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Energy-Aware Cloud Management through Progressive SLA Specification
| Content Provider | CiteSeerX |
|---|---|
| Author | Jrad, Foued Br, Ivona Streit, Achim |
| Abstract | Abstract. Novel energy-aware cloud management methods dynamically reallo-cate computation across geographically distributed data centers to leverage re-gional electricity price and temperature differences. As a result, a managed vir-tual machine (VM) may suffer occasional downtimes. Current cloud providers only offer high availability VMs, without enough flexibility to apply such energy-aware management. In this paper we show how to analyse past traces of dynamic cloud management actions based on electricity prices and temperatures to esti-mate VM availability and price values. We propose a novel service level agree-ment (SLA) specification approach for offering VMs with different availability and price values guaranteed over multiple SLAs to enable flexible energy-aware cloud management. We determine the optimal number of such SLAs as well as their availability and price guaranteed values. We evaluate our approach in a user SLA selection simulation using Wikipedia and Grid’5000 workloads. The results show higher customer conversion and 39 % average energy savings per VM. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Energy-aware Cloud Management Progressive Sla Specification Price Value Occasional Downtime Customer Conversion Managed Vir-tual Machine Novel Energy-aware Cloud Management Method Flexible Energy-aware Cloud Management Past Trace Specification Approach Energy-aware Management Reallo-cate Computation Novel Service Level Dynamic Cloud Management Action Enough Flexibility Temperature Difference High Availability Vms Multiple Slas Average Energy Saving Esti-mate Vm Availability Re-gional Electricity Price Price Guaranteed Value Electricity Price Data Center Optimal Number Different Availability User Sla Selection Simulation Current Cloud Provider |
| Content Type | Text |
| Resource Type | Article |