By Atulya Nagar, Durga Prasad Mohapatra, Nabendu Chaki

ISBN-10: 8132225287

ISBN-13: 9788132225287

ISBN-10: 8132225295

ISBN-13: 9788132225294

Advanced Computing, Networking and Informatics are 3 unique and collectively specific disciplines of information without obvious sharing/overlap between them. in spite of the fact that, their convergence is saw in lots of actual global purposes, together with cyber-security, net banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This quantity complaints discover the mixed use of complex Computing and Informatics within the subsequent iteration instant networks and protection, sign and photo processing, ontology and human-computer interfaces (HCI). the 2 volumes jointly comprise 132 scholarly articles, which were authorised for presentation from over 550 submissions within the 3rd overseas convention on complicated Computing, Networking and Informatics, 2015, held in Bhubaneswar, India in the course of June 23–25, 2015.

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The CPU time for the execution of each steps is calculated as in Eq. (5). CPU time ¼ CPUcurrent À CPUlast ð5Þ Cmap ¼ T mapparse þ T mapmap þ T mapsort þ T mapmerge ð6Þ The network cost of map task, calculated as in Eq. (7) includes the size of the map task input and the bandwidth of the link as in 7. N I=Omap ¼ map i=p size bandwidth ð7Þ The overall cost of map function is given in Eq. (8) Map cost ¼ dm à D I=Omap þ cm à Cmap þ nm à N I=Omap ð8Þ dm, cm and nm are the weights given based on the values of the parameters considered.

In this experiment there are no additional disturbances like interrupts, dying nodes or lost packages introduced. The message size is in general 1400 Byte which is below the maximum transfer unit of Ethernet at about 1500 Byte. Beacons and token have the size of Ethernet minimum frame size of 64 Byte. The timing windows for the communication phases are equally spaced by 100 3 ms. 3 s which equals three full MTS-cycles. Figure 5 shows the result of this experiment. The network events are initiated by the transport layer protocol in the simulated Ethernet layer.

They have addressed a technique called delay scheduling that employ a delay for non-local tasks. Zhang et al. [13] proposed a method called Next K node Scheduling (NKS) to improve data locality by calculating the probability of each task, and schedule the one with the highest probability to these nodes. Such strong assumptions cannot be held in heterogeneous environment. 3 Overview of Scheduling in Hadoop A hadoop system can be described based on three factors: cluster, workload and user [14]. These factors can be either homogeneous or heterogeneous, that exhibit the level of diversity of the hadoop system.

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Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics: ICACNI 2015, Volume 2 by Atulya Nagar, Durga Prasad Mohapatra, Nabendu Chaki


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