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dc.contributor.authorPanda, S K-
dc.contributor.authorAgrawal, P-
dc.contributor.authorKhilar, P M-
dc.contributor.authorMohapatra, Durga Prasad-
dc.identifier.citation2014 Fourth International Conference on Advanced Computing & Communication Technologies, IEEE, February 8-9, 2014, HUDA Sector 4, Rohtaken
dc.descriptionCopyright belongs to IEEE.en
dc.description.abstractSkewness plays a very important role in task scheduling. It measures the degree of asymmetry in a data set.Moreover, the data set may be positively skewed or negatively skewed. The quartile coefficient of skewness lies in between -1 to 1. If the quartile coefficient is in between -1 to 0, then the data set is negatively skewed. Otherwise, it is positively skewed. Min-Min and Max-Min heuristic underperforms if the data set is positively skewed and negative skewed respectively. In order to overcome this problem, we have proposed a hybrid heuristic called Skewness-Based Min-Min Max-Min (SBM2). This heuristic selects one of the heuristics (Min-Min or Max-Min)based on the skewness value. It can be calculated using three factors: first quartile, second quartile (or median) and third quartile. Simulation results show that the proposed hybrid heuristic minimizes the makespan and handle the skewed data set.en
dc.format.extent245249 bytes-
dc.subjectGrid Schedulingen
dc.subjectData Seten
dc.subjectMachine Utilizationen
dc.titleSkewness-Based Min-Min Max-Min Heuristic for Grid Task Schedulingen
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