Application specific data replication for edge services
WWW '03 Proceedings of the 12th international conference on World Wide Web
Dynamic cluster reconfiguration for power and performance
Compilers and operating systems for low power
Identification, Modelling and Prediction of Non-periodic Bursts in Workloads
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
SLA-tree: a framework for efficiently supporting SLA-based decisions in cloud computing
Proceedings of the 14th International Conference on Extending Database Technology
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In data centers hosting scaling Internet applications, operators face the tradeoff dilemma between resource efficiency and Quality of Service (QoS), and the root cause lies in workload dynamics. In this paper, we address the problem with the design of Resilient Workload Manager (ROM). As a comprehensive workload management framework, ROM covers workload, data, resource, and Quality of Service of the target applications. Its basic idea lies in explicitly segregating base workload and trespassing workload, the two naturally different components in application workload, and managing them separately in two resource zones with specialized optimization techniques. The ROM prototype was implemented as a layer-7 load balancer for a video streaming service testbed, which consits of a local compute cluster serving as the base load zone and the Amazon EC2 infrastructure as the trespassing zone.