Dynamic Load Balancing on Web-Server Systems
IEEE Internet Computing
High-Performance Web Site Design Techniques
IEEE Internet Computing
Scalable Web server clustering technologies
IEEE Network: The Magazine of Global Internetworking
A comparison of load balancing techniques for scalable Web servers
IEEE Network: The Magazine of Global Internetworking
An adaptive admission control policy for geographically distributed web systems
Proceedings of the 2nd international conference on Scalable information systems
Journal of Network and Computer Applications
Self-* through self-learning: Overload control for distributed web systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
I-RMI: performance isolation in information flow applications
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Isolation points: Creating performance-robust enterprise systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Data analysis, visualization and knowledge discovery in sustainable data centers
Proceedings of the 2nd Bangalore Annual Compute Conference
New network management scheme with client’s communication control
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
I-RMI: performance isolation in information flow applications
Middleware'05 Proceedings of the ACM/IFIP/USENIX 6th international conference on Middleware
Adaptive admission control algorithm in a QoS-aware Web system
Information Sciences: an International Journal
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This paper describes an overload control scheme for web servers which integrates admission control and load balancing. The admission control mechanism adaptively determines the client request acceptance rate to meet the web servers' performance requirements while the load balancing or client request distribution mechanism determines the fraction of requests to be assigned to each web server. The scheme requires no prior knowledge of the relative speeds of the web servers, nor the work required to process each incoming request.