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IPPS
2006
IEEE
13 years 11 months ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan
SIGMETRICS
2008
ACM
101views Hardware» more  SIGMETRICS 2008»
13 years 5 months ago
How to parameterize models with bursty workloads
Although recent advances in theory indicate that burstiness in the service time process can be handled effectively by queueing models (e.g., MAP queueing networks [2]), there is a...
Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, ...
SIGCOMM
2010
ACM
13 years 5 months ago
Topology-aware resource allocation for data-intensive workloads
This paper proposes an architecture for optimized resource allocation in Infrastructure-as-a-Service (IaaS)-based cloud systems. Current IaaS systems are usually unaware of the ho...
Gunho Lee, Niraj Tolia, Parthasarathy Ranganathan,...
IPPS
2007
IEEE
13 years 11 months ago
Prediction Services for Distributed Computing
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
Warren Smith
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
14 years 7 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...