Multi-Class Queuing Networks Models for Energy Optimization

Journal Title: EAI Endorsed Transactions on Energy Web - Year 2015, Vol 2, Issue 6

Abstract

The increase of energy consumption and the related costs in large data centers has stimulated new researches on techniques to optimize the power consumption of the servers. In this paper we focus on systems that should process a peak workload consisting of different classes of applications. The objective is to implement a policy of load control which allows an efficient use of the power deployed to the resources. The proposed strategy controls the workload mix in order to achieve the maximum utilization of all the resources allocated. As a consequence, the power provision will be fully utilized and the throughput maximized. Thus, the costs to execute a given workload will be minimized, together with its energy consumption, since the required processing time is decreased.

Authors and Affiliations

Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi

Keywords

Related Articles

Capacity Enhancement and Voltage Stability Improvement of Power Transmission Line by Series Compensation

To install a new infrastructure of a power transmission line is not only costly but also time-consuming, and it also have some harmful impact on our environment and therefore existing transmission infrastructure is impor...

Design and Analysis of Gas Turbine Blade with Cooling

The turbine inlet temperature in advanced gas turbine engine is very high and it is above the melting point of blade material. In this project radial convective cooling method is used. The turbine blade with cooling hole...

Low Energy Clustering in BAN Based on Fuzzy Simulated Evolutionary Computation

A low energy clustering method of body area networks based on fuzzy simulated evolutionary computation is proposed in this paper. To reduce communication energy consumption, we also designed a fuzzy controller to dynamic...

Analysis on Improving the Response Time with PIDSARSA-RAL in ClowdFlows Mining Platform

This paper provides an improved parallel data processing in Big Data mining using ClowdFlows platform. The big data processing involves an improvement in Proportional Integral Derivative (PID) controller using Reinforcem...

A Survey of Key Negotiation and Authentication Systems in WSNs

Wireless Sensor Networks (WSNs) is a type of adhoc network that is use to sense some phenomena with the help of sensor nodes. The nodes have scarce resources like power, storage, processing power, sensing and communicati...

Download PDF file
  • EP ID EP45138
  • DOI http://dx.doi.org/10.4108/icst.valuetools.2014.258214
  • Views 234
  • Downloads 0

How To Cite

Davide Cerotti, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, Giuseppe Serazzi (2015). Multi-Class Queuing Networks Models for Energy Optimization. EAI Endorsed Transactions on Energy Web, 2(6), -. https://europub.co.uk/articles/-A-45138