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» Statistics-driven workload modeling for the Cloud
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CORR
2010
Springer
168views Education» more  CORR 2010»
14 years 4 months ago
In Cloud, Can Scientific Communities Benefit from the Economies of Scale?
The basic idea behind cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to the success of cloud c...
Lei Wang, Jianfeng Zhan, Weisong Shi, Yi Liang
70
Voted
ICDE
2010
IEEE
195views Database» more  ICDE 2010»
14 years 10 months ago
Statistics-driven workload modeling for the Cloud
— A recent trend for data-intensive computations is to use pay-as-you-go execution environments that scale transparently to the user. However, providers of such environments must...
Archana Ganapathi, Yanpei Chen, Armando Fox, Randy...
72
Voted
IPPS
2010
IEEE
14 years 7 months ago
Resource management of enterprise cloud systems using layered queuing and historical performance models
The automatic allocation of enterprise workload to resources can be enhanced by being able to make `whatif' response time predictions, whilst different allocations are being c...
David A. Bacigalupo, Jano van Hemert, Asif Usmani,...
AINA
2010
IEEE
15 years 2 months ago
CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications
—Advances in Cloud computing enable new possibilities to Internet applications developers. Previously, the main concern of Internet applications developers was deployment and hos...
Bhathiya Wickremasinghe, Rodrigo N. Calheiros, Raj...
CLOUD
2010
ACM
15 years 2 months ago
Characterizing, modeling, and generating workload spikes for stateful services
Evaluating the resiliency of stateful Internet services to significant workload spikes and data hotspots requires realistic workload traces that are usually very difficult to obt...
Peter Bodík, Armando Fox, Michael J. Frankl...