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» Minimizing churn in distributed systems
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CLUSTER
2002
IEEE
13 years 8 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...
IPPS
2007
IEEE
14 years 3 months ago
An Implementation of Page Allocation Shaping for Energy Efficiency
Main memory in many tera-scale systems requires tens of kilowatts of power. The resulting energy consumption increases system cost and the heat produced reduces reliability. Emerg...
Matthew E. Tolentino, Joseph Turner, Kirk W. Camer...
SIGMOD
2011
ACM
220views Database» more  SIGMOD 2011»
12 years 12 months ago
Zephyr: live migration in shared nothing databases for elastic cloud platforms
Multitenant data infrastructures for large cloud platforms hosting hundreds of thousands of applications face the challenge of serving applications characterized by small data foo...
Aaron J. Elmore, Sudipto Das, Divyakant Agrawal, A...
CLOUD
2010
ACM
14 years 2 months ago
Robust and flexible power-proportional storage
Power-proportional cluster-based storage is an important component of an overall cloud computing infrastructure. With it, substantial subsets of nodes in the storage cluster can b...
Hrishikesh Amur, James Cipar, Varun Gupta, Gregory...
VLDB
2007
ACM
181views Database» more  VLDB 2007»
14 years 9 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...