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Resource Allocation for Minimized Power Consumption in Hardware Accelerated Clouds
Date
2019-01-01
Author
Ekici, Nazim Umut
Schmidt, Klaus Verner
Yazar, Alper
Schmidt, Şenan Ece
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this paper we propose ACCLOUD-MAN, a novel resource manager for heterogeneous cloud data centers. In heterogeneous clouds a user request can be satisfied with more than one physical resource alternative. That is, the resource manager must decide which resource alternative will be chosen, along with the decision of the server the request will be assigned to. ACCLOUD-MAN's resource management objective is to reduce the power consumption of the cloud data center. To this end, the manager is modeled as an integer linear programming problem and is implemented in MATLAB, along with a cloud data center simulation platform. Simulation results show that the proposed ACCLOUD-MAN outperforms existing resource allocation methods such as Openstack.
Subject Keywords
Green computing
,
Resource management
,
Hardware accelerator
,
Cloud computing
,
Data center
URI
https://hdl.handle.net/11511/57150
DOI
https://doi.org/10.1109/icccn.2019.8847159
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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BibTeX
N. U. Ekici, K. V. Schmidt, A. Yazar, and Ş. E. Schmidt, “Resource Allocation for Minimized Power Consumption in Hardware Accelerated Clouds,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57150.