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2009
ACM
14 years 2 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
ICA3PP
2005
Springer
14 years 26 days ago
A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids
In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring ...
Srikumar Venugopal, Rajkumar Buyya
ICEIS
2000
IEEE
13 years 11 months ago
Architectural Considerations with Distributed Computing
We understand distributed systems as a collection of distributed computation resources that work together as one harmonious system. It is the great achievement of computer network...
Yibing Wang, Robert M. Hyatt, Barrett R. Bryant
CCGRID
2003
IEEE
14 years 19 days ago
Chameleon: A Resource Scheduler in A Data Grid Environment
Grid computing is moving into two ways. The Computational Grid focuses on reducing execution time of applications that require a great number of computer processing cycles. The Da...
Sang-Min Park, Jai-Hoon Kim
AISADM
2005
Springer
14 years 27 days ago
An Architecture for Distributed Agent-Based Data Preprocessing
Advances in agent technologies have fueled interest towards combining agent-based techniques with tools from data mining. Furthermore, the advent of the ubiquitous computing paradi...
Petteri Nurmi, Michael Przybilski, Greger Lind&eac...