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CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 7 months ago
Accelerating Large-scale Data Exploration through Data Diffusion
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
CLUSTER
2011
IEEE
12 years 7 months ago
A Framework for Data-Intensive Computing with Cloud Bursting
—For many organizations, one attractive use of cloud resources can be through what is referred to as cloud bursting or the hybrid cloud. These refer to scenarios where an organiz...
Tekin Bicer, David Chiu, Gagan Agrawal
IEEEPACT
2006
IEEE
14 years 1 months ago
Architectural support for operating system-driven CMP cache management
The role of the operating system (OS) in managing shared resources such as CPU time, memory, peripherals, and even energy is well motivated and understood [23]. Unfortunately, one...
Nauman Rafique, Won-Taek Lim, Mithuna Thottethodi
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
12 years 11 months ago
Power management of online data-intensive services
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI) services. These workloads ...
David Meisner, Christopher M. Sadler, Luiz Andr&ea...
EUROSYS
2011
ACM
12 years 11 months ago
Scarlett: coping with skewed content popularity in mapreduce clusters
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth ...