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PDP
2009
IEEE
10 years 11 months ago
Effects of Job and Task Placement on Parallel Scientific Applications Performance
—this paper studies the influence that task placement may have on the performance of applications, mainly due to the relationship between communication locality and overhead. Thi...
Javier Navaridas, Jose Antonio Pascual, José...
CLUSTER
2003
IEEE
10 years 9 months ago
Improving Performance of a Dynamic Load Balancing System by Using Number of Effective Tasks
Efficient resource usage is a key to achieving better performance in cluster systems. Previously, most research in this area has focused on balancing the load of each node to use...
Min Choi, Jung-Lok Yu, Hojoong Kim, Seung Ryoul Ma...
GRID
2007
Springer
10 years 10 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
HPDC
2012
IEEE
8 years 6 months ago
Understanding the effects and implications of compute node related failures in hadoop
Hadoop has become a critical component in today’s cloud environment. Ensuring good performance for Hadoop is paramount for the wide-range of applications built on top of it. In ...
Florin Dinu, T. S. Eugene Ng
ICPADS
2006
IEEE
10 years 10 months ago
The Impact of Information Availability and Workload Characteristics on the Performance of Job Co-allocation in Multi-clusters
In this paper, we utilize a bandwidth-centric job communication model that captures the interaction and impact of simultaneously co-allocating jobs across multiple clusters. We ma...
William M. Jones, Walter B. Ligon III, Nishant Shr...
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