Abstract

Currently, optical networks have been employed to meet the ever-increasing data transfer demands of distributed scientific applications. In order to provide better performance and achieve higher resource utilization, a new networking solution and resource scheduling scheme are needed. In this article we develop an experimental network called Terabits Optical Network Integrated Computing Environment and design a joint resources scheduling system for resource management, task scheduling, and application execution. Two resource scheduling schemes, overlay scheduling and integrated scheduling, are proposed and studied. Live demonstrations and performance evaluations are conducted on the TONICE experimental network. The experimental result shows the feasibility of JRSS for real deployment. In addition, the integrated resource scheduling scheme not only reduces the execution time, but also improves the resource efficiency for distributed scientific applications.

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