Download Cloud Computing and Services Science: Second International by Daniel Balouek, Alexandra Carpen Amarie, Ghislain Charrier, PDF

By Daniel Balouek, Alexandra Carpen Amarie, Ghislain Charrier, Frédéric Desprez (auth.), Ivan I. Ivanov, Marten van Sinderen, Frank Leymann, Tony Shan (eds.)

This ebook constitutes the completely refereed complaints of the second one overseas convention on Cloud Computing and providers technological know-how, nearer 2012, held in Porto, Portugal, in April 2012. The 15 papers have been chosen from a hundred forty five submissions and are awarded including one invited paper. The papers disguise the next subject matters: cloud computing basics, companies technological know-how beginning for cloud computing, cloud computing structures and purposes, and cloud computing permitting technology.

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Additional resources for Cloud Computing and Services Science: Second International Conference, CLOSER 2012, Porto, Portugal, April 18-21, 2012. Revised Selected Papers

Sample text

4 Decision Making The server state transitions contain three decision making points. The first one is to decide whether to accept or reject a new arriving job, and followed by a further decision is on whether or not to activate proactive recovery if the job is rejected. The third one is to decide whether to activate a proactive recovery or continue the job execution when the job is under the RUNNING state. In our proposal, these decisions are made on behalf of physical servers based on the expected net revenue.

Accept the job and change to RUNNING (step 2 in Figure 2(b)); 2. reject the job and stay in IDLE (step 8); 3. reject the job and activate a proactive recovery operation if a failure is predicted (step 6). To assure a positive net revenue, we devise a utility function to handle such decision making problems. In the first case, if the server comes into the RUNNING state, there are three further possible transitions coming out from the RUNNING state: 1a. if a failure is anticipated during RUNNING, move all running VMs and proactively launch the recovery (step 6); 1b.

Energy consumption per time unit for VM i. Task execution cost per time unit. Ucoei = USIOi + P rcegy Pi Job execution time, or contract life. Total task execution cost of VM i. Coei = Ucoei Tvm Penalty for SLA violations. Time spent on MALFUNCTION state. Time spent on RECOVERY state. The percentage of total bill that the provider has to refund. Probability of failures. VM migration cost. VM’s remaining lifetime. Probability of failures for a migrated VM. because a negative net revenue may be expected from a long-running job, whereas a positive net revenue is expected from a short-running job.

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