Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
The POPCORN market.: online markets for computational resources
Decision Support Systems - Special issue on information and computational economics
Tabu Search
REXEC: A Decentralized, Secure Remote Execution Environment for Clusters
CANPC '00 Proceedings of the 4th International Workshop on Network-Based Parallel Computing: Communication, Architecture, and Applications
A Microeconomic Scheduler for Parallel Computers
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Libra: a computational economy-based job scheduling system for clusters
Software—Practice & Experience
Markets are dead, long live markets
ACM SIGecom Exchanges
Tycoon: An implementation of a distributed, market-based resource allocation system
Multiagent and Grid Systems
Mirage: a microeconomic resource allocation system for sensornet testbeds
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Proactive fault tolerance for HPC with Xen virtualization
Proceedings of the 21st annual international conference on Supercomputing
Pricing for Utility-Driven Resource Management and Allocation in Clusters
International Journal of High Performance Computing Applications
Dynamic proportional share scheduling in Hadoop
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Themis: Economy-based Automatic Resource Scaling for Cloud Systems
HPCC '12 Proceedings of the 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems
ConPaaS: A Platform for Hosting Elastic Cloud Applications
IEEE Internet Computing
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Virtualization provides increased control and flexibility on how resources are allocated to applications. However, common resource provisioning mechanisms do not fully use these advantages; either they provide limited support for applications demanding quality of service, or the resource allocation complexity is high. To address these issues we developed Themis, a market-based application management platform. By limiting the coupling between the applications and resource management, Themis can support diverse types of applications and performance goals while ensuring maximized resource usage. In this paper we present the performance of Themis when users execute batch applications with different Service Level Objectives such as deadlines.