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

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

This publication constitutes the completely refereed lawsuits of the second one overseas convention on Cloud Computing and providers technology, 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 subsequent issues: cloud computing basics, companies technology starting place for cloud computing, cloud computing systems and functions, and cloud computing allowing 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

Example text

2)) VM VM1 VM2 VM3 VMM (Alg. 1) Server node n Fig. 5. The scheduling framework provider. In fact, the revenue could be further increased through collaborative use of server management and cloud scheduling algorithm. Figure 5 shows the framework. Algorithm 1 is implemented at the Virtual Machine Monitor (VMM), which takes in charge of failure estimation, VM migration and proactive recovery. Below, we discuss how to schedule the VMs for increasing cloud provider’s revenue. , P03 in Figure 3). Theorem 2.

That is, a high reliable server could contribute to reduce the penalty, while consolidation is able to reduce energy cost. For example, Mastroianni et al. [21] present a decentralized solution for VM consolidation. That is, if the CPU utilization of a server is below certain threshold, VMs on other servers could be migrated to it. While if the CPU utilization of a server is above certain threshold, VMs on it can be migrated to other underloaded servers. The improved version with considering penalty cost could be: if the CPU utilization of a server is below certain threshold, VMs on the least reliable and overloaded server could be migrated to it.

The VM migrates from a server i to a server j only because j can yield a greater net revenue. , Tvm ): Rvui ail ). The expect net revenue obtained from a migration has been described as Rvuj mig . , PfMig ail ) follows both Inequality 8 and 9 will be selected to execute the migrated VM. In case of more than one server meets this condition, the VM migrates to the one with maximum reliability to proceed. If no appropriate processors are found, maintain the VM at the original server until finish or failure.

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