By Yunji Chen, Paolo Ienne, Qing Ji
This e-book constitutes the lawsuits of the eleventh foreign Symposium on complicated Parallel Processing applied sciences, APPT 2015, held in Jinan, China, in August 2015. The eight papers offered during this quantity have been rigorously reviewed and chosen from 24 submissions. They care for the new advances in monstrous info processing; parallel architectures and platforms; parallel software program; parallel algorithms and purposes; and disbursed and cloud computing.
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Additional resources for Advanced Parallel Processing Technologies: 11th International Symposium, APPT 2015, Jinan, China, August 20-21, 2015, Proceedings
RS collector manager is used to conﬁgure and monitor the status of the running status data collection including node grouping, joining, leaving and so on. The compute nodes are divided into several groups wherein nodes are from different cabinets to avoid the same failure event like power outage and so on. Nodes in the same group form a logical loop structure like one-way circular linked list through sorting the nodes by id numbers. Let us use Iid to denote the id number of each node, and Iinitial is the ﬁrst node of the system.
The Reduce function computes the identity of the results. Word Count (WC): Word Count counts the number of each word in a collection of document ﬁles. A map task contains a set of data read from the input ﬁles, and gives each key a value of 1. The same keys in the intermediate results could be combined after map stage. The reduce task counts the number of each word collected from the map stage. 3 Experimental Results Firstly, we evaluate the performance impact of the optimization techniques, including the SIMD friendly map and pipelined reduce.
3 An Overview of the DDC Design Data collection which is the foundation of the entire procedure of failure prediction has two functions: The ﬁrst is to provide data set for the training of prediction model, where the training data set includes not only the initial training set in the establishment phase of prediction model but also the incremental data set in the upgrade phase of prediction model. The second is to provide real-time data to prediction model for real-time failure prediction. 22 W.
Advanced Parallel Processing Technologies: 11th International Symposium, APPT 2015, Jinan, China, August 20-21, 2015, Proceedings by Yunji Chen, Paolo Ienne, Qing Ji