Temporal-variation-aware profit-maximized and delay-bounded task scheduling in green data center

Haitao Yuan, Jing Bi, Meng Chu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution


An increasing number of enterprises deploy their business applications in green data centers (GDCs) to address irregular and drastic natures in task arrival of global users. GDCs aim to schedule tasks in the most cost-effective way, and achieve the profit maximization by increasing green energy usage and reducing brown one. However, prices of power grid, revenue, solar and wind energy vary dynamically within tasks’ delay constraints, and this brings a high challenge to maximize the profit of GDCs such that their delay constraints are strictly met. Different from existing studies, a Temporal-variation-aware Profit-maximized Task Scheduling (TPTS) algorithm is proposed to consider dynamic differences, and intelligently schedule all tasks to GDCs within their delay constraints. In each interval, TPTS solves a constrained profit maximization problem by a novel Simulated-annealing-based Chaotic Particle swarm optimization (SCP). Compared to several state-of-the-art scheduling algorithms, TPTS significantly increases throughput and profit while strictly meeting tasks’ delay constraints.

Original languageEnglish (US)
Title of host publicationInternet and Distributed Computing Systems 12th International Conference, IDCS 2019, Proceedings
EditorsRaffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta
Number of pages10
ISBN (Print)9783030349134
StatePublished - 2019
Event12th International Conference on Internet and Distributed Computing Systems, IDCS 2019 - Naples, Italy
Duration: Oct 10 2019Oct 12 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11874 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Internet and Distributed Computing Systems, IDCS 2019

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Chaotic search
  • Green computing
  • Hybrid clouds
  • Particle swarm optimization
  • Profit maximization
  • Simulated annealing


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