Co-author(s) :

Oleksiak Ariel ; Narsisian Wahi ; Astsatryan Hrachya

Abstract:

The power consumption of data centers is becoming a crucial challenge in the context of the steadily increasing demand for computation. In this regard finding a way to improve energy efficiency of running applications in data centers is becoming a crucial trend. One method to improve the processor utilization is the consolidation of applications on physical servers. It is possible to run multiple jobs in parallel on the same machine, especially when their requirements regarding computation are smaller than the maximum processor performance. It reduces the number of servers in the data center required to handle multiple requests and therefore leads to energy usage reductions. In this paper, we introduce a realistic model of applications with deadlines executed in parallel on a server and competing for the shared resources and present an energy-aware algorithm which may be used to minimize the overall energy consumption of the servers.

Identifier:

oai:noad.sci.am:135853

Language:

English

URL:

Affiliation:

Pozna´n Supercomputing and Networking Center ; Pozna´n University of Technology ; Institute for Informatics and Automation Problems

Country:

Bulgaria

Year:

2016

Time period:

October 6-7

Conference title:

Third International Workshop on SustainableUltrascale Computing Systems (NESUS 2016)

Place:

Sofia

Participation type:

oral