Resource scheduling in large-scale, volatile desktop grids is challenging because resource state is both dynamic and eclectic. Matching available resources with requests is not al...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
The size, complexity, heterogeneity, and dynamism of largescale computational grids make autonomic grid services and solutions necessary. In particular, grid schedulers must map a...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
To address coordination and complexity issues, we formulate a grid task allocation problem as a bargaining based self-adaptive auction and propose the BarSAA grid task-bundle alloc...
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...