Paper Info
Title
Job Mapping And Scheduling On Free-Space Optical Networks
Abstract
A number of parallel applications run on a high-performance computing (HPC) system simultaneously. Job mapping and scheduling become crucial to improve system utilization, because fragmentation prevents an incoming job from being assigned even if there are enough compute nodes unused. Wireless supercomputers and datacenters with free-space optical (FSO) terminals have been proposed to replace the conventional wired interconnection so that a diverse application workload can be better supported by changing their network topologies. In this study we firstly present an efficient job mapping by swapping the endpoints of FSO links in a wireless HPC system. Our evaluation shows that an FSO-equipped wireless HPC system can achieve shorter average queuing length and queuing time for all the dispatched user jobs. Secondly, we consider the use of a more complicated and enhanced scheduling algorithm, which can further improve the system utilization over different host networks, as well as the average response time for all the dispatched user jobs. Finally, we present the performance advantages of the proposed wireless HPC system under more practical assumptions such as different cabinet capacities and diverse subtopology packings.
Year
DOI
Venue
2016
10.1587/transinf.2016EDP7193
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
job mapping, interconnection networks, free-space optics, high-performance computing
Supercomputer,Scheduling (computing),Computer science,Free space,Free-space optical communication,Distributed computing
Journal
Volume
Issue
ISSN
E99D
11
1745-1361
Citations 
PageRank 
References 
0
0.34
17
Authors
3
Name
Order
Citations
PageRank
Yao Hu14317.26
Ikki Fujiwara212716.00
Michihiro Koibuchi372674.68