Energy-aware SRPT server with batch arrivals: Analysis and optimization

Misikir Eyob Gebrehiwot*, Samuli Aalto, Pasi Lassila

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

Abstract

We consider the optimal energy-aware control of a single server with batch arrivals and applying the SRPT scheduling rule. The server is modeled as an MX∕G∕1 queue with a particular control policy that puts the server to a sleep mode to save energy with an additional delay cost, the setup delay, after the server is turned on again. We first consider an ordinary MX∕G∕1-SRPT system that does not go to sleep, and derive the mean response time equation. We then consider the more elaborate energy-aware MX∕G∕1-SRPT system, and show that the mean response time can be decomposed into two parts: the mean response time of an ordinary MX∕G∕1-SRPT, and an additional penalty term for switching the server to a sleep state. Furthermore, we study the energy-performance optimization of the system and prove that, for the Energy Response time Weighted Sum (ERWS) and Energy Response time Product (ERP) cost metrics, the optimal control either puts the server into a sleep state immediately when it becomes idle or keeps it idling until the next job arrives.

Original languageEnglish
Pages (from-to)92-107
Number of pages16
JournalPerformance Evaluation
Volume115
DOIs
Publication statusPublished - 1 Oct 2017
MoE publication typeA1 Journal article-refereed

Keywords

  • Batch arrivals
  • M∕G∕1-SRPT
  • Performance-energy trade-off
  • Setup delay

Fingerprint Dive into the research topics of 'Energy-aware SRPT server with batch arrivals: Analysis and optimization'. Together they form a unique fingerprint.

  • Press / Media

    Optimal control for energy-aware server farms

    Samuli Aalto & Pasi Lassila

    25/09/2018

    1 item of Media coverage

    Press/Media: Media appearance

    Cite this