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» Multiple Resources and Mental Workload
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IPPS
2002
IEEE
14 years 12 days ago
Enforcing Resource Sharing Agreements among Distributed Server Clusters
Future scalable, high throughput, and high performance applications are likely to execute on platforms constructed by clustering multiple autonomous distributed servers, with reso...
Tao Zhao, Vijay Karamcheti
IPPS
2007
IEEE
14 years 1 months ago
United-FS: A Logical File System Providing a Single Image of Multiple Physical File Systems on NFS Server
NFS is considered to be the bottleneck in cluster computing environment because of its limited resources and centralized data management. With the development of hardware, NFS ser...
Huan Chen, Yi Zhao, Jin Xiong, Jie Ma, Ninghui Sun
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
13 years 5 months ago
Performance-driven task co-scheduling for MapReduce environments
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...
INFOCOM
2012
IEEE
11 years 10 months ago
Quality-assured cloud bandwidth auto-scaling for video-on-demand applications
—There has been a recent trend that video-on-demand (VoD) providers such as Netflix are leveraging resources from cloud services for multimedia streaming. In this paper, we cons...
Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao
ANCS
2008
ACM
13 years 9 months ago
On runtime management in multi-core packet processing systems
Computer networks require increasingly complex packet processing in the data path to adapt to new functionality requirements. To meet performance demands, packet processing system...
Qiang Wu, Tilman Wolf