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CCGRID
2005
IEEE
14 years 13 days ago
User group-based workload analysis and modelling
Knowledge about the workload is an important aspect for scheduling of resources as parallel computers or Grid components. As the scheduling quality highly depends on the character...
Baiyi Song, Carsten Ernemann, Ramin Yahyapour
IPPS
2006
IEEE
14 years 26 days ago
Instability in parallel job scheduling simulation: the role of workload flurries
The performance of computer systems depends, among other things, on the workload. This motivates the use of real workloads (as recorded in activity logs) to drive simulations of n...
Dan Tsafrir, Dror G. Feitelson
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
13 years 10 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
WWW
2008
ACM
14 years 7 months ago
Understanding internet video sharing site workload: a view from data center design
In this paper we measured and analyzed the workload on Yahoo! Video, the 2nd largest U.S. video sharing site, to understand its nature and the impact on online video data center d...
Xiaozhu Kang, Hui Zhang 0002, Guofei Jiang, Haifen...
ISCA
2012
IEEE
244views Hardware» more  ISCA 2012»
11 years 9 months ago
Scheduling heterogeneous multi-cores through performance impact estimation (PIE)
Single-ISA heterogeneous multi-core processors are typically composed of small (e.g., in-order) power-efficient cores and big (e.g., out-of-order) high-performance cores. The eff...
Kenzo Van Craeynest, Aamer Jaleel, Lieven Eeckhout...