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Abstract: Unexpected increases in demand and most of all flash crowds are consideredthe bane of every web application as they may cause intolerable delays or evenservice unavailability. Proper quality of service policies must guarantee rapidreactivity and responsiveness even in such critical situations. Previoussolutions fail to meet common performance requirements when the system has toface sudden and unpredictable surges of traffic. Indeed they often rely on aproper setting of key parameters which requires laborious manual tuning,preventing a fast adaptation of the control policies. We contribute an originalSelf-* Overload Control SOC policy. This allows the system to self-configurea dynamic constraint on the rate of admitted sessions in order to respectservice level agreements and maximize the resource utilization at the sametime. Our policy does not require any prior information on the incoming trafficor manual configuration of key parameters. We ran extensive simulations under awide range of operating conditions, showing that SOC rapidly adapts to timevarying traffic and self-optimizes the resource utilization. It admits as manynew sessions as possible in observance of the agreements, even under intenseworkload variations. We compared our algorithm to previously proposedapproaches highlighting a more stable behavior and a better performance.



Author: Novella Bartolini, Giancarlo Bongiovanni, Simone Silvestri Department of Computer Science University of Rome Sapienza, Italy

Source: https://arxiv.org/







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