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Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation to...
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| creator | Krzywda, Jakub Meyer, Vinicius Xavier, Miguel G. Ali-Eldin, Ahmed Ostberg, Per-Olov De Rose, Cesar A. F. Elmroth, Erik |
| description | Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation to servers and hosted applications, testing them has been challenging with no available simulation platform that enables such testing for different scenarios and configurations. To facilitate evaluation and comparison of such techniques and algorithms, we introduce a simulation model for Quality-of-Service aware power budgeting and its implementation in CloudSim. We validate the proposed simulation model against a deployment on a real testbed, showcase simulator capabilities, and evaluate its scalability. |
| doi_str_mv | 10.1109/PDP50117.2020.00020 |
| format | conference_proceeding |
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| fulltext | fulltext_linktorsrc |
| identifier | EISSN: 2377-5750 |
| ispartof | 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020, p.88-93 |
| issn | 2377-5750 |
| language | eng |
| recordid | cdi_ieee_primary_9092433 |
| source | IEEE Xplore All Conference Series |
| subjects | Cloud computing Computational modeling Data centers Data models power budgeting Power demand Quality of service Servers simulation |
| title | Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers |
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