Abstract
In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[11] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Advanced Communication Technology, ICACT |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 305-314 |
| Number of pages | 10 |
| ISBN (Print) | 9788996865032 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - PyeongChang Duration: 2014 Feb 16 → 2014 Feb 19 |
Other
| Other | 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 |
|---|---|
| City | PyeongChang |
| Period | 14/2/16 → 14/2/19 |
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Keywords
- Distributed Systems
- Multicore
- Parallel Computing
- Task Clustering
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Effective use of computational resources in multicore distributed systems. / Kanemitsu, Hidehiro; Hanada, Masaki; Hoshiai, Takashige; Nakazato, Hidenori.
International Conference on Advanced Communication Technology, ICACT. Institute of Electrical and Electronics Engineers Inc., 2014. p. 305-314 6779187.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Effective use of computational resources in multicore distributed systems
AU - Kanemitsu, Hidehiro
AU - Hanada, Masaki
AU - Hoshiai, Takashige
AU - Nakazato, Hidenori
PY - 2014
Y1 - 2014
N2 - In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[11] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.
AB - In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the 'best' combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. The method adopts a remapping technology after processor-execution unit mapping[11] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.
KW - Distributed Systems
KW - Multicore
KW - Parallel Computing
KW - Task Clustering
UR - http://www.scopus.com/inward/record.url?scp=84899022588&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899022588&partnerID=8YFLogxK
U2 - 10.1109/ICACT.2014.6779187
DO - 10.1109/ICACT.2014.6779187
M3 - Conference contribution
SN - 9788996865032
SP - 305
EP - 314
BT - International Conference on Advanced Communication Technology, ICACT
PB - Institute of Electrical and Electronics Engineers Inc.
ER -