User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers

This paper presents a performance analysis of marketbased batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as the basis for system evaluation. Each user is modeled as having a utility function for each job which measures value delivered to the user as function of execution time. Summing over all utility functions in the workload, we use aggregate utility as a measure of overall value delivered to users. With aggregate utility as the performance metric, simulations are used to quantify the performance of both market-based and traditional batch scheduling algorithms under a variety of synthetic workloads. Results show that an auction-based batch scheduling algorithm improves performance by a factor of up to 2-5x for sequential workloads and up to 14x for highly parallel workloads compared to traditional scheduling algorithms.

• Type: Conference
• Year: 2002
• Where: CCGRID
• Authors: Brent N. Chun, David E. Culler
• Keywords: Batch Scheduling Algorithm, CCGRID 2002, Distributed And Parallel Computing, Performance Metric, Utility Functions