Paper Info
Title
New challenges of parallel job scheduling
Abstract
The workshop on job scheduling strategies for parallel processing (JSSPP) studies the myriad aspects of managing resources on parallel and distributed computers. These studies typically focus on large-scale computing environments, where allocation and management of computing resources present numerous challenges. Traditionally, such systems consisted of massively parallel supercomputers, or more recently, large clusters of commodity processor nodes. These systems are characterized by architectures that are largely homogeneous and workloads that are dominated by both computation and communication-intensive applications. Indeed, the large majority of the articles in the first ten JSSPP workshops dealt with such systems and addressed issues such as queuing systems and supercomputer workloads. In this paper, we discuss some of the recent developments in parallel computing technologies that depart from this traditional domain of problems. In particular, we identify several recent and influential technologies that could have a significant impact on the future of research on parallel scheduling. We discuss some of the more specific research challenges that these technologies introduce to the JSSPP community, and propose to enhance the scope of future JSSPP workshops to include these topics.
Year
DOI
Venue
2007
10.1007/978-3-540-78699-3_1
JSSPP
Keywords
Field
DocType
parallel scheduling,large-scale computing environment,large cluster,future jsspp workshop,parallel supercomputers,parallel computing technology,parallel processing,new challenge,job scheduling strategy,large majority,parallel job scheduling,jsspp community,job scheduling,parallel computer,queuing system
Data-intensive computing,Supercomputer,Massively parallel,Computer science,Service-level agreement,Queueing theory,Job scheduler,Resource Provider,Distributed computing,Computation
Conference
Volume
ISSN
ISBN
4942
0302-9743
3-540-78698-8
Citations 
PageRank 
References 
17
0.95
42
Authors
2
Name
Order
Citations
PageRank
Eitan Frachtenberg1106085.08
Uwe Schwiegelshohn21457120.70