TY - JOUR
KW - fault-tolerant
KW - grid resource discovery
KW - hypercube
KW - self-configuring protocol
KW - static resilience
AU - Antonia Gallardo
AU - Luis de Cerio
AU - Kana Sanjeevan
AB - Grid Resource Discovery Service is a fundamental problem that has been the focus of research in the recent past. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery able to handle dynamic attributes such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system, even in the presence of non-alive nodes (inaccessible, crashed or nodes loaded by heavy traffic). We analyze the static resilience of the approach presented, which is the measure of how well the algorithm can discover resources without having to update the routing tables. The results show that the presented approach has significantly high static resilience.
BT - Journal of Computing and Information Technology
DA - December
DO - doi:10.2498
M1 - 4
N2 - Grid Resource Discovery Service is a fundamental problem that has been the focus of research in the recent past. We propose a scheme that presents essential characteristics for efficient, self-configuring and fault-tolerant resource discovery able to handle dynamic attributes such as memory capacity. Our approach consists of an overlay network with a hypercube topology connecting the grid nodes and a scalable, fault-tolerant, self-configuring search algorithm. By design, the algorithm improves the probability of reaching all working nodes in the system, even in the presence of non-alive nodes (inaccessible, crashed or nodes loaded by heavy traffic). We analyze the static resilience of the approach presented, which is the measure of how well the algorithm can discover resources without having to update the routing tables. The results show that the presented approach has significantly high static resilience.
PY - 2008
EP - 333–338
T2 - Journal of Computing and Information Technology
TI - HGRID: A Self Configuring Grid Resource Discovery
UR - http://cit.zesoi.fer.hr/browseIssue.php?issue=36
VL - 16
ER -