By Daron G. Green (auth.), Jukka Riekki, Mika Ylianttila, Minyi Guo (eds.)
This booklet constitutes the court cases of the sixth overseas convention, GPC 2011, held in Oulu, Finland in may perhaps 2011.
The 28 revised complete papers have been conscientiously revised and chosen from sixty two submissions and concentrate on the themes cloud, cluster, and grid computing; peer-to-peer computing; functions and HCI; modeling and verification; provider architectures; middleware; and sensor networks.
Read Online or Download Advances in Grid and Pervasive Computing: 6th International Conference, GPC 2011, Oulu, Finland, May 11-13, 2011. Proceedings PDF
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Extra info for Advances in Grid and Pervasive Computing: 6th International Conference, GPC 2011, Oulu, Finland, May 11-13, 2011. Proceedings
Leasing Instances. Leasing Instances are an extension of Amazon EC2 Reserved Instances. When they are idle, they will be submitted to C3 by primary user. The C3 can re-rent the instance to a second user. Primary user has to pay in full for the instance on year package and Pay by hour when running the instance with discount. The pricing method charging for primary user is the same as Reserved Instances do. The pricing method charging for second user is pay–per–use. Meanwhile, second user should allow the C3 to reclaim the instances at any time.
506–512 (2010) 3. : Using Anytime Algorithms in Intelligent Systems. AI Magazine 17(3), 73–83 (1996) 4. : Operational Rationality through Compilation of Anytime Algorithms. D. , Computer Science Division, University of California at Berkeley (1993) 5. : THEMIS: Towards Mutually Verifiable Billing Transactions in the Cloud Computing Environment. In: 3th IEEE International Conference on Cloud Computing, pp. 139–147 (2010) 6. : Accounting and Billing for Federated Cloud Infrastructures. In: Eighth International Conference on Grid and Cooperative Computing, pp.
The second objective function given by Equation (4) relates to finding a mapping from VMs to servers that minimizes the sum of distance of the current processor utilization in each server to its optimal point. In order to prevent the processor utilization of servers to exceed from its optimum point, we insert a penalty value (F) in this function. Table 1 shows the notations we have used in our optimization model. Table 1. Notations used in the rest of paper Indices i Index of each server j Index of each virtual machine j=1,2,…,N i=1,2,…,M Variables X'ij Binary variable:1 if virtual machine j runs on server i, otherwise 0 Z'i Binary variable:1 if server i is on, otherwise 0 Fi Binary variable: 1 if the total processor utilization on server i is greater than Optimum_Ui , otherwise 0 Parameters Cost_onoffi Cost of turning on and off the server i Cost_Migj Cost of migration of virtual machine j to any server Optimum_Ui Optimal point of processor utilization in server i Uij Processor utilization of virtual machine j in the given server i Zi Binary parameter: 1 if server i is on, otherwise 0 Xij Binary parameter: 1 if virtual machine j is running on server i, otherwise 0 ai ,bi Power cost constants in server i L A very large number Constraint (3) ensures that each VM has to be exactly allocated to one server.