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CLUSTER
2002
IEEE
13 years 6 months ago
PHOENIX: A Self Adaptable Monitoring Platform for Cluster Management
Distributed systems based on cluster of workstation are more and more difficult to manage due to the increasing number of processors involved, and the complexity of associated appl...
Céline Boutrous-Saab, Xavier Bonnaire, Bert...
PDPTA
2000
13 years 7 months ago
Performance Monitoring on an HPVM Cluster
Clusters of workstations are becoming popular platforms for parallel computing, but performance on these systems is more complex and harder to predict than on traditional parallel...
Geetanjali Sampemane, Scott Pakin, Andrew A. Chien
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 7 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
IPPS
2005
IEEE
13 years 12 months ago
Monitoring and Debugging Parallel Software with BCS-MPI on Large-Scale Clusters
Buffered CoScheduled (BCS) MPI is a novel implementation of MPI based on global synchronization of all system activities. BCS-MPI imposes a model where all processes and their com...
Juan Fernández, Fabrizio Petrini, Eitan Fra...
USENIX
2000
13 years 7 months ago
Dynamic Function Placement for Data-Intensive Cluster Computing
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...