SCHEDULE: NOV 12-18, 2011

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TRACON: Interference-Aware Scheduling for Data-Intensive Applications in Virtualized Environments

SESSION: Scheduling and Resource Allocation

EVENT TYPE: Paper, Best Student Paper (BSP) Finalist

TIME: 1:30PM - 2:00PM

AUTHOR(S):Ron C. Chiang, H. Howie Huang

ROOM:TCC 305

ABSTRACT:
Large-scale data centers leverage virtualization technology to achieve excellent resource utilization and scalability, as well as high availability and reliability. Ideally, the performance of an application running inside a virtual machine (VM) shall be independent of co-located applications and VMs that share the physical machine. However, adverse interference effects exist and are especially severe for data-intensive applications in such virtualized environments. In this work, we present TRACON, a novel Task and Resource Allocation CONtrol framework that mitigates the interference effects from concurrent data-intensive applications and greatly improves the overall system performance. We simulate TRACON with a wide variety of data-intensive applications including bioinformatics, data mining, video processing, email and web servers, etc. The evaluation results show that TRACON can achieve up to 50% improvement on application runtime, up to 80% on I/O throughput, and more than 30% of energy savings for virtualized data centers.

Chair/Author Details:

Ron C. Chiang - George Washington University

H. Howie Huang - George Washingtion University

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The full paper can be found in the ACM Digital Library