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    Load balancing vs. distributed rate limiting: an unifying framework for cloud control

    Stanojević, Rade and Shorten, Robert N. (2009) Load balancing vs. distributed rate limiting: an unifying framework for cloud control. Communications, 2009. ICC '09. IEEE International Conference on . pp. 1-6. ISSN 1938-1883

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    With the expansion of cloud-based services, the question as to how to control usage of such large distributed systems has become increasingly important. Load balancing (LB), and recently proposed distributed rate limiting (DRL) have been used independently to reduce costs and to fairly allocate distributed resources. In this paper we propose a new mechanism for cloud control that unifies the use of LB and DRL: LB is used to minimize the associated costs and DRL makes sure that the resource allocation is fair. From an analytical standpoint, modelling the dynamics of DRL in dynamic workloads (resulting from LB cost-minimization scheme) is a challenging problem. Our theoretical analysis yields a condition that ensures convergence to the desired working regime. Analytical results are then validated empirically through several illustrative simulations. The closed- form nature of our result also allows simple design rules which, together with extremely low computational and communication overhead, makes the presented algorithm practical and easy to deploy.

    Item Type: Article
    Keywords: Rate limiting; Load balancing; CDN; Cloud control;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 2044
    Identification Number:
    Depositing User: Dr. Robert Shorten
    Date Deposited: 13 Jul 2010 14:41
    Journal or Publication Title: Communications, 2009. ICC '09. IEEE International Conference on
    Publisher: IEEE
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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