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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Bibliographic Details
Main Authors: Krzywda, Jakub, Meyer, Vinicius, Xavier, Miguel G., Ali-Eldin, Ahmed, Ostberg, Per-Olov, De Rose, Cesar A. F., Elmroth, Erik
Format: Conference Proceeding
Language:English
Subjects:
Cloud computing
Computational modeling
Data centers
Data models
power budgeting
Power demand
Quality of service
Servers
simulation
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Summary: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.
ISSN:2377-5750
DOI:10.1109/PDP50117.2020.00020