By Zoran Constantinescu
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Extra info for Advances in Grid Computing
2. A brief history of the resource management in grid Due to the grid computing is a dynamic and uncertainly environment, the grid system needs a resource management mechanism which provides a set of available appropriate resources for requesters. There are many resource management approaches that proposed in different grid projects and researches, but a few of them guarantee QoS. This section provides a brief description of these systems and compares some of them with our project. Foster et al.
The criteria are referred to as Quality of Service (QoS) attributes in grid computing context. QoS in general are non-functional characters describing a process. QoS attributes are divided into two main groups, namely objective QoS and subjective QoS. Objective QoS attributes are used to specify performance parameters including timeliness, precision, accuracy, security requirements and availability. Subjective QoS attributes, on the other hand, capture application speciﬁc policies that govern how an application is treated by the resource manager.
A ﬂexible multi-dimensional qos performance measure framework for distributed heterogeneous systems, Cluster Computing 9(3): 281–296. Li, C. & Li, L. (2007). Utility-based qos optimisation strategy for multi-criteria scheduling on the grid, J. Parallel Distrib. Comput. 67(2): 142–153. , Zhao, D. & Li, J. (2007). Scheduling algorithm based on integrated utility of multiple qos attributes on service grid, GCC ’07: Proceedings of the Sixth International Conference on Grid and Cooperative Computing, IEEE Computer Society, Washington, DC, USA, pp.
Advances in Grid Computing by Zoran Constantinescu