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    Distributed resource management across process boundaries

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    Type
    Conference Paper
    Authors
    Suresh, Lalith
    Bodik, Peter
    Menache, Ishai
    Canini, Marco cc
    Ciucu, Florin
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Date
    2017-09-27
    Online Publication Date
    2017-09-27
    Print Publication Date
    2017
    Permanent link to this record
    http://hdl.handle.net/10754/625905
    
    Metadata
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    Abstract
    Multi-tenant distributed systems composed of small services, such as Service-oriented Architectures (SOAs) and Micro-services, raise new challenges in attaining high performance and efficient resource utilization. In these systems, a request execution spans tens to thousands of processes, and the execution paths and resource demands on different services are generally not known when a request first enters the system. In this paper, we highlight the fundamental challenges of regulating load and scheduling in SOAs while meeting end-to-end performance objectives on metrics of concern to both tenants and operators. We design Wisp, a framework for building SOAs that transparently adapts rate limiters and request schedulers system-wide according to operator policies to satisfy end-to-end goals while responding to changing system conditions. In evaluations against production as well as synthetic workloads, Wisp successfully enforces a range of end-to-end performance objectives, such as reducing average latencies, meeting deadlines, providing fairness and isolation, and avoiding system overload.
    Citation
    Suresh L, Bodik P, Menache I, Canini M, Ciucu F (2017) Distributed resource management across process boundaries. Proceedings of the 2017 Symposium on Cloud Computing - SoCC ’17. Available: http://dx.doi.org/10.1145/3127479.3132020.
    Sponsors
    We thank our shepherd, Iqbal Mohomed, and the anonymous reviewers for their feedback. We thank Madan Musuvathi, Srikanth Kandula, and Virajith Jalaparti for the useful discussions that helped shape this paper.
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    Proceedings of the 2017 Symposium on Cloud Computing - SoCC '17
    DOI
    10.1145/3127479.3132020
    Additional Links
    https://dl.acm.org/citation.cfm?doid=3127479.3132020
    ae974a485f413a2113503eed53cd6c53
    10.1145/3127479.3132020
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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