Provided by: International Journal of Computer Science and Network Solutions (IJCSNS)
Topic: Data Management
Date Added: Nov 2013
Adaptive space-sharing algorithms are commonly used to realize the fullest strengths of dedicated homogeneous cluster computing systems since they produce better performance than fixed and variable-space sharing policies. However cluster of computers tend to be heterogeneous over the time because of both nature of incremental growth and diversity of technological change. Community-owned clusters are not only heterogeneous but are also non-dedicated i.e. computational resources are shared between local and parallel workload. The existing adaptive policies for dedicated cluster systems are not suitable for such conditions.