Grid computing provides a robust paradigm to aggregate disparate resources in a secure and controlled environment. Grid architectures require an underpinning Quality of Service (Qo...
Rashid J. Al-Ali, Kaizar Amin, Gregor von Laszewsk...
Many areas of science currently use computing resources as a important part of their research, and many research groups adopt cluster architecture to use them efficiently and mana...
Hyuck Han, Jai Wug Kim, Jongpil Lee, Youngjin Yu, ...
Large-scale applications require the efficient exchange of data across their distributed components, including data from heterogeneous sources and to widely varying clients. Inher...
Today's complex applications must face the distribution of data and code among different network nodes. Computation in distributed contexts is demanding increasingly powerful...
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...