TY - GEN
T1 - Meeting virtual organization performance goals through adaptive Grid reconfiguration
AU - Hill, Zach
AU - Rowanhill, Jonathan
AU - Nguyen-Tuong, Anh
AU - Wasson, Glenn
AU - Knight, John
AU - Basney, Jim
AU - Humphrey, Marty
PY - 2007
Y1 - 2007
N2 - In order for Grids to become relied upon for critical infrastructure and scientific computing, Grid-wide management must be automated so that it is possible in quickly and comprehensively respond to or anticipate specific environmental changes and requirements. That is, due to the disjoint administration of Grids which results in high communication requirements as well as large numbers of skilled administrators, manual reconfiguration of large portions of a Grid in such situations is not a viable solution. We have developed an architecture that allows changes to the grid configuration to be automated in response to operator input or sensors placed throughout the Grid. Additionally, our architecture allows the resource owner to specify who is allowed to alter the configuration of his resource and what types of reconfigurations are allowed. This permits the automation of reconfiguration while retaining owner control of the individual resources. Our experiments show that this architecture can be used to reconfigure a representative GT4-based development grid to enforce maximum latency limits on a Virtual Organization's jobs by dynamically controlling job priorities Grid-wide.
AB - In order for Grids to become relied upon for critical infrastructure and scientific computing, Grid-wide management must be automated so that it is possible in quickly and comprehensively respond to or anticipate specific environmental changes and requirements. That is, due to the disjoint administration of Grids which results in high communication requirements as well as large numbers of skilled administrators, manual reconfiguration of large portions of a Grid in such situations is not a viable solution. We have developed an architecture that allows changes to the grid configuration to be automated in response to operator input or sensors placed throughout the Grid. Additionally, our architecture allows the resource owner to specify who is allowed to alter the configuration of his resource and what types of reconfigurations are allowed. This permits the automation of reconfiguration while retaining owner control of the individual resources. Our experiments show that this architecture can be used to reconfigure a representative GT4-based development grid to enforce maximum latency limits on a Virtual Organization's jobs by dynamically controlling job priorities Grid-wide.
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U2 - 10.1109/GRID.2007.4354131
DO - 10.1109/GRID.2007.4354131
M3 - Conference contribution
AN - SCOPUS:47249136917
SN - 1424415608
SN - 9781424415601
T3 - Proceedings - IEEE/ACM International Workshop on Grid Computing
SP - 177
EP - 184
BT - Proceedings - 8th IEEE/ACM International Conference on Grid Computing, GRID 2007
T2 - 8th IEEE/ACM International Conference on Grid Computing, GRID 2007
Y2 - 19 September 2007 through 21 September 2007
ER -