SCHEDULE: NOV 16-22, 2013

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Cost-Effective Cloud HPC Resource Provisioning by Building Semi-Elastic Virtual Clusters

SESSION: Cloud Resource Management and Scheduling

EVENT TYPE: Papers

TIME: 2:00PM - 2:30PM

SESSION CHAIR: Kate Keahey

AUTHOR(S):Shuangcheng Niu, Jidong Zhai, Xiaosong Ma, Xiongchao Tang, Wenguang Chen

ROOM:205/207

ABSTRACT:
Recent studies have found cloud environments increasingly appealing for executing HPC applications, including tightly coupled parallel simulations. While public clouds offer elastic, on-demand resource provisioning and pay-as-you-go pricing, individual users setting up their on-demand virtual clusters may not be able to take full advantage of common cost-saving opportunities, such as reserved instances. In this paper, we propose a Semi-Elastic Cluster (SEC) computing model for organizations to reserve and dynamically resize a virtual cloud-based cluster. We present a set of integrated batch scheduling plus resource scaling strategies uniquely enabled by SEC, as well as an online reserved instance provisioning algorithm based on job history. Our trace-driven simulation results show that such a model has a 61.0% cost saving than individual users acquiring and managing cloud resources without causing longer average job wait time. Meanwhile, the overhead of acquiring/maintaining shared cloud instances is shown to take only a few seconds.

Chair/Author Details:

Kate Keahey (Chair) - Argonne National Laboratory

Shuangcheng Niu - Tsinghua University

Jidong Zhai - Tsinghua University

Xiaosong Ma - North Carolina State University

Xiongchao Tang - Tsinghua University

Wenguang Chen - Tsinghua University

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The full paper can be found in the ACM Digital Library