Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments | SpringerLink
Skip to main content
Springer Nature Link
Log in

Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments

  • Conference paper
Swarm Intelligence (ANTS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7461))

Included in the following conference series:

Abstract

Current researches are focusing on optimizing energy consumption in Grid computing [1], being the job scheduling a challenging task. These researches reduce the energy consumption by heuristics or greedy algorithms and some of them try to balance this reduction regarding the execution time using weights for evaluating these objectives. In this work, a new approach is studied related to the multi-objective optimization for these two conflictive objectives, considering them with the same importance. The obtained solutions show the suitable resources for each job and their order of execution. This new approach is called MO-FA (Multi-Objective Firefly Algorithm) and it is based on the recent FA (Firefly Algorithm)[2] adding multi-objective properties to the preceding versions. The scheduler is implemented in the well-known grid simulator, GridSim to recreate the performance of grid infrastructures and compare MO-FA with other schedulers like Workload Management System (WMS) from the most used European middleware Lightweight Middleware for Grid Computing (gLite) and also the well-known Deadline Budget Constraint (DBC) from Nimrod-G.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Lee, Y.C., Zomaya, A.Y.: Energy conscious scheduling for distributed computing systems under different operating conditions. IEEE Trans. Parallel Distrib. Syst. 22(8), 1374–1381 (2011)

    Article  Google Scholar 

  2. Yang, X.-S.: Firefly Algorithms for Multimodal Optimization. In: Watanabe, O., Zeugmann, T. (eds.) SAGA 2009. LNCS, vol. 5792, pp. 169–178. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Zitzler, E., Thiele, L.: Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol. 1498, pp. 292–304. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Beams Department, European Organization for Nuclear Research, CERN, Geneva, Switzerland

    María Arsuaga-Ríos

  2. Dept. Technologies of Computers and Communications, Escuela Politecnica, ARCO Research Group, University of Extremadura, Cáceres, Spain

    Miguel A. Vega-Rodríguez

Authors
  1. María Arsuaga-Ríos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Miguel A. Vega-Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. IRIDIA, Université Libre de Bruxelles, CoDE, Av. F. Roosevelt 50, CP 194/6, 1050, Brussels, Belgium

    Marco Dorigo , Mauro Birattari  & Thomas Stützle ,  & 

  2. ALBCOM, Department Llenguatges i Sistemes Informatics, Universitat Politecnica de Catalunya, Jordi Girona 1-3, Omega 112 Campus Nord, 08034, Barcelona, Spain

    Christian Blum

  3. Instituto de Telecomunicações & Instituto Universitário de Lisboa (ISCTE-IUL), Av. das Foras Armadas, 1649-026, Lisboa, Portugal

    Anders Lyhne Christensen

  4. Department of Computer Science, University of Pretoria, 0002, Pretoria, South Africa

    Andries P. Engelbrecht

  5. Department of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Roderich Groß

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Arsuaga-Ríos, M., Vega-Rodríguez, M.A. (2012). Multi-objective Firefly Algorithm for Energy Optimization in Grid Environments. In: Dorigo, M., et al. Swarm Intelligence. ANTS 2012. Lecture Notes in Computer Science, vol 7461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32650-9_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32650-9_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32649-3

  • Online ISBN: 978-3-642-32650-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation