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Adaptive run-time performance optimization through scalable client request rate control
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Adaptive run-time performance optimization through scalable client request rate control   (Citations: 1)
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Today's Internet-scale computing systems often run at a low average load with only occasional peak performance demands. Consequently, computing resources are often overdimensioned, leading to high costs. While load control techniques between clients and servers can help to better utilize a given system, these techniques can place a significant communication and computation load on servers. To improve on these issues, we contribute with scalable techniques for client-request rate control, achieved through integration of (i) a scalable distributed feedback channel to transmit control information from the server to the clients with (ii) decoupling strategies that allow to constrain and filter client requests directly at the client, illustrated in the area of first-price sealed-bid online auctions, and (iii) a PID (Proportional-Integral-Derivative) controller that adaptively controls the input parameters of those decoupling strategies to facilitate an optimal server utilization. In contrast to related work, we can hence optimize server load directly at the source through rate control of the clients. Our evaluations show that this setup supports large sets of clients before the controller becomes unstable.
Published in 2011.
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    • ...The core idea of our approach is to mitigate performance issues (high peak loads) and dependability problems (fault tolerance of the auctioneer’s infrastructure as well as the network infrastructure between client and auctioneer) by shifting them into the security domain and by subsequently solving the new security challenges [26]...
    • ...Finally, the client side GWT application submits bids to the server according to the implemented bid submission strategy [26]...
    • ...Therefore, we invented and evaluated more sophisticated bid submission strategies [26] in order to better utilize the server infrastructure...
    • ...– An alternate solution would be to use the distributed feedback channel as detailed in [26]...

    Lorenz Froihofer, et al. Experience Report: Trading Dependability, Performance, and Security th...

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