Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach

By Tarek F. Abdelzaher, Kang G. Shin, N. Bhatti. IEEE Trans. Parallel Distributed Syst., 2002

636 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/7a4dc5582e0276c7f2afe779ac4a56e25f668b45

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Citations in the corpus

Q-clouds: managing performance interference effects for QoS-aware clouds (2010, background): “For example, controllers targeted for the specific case of web server applications have been developed [1].”
Dynamic Placement of Virtual Machines for Managing SLA Violations (2007, methodology): “In [1] control theory is applied to design a system for performance control of web server.”
Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services (2008, methodology): “in [1] employed a ProportionalIntegration (PI) controller for an Apache Web server to control the assigned processes (or threads) and to meet soft realtime latency requirements.”
Managing energy and server resources in hosting centers (2001, methodology): “One aspect we have not investigated in the server context is the role of application-specific adaptation to resource constraints [31, 17, 30, 2].”
Automated control of multiple virtualized resources (2009, background): “Examples of its application include web server performance guarantees [1], dynamic adjustment of the cache size for multiple request classes [19], CPU and memory utilization control in web servers [9], adjustment of resource demands of virtual machines based on resource availability [28], and dynami”
Cyber–Physical Systems: A Perspective at the Centennial (2012, background): “resource reservation for real-time applications, in [160]– [162] on a control theoretical approach to performance and throughput management of computing systems, in [163] on real-time scheduling algorithms for power management in Kim and Kumar: Cyber–Physical Systems: A Perspective at the Centennial”
Managing server energy and operational costs in hosting centers (2005, background): “[3, 18, 26]) are being examined to handle these situations.”
Adaptive control of virtualized resources in utility computing environments (2007, neutral): “The application areas include web server performance guaranteees[1], dynamic adjustment of the cache size for multiple request classes [22], guaranteed relative delays in web servers by connection scheduling [21], CPU and memory utilization control in web servers [9], and to adjust the resource dema”
Real Time Scheduling Theory: A Historical Perspective (2004, background): “The top layer allocates a separate partition of the server resource to each traffic class together with its own FIFO queue as done, for example, in [173, 4, 129, 143].”
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control (2004, neutral): “Recent work has explored the uses of such models in automated performance control (e.g., [3, 1 , 15]).”