Cloud computing is a new and innovative perspective for large scale parallel and distributed computing. The dependence of user or load on the cloud is growing enormously with the enlargement of new applications. Load balancing is a significant area of cloud computing environment which ensures that all connected devices or processors carry out same amount of work in equal time. With an aim to make cloud resources and services accessible to the cloud user easily and conveniently, different algorithms and models for load balancing in cloud computing is being developed. There are so many algorithms are available for proper load balancing but in this paper particle swarm based algorithm is focused that can balance the load in cloud computing so that resources are easily available for users. This paper aims to develop an efficient load balancing algorithm using particle swarm based to minimize performance parameters like make span, latency, total execution time.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Study on Particle Swarm based Load Balancing Algorithms in Cloud Computing


    Beteiligte:
    Yadav, Rachna (Autor:in) / Namdev, Mayank (Autor:in)

    Erscheinungsdatum :

    12.02.2018


    Anmerkungen:

    doi:10.24113/ojssports.v5i1.99
    SMART MOVES JOURNAL IJOSTHE; Vol. 5 No. 1 (2018): Volume 5 Issue 1 February 2018; 5 ; 2349-0772



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629




    A Proposed Load Balancing Algorithm Over Cloud Computing (Balanced Throttled)

    Shereen Yousef Mohamed / Mohamed Hamed N. Taha, / Hesham N. Elmahdy et al. | BASE | 2021

    Freier Zugriff

    Clustered swarm: a live swarm-based traffic load balancing algorithm against traffic jams

    Stolcis, Christian / Pfannerstill, Elmar | IET | 2017

    Freier Zugriff


    Clustered swarm : a live swarm‐based traffic load balancing algorithm against traffic jams

    Stolcis, Christian / Pfannerstill, Elmar | Wiley | 2017

    Freier Zugriff