TY - JOUR
T1 - Policy-based distributed resource monitoring technology
AU - Wang, Jihui
AU - Zhou, Xingshe
AU - Shi, Xiaoan
PY - 2006/1/5
Y1 - 2006/1/5
N2 - In distributed computing environment, resource monitoring is important to task allocation, load balancing and fault tolerance. Policy-base resource monitoring is presented, in strategy, it includes two resource monitoring model, PULL and PUSH. By the experimentation analysis in computing-domain-based distributed adaptive resource management system, it is indicated that PULL model resource monitoring is easy to program, and easy to get cost time monitored on all computing nodes in a computing-domain. On the other hand, PUSH model has more exact monitoring period.
AB - In distributed computing environment, resource monitoring is important to task allocation, load balancing and fault tolerance. Policy-base resource monitoring is presented, in strategy, it includes two resource monitoring model, PULL and PUSH. By the experimentation analysis in computing-domain-based distributed adaptive resource management system, it is indicated that PULL model resource monitoring is easy to program, and easy to get cost time monitored on all computing nodes in a computing-domain. On the other hand, PUSH model has more exact monitoring period.
KW - Adaptive reliable distributed real-time resource management (ARDRM)
KW - Computing domain
KW - Resource monitoring
UR - http://www.scopus.com/inward/record.url?scp=32844467504&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:32844467504
SN - 1000-3428
VL - 32
SP - 34-36+92
JO - Jisuanji Gongcheng/Computer Engineering
JF - Jisuanji Gongcheng/Computer Engineering
IS - 1
ER -