Titlebook: Economics of Grids, Clouds, Systems, and Services; 13th International C José ángel Ba?ares,Konstantinos Tserpes,J?rn Altma Conference proce

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avarice

Energy Prediction for Cloud Workload Patterns enhance the energy efficiency of Cloud resources, proactive and reactive management tools are used. However, these tools need to be supported with energy-awareness not only at the physical machine (PM) level but also at virtual machine (VM) level in order to enhance decision-making. This paper intr

maintenance

An Energy Aware Cost Recovery Approach for Virtual Machine Migrationsuggest that approximately 30% of the running servers in US datacenters are idle and the others are under-utilized, making it possible to save energy and money by using Virtual Machine (VM) consolidation to reduce the number of hosts in use. However, consolidation involves migrations that can be exp

開玩笑

The Design and Evaluation of a Heaviness Metric for Cloud Fairness and Correct Virtual Machine Confirtual Machine (VM) scheduling impels the traditional solution. Scheduling determines the order in which VMs/jobs are started. However, it is insufficient to enforce fairness, when jobs/VMs run over long periods and/or their PR utilization is highly fluctuant. Clouds form a special case of data cente

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BIAS

An Economical Security Architecture for Multi-cloud Application Deployments in Federated Environmentprotocols and software. We highlight its feasibility by applying the architecture within the CYCLONE innovation action, deploying federated Bioinformatics applications within a cloud production environment. At last, we put special emphasis on the reduced management efforts to highlight the economic benefit of following our approach.

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https://doi.org/10.1007/978-94-010-1100-6 which, based on policies, measurements, usage data computations, and monitoring methods permits proactive SLA violation detection and handling. SLA renegotiation is supported as well. The proposed framework has been developed and evaluated in challenging scenarios in a variety of different application domains.