Author:
Marziyeh Bayati
Affiliation:
Université Paris-Est Créteil (UPEC), France
Keyword(s):
Data Center, Discrete Stochastic Process, Energy consumption, Energy Saving, Numerical Analysis, Quality of Service, Queues, Service Performance, Simulation.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy Monitoring
;
Energy-Aware Systems and Technologies
;
Optimization Techniques for Efficient Energy Consumption
Abstract:
The main goal of this paper is to manage the switching on/off of servers in a data center during time to adapt
the system with incoming traffic changes to ensure a good performance and a reasonable energy consumption.
In this work, the system is modeled by a queue then, an optimization algorithm is designed to manage energy
consumption and quality of service in the data center. For several systems, the algorithm is tested by numerical
analysis under various types of job arrivals: arrivals with constant rate, arrivals defined by an constant discrete
distribution, arrivals specified by a variable discrete distribution over time, and arrivals modeled by discrete
distributions obtained from real traffic traces. The optimization algorithm that we suggest, adapts and adjusts
dynamically the number of operational servers according to: traffic variation, workload, cost of keeping a job
in the buffer, cost of losing a job, and energetic cost for serving a job.