Multiple-queue backfilling scheduling with priorities and reservations for parallel systems
ACM SIGMETRICS Performance Evaluation Review
Class-Dependent Assignment in cluster-based servers
Proceedings of the 2004 ACM symposium on Applied computing
Workload-Aware Load Balancing for Clustered Web Servers
IEEE Transactions on Parallel and Distributed Systems
Deferred Assignment Scheduling in Cluster-Based Servers
Cluster Computing
Resource Allocation for Session-Based Two-Dimensional Service Differentiation on e-Commerce Servers
IEEE Transactions on Parallel and Distributed Systems
Task assignment with work-conserving migration
Parallel Computing
Effective load balancing for cluster-based servers employing job preemption
Performance Evaluation
Resource allocation optimization for quantitative service differentiation on server clusters
Journal of Parallel and Distributed Computing
Liana: a decentralized load-dependent scheduler for performance-cost optimization of grid service
The Journal of Supercomputing
Performance Evaluation
Parallel physics-inspired waterflow particle mechanics algorithm for load rebalancing
Computer Networks: The International Journal of Computer and Telecommunications Networking
An up-to-date survey in web load balancing
World Wide Web
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Regression-based resource provisioning for session slowdown guarantee in multi-tier Internet servers
Journal of Parallel and Distributed Computing
An M/M/2 parallel system model with pure space sharing among rigid jobs
Mathematical and Computer Modelling: An International Journal
On load balancing: a mix-aware algorithm for heterogeneous systems
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
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We focus on adaptive policies for load balancing in clustered web servers, based on the size distribution of the requested documents. The proposed scheduling policy, ADAPTLOAD, adapts its balancing parameters on-the-fly, according to changes in the behavior of the customer population such as fluctuations in the intensity of arrivals or document popularity. Detailed performance comparisons via simulation using traces from the 1998 World Cup showthat ADAPTLOAD is robust as it consistently outperforms traditional load balancing policies, especially under conditions of transient overload.