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal Devices to handle application.  In cloud computing, the word cloud is used as a metaphor for "the Internet," so the phrase cloud computing means "a type of Internet-based computing," where different services -- such as servers, storage and applications -- are delivered to an organization's computers and devices through the Internet  The cloud is itself a virtualisation of resources such as networks, servers, applications, data storage and services.  It can provide the user with many applications and services on demand via the web
  3. 3. • It is the result of evolution and adoption of existing technologies and paradigms. • Goals of cloud computing • Virtualization • Autonomic computing
  4. 4. Problem Statement To reduce the total time required for task scheduling in Cloud Computing using Activity Based Costing Algorithm
  5. 5. Keywords • Cloud Computing • Task Management • Activity Based Costing • Advance Algorithm
  6. 6. Overall Scenario $4 $1 $2 Dynamic Priority Allocator Queue 1 Queue 2 Queue 3 Cost Calculation Decide Priority According To Cost Virtual Machines Scheduling Server
  7. 7. Failure Cases • Simulation parameters • Average bounded slowdown and average per-processor slowdown • Average waiting time & average weighted waiting time • Network Error • Computational Error • Power Failure • Queue Overflow
  8. 8. Feedback and Update • When we get feedback from server that a particular activity is completed then we can schedule its dependent activity from waiting queue to its destination server. • After that each resource table and universal resource table gets updated. Waiting Queue A22 A34 A52 A62 ….
  9. 9. Flow of Algorithm
  10. 10. • Cloud computing presents enterprises with significant cost and agility benefits that IT will struggle to leverage due to security and control constraints • If IT doesn’t provide business units with easy access to inexpensive cloud services, they will engage with external providers themselves, bypassing IT policy and control
  11. 11. Conclusion • Cloud computing is a really cheap way for companies to have all the resources they need in once place. • It’s a much better way to spread your resources, and it becomes easier to access things from longer distances. But… • Is cloud computing really all that safe? For instance, while cloud computing has backups, if something was to go wrong… do you have your own personal backup? • Is cloud computing as private as you think it is? Is your data secure or can anyone access it?
  12. 12. Thank You…!!! 19th Apr 2012Sinhgad Institute of Technology

Hinweis der Redaktion

  • This is the overall scenario of scheduling process. There are three types of clients considered who pay different amount for cloud services they are using.This is what happen in general cloud computing. We need to maintain separate queues for these clients as they pay at different level.

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