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

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

31
views

0
downloads

Cite This

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

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar