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MapReduce is an essential framework for distributed storage and parallel processing for large-scale dataintensive jobs proposed in recent times. Hadoop default scheduler assumes a homogeneous environment. This assumption of homogeneity does not work at all times in practice and limits the performance of MapReduce. In heterogeneous environments, the job completion times do not synchronize. Data locality...
Speech synthesis is the computer generated human voice. It is also known as a text-to-speech system which converts text information into speech. Speech synthesis systems are often called text-to-speech (TTS) systems about their ability to convert text into speech. A TTS synthesis system converts written orthographic text into corresponding artificial speech signals. In multi-lingual cultural settings,...
MapReduce framework in no time established as a vital distributed model for the applications which are data-intensive. Hadoop default scheduler is restricted by the idea that cluster nodes are homogeneous. The job execution time is extended by the tasks and TaskTrackers which are running slowly in heterogeneous Hadoop cluster. In this paper, we propose a unique MapReduce scheduler that identifies...
MapReduce is presently established as an important distributed and parallel programming model with wide acclaim for large scale computing. Intelligent scheduling decisions can help in reducing the overall runtime of the jobs. MapReduce performance is currently limited by its default scheduler, which does not adapt well in heterogeneous environments. Heterogeneous environments were considered in Longest...
A Hypervisor at the same time agrees a single system to run two or additional operating systems. To gather forensic proof of examined activities or attacks against the system, the evidence kept in logs of a system plays an important role. In this paper, we have analyzed logs, snapshots and also the network connectivity of guest and host operating systems. We have studied different virtualization systems...
MapReduce is currently a significant model for distributed processing of large-scale data intensive applications. MapReduce default scheduler is limited by the assumption that nodes of the cluster are homogeneous and that tasks progress linearly. This model of MapReduce scheduler is used to decide speculatively re-execution of straggler tasks. The assumption of homogeneity does not always hold in...
Autonomic computing is an intelligent computing approach to self-managed computing systems with minimum human interference in a way to provide a stable computing environment. Such an environment can be defined in terms of self-sustaining features of an autonomic computing such as Self Configuring, Self-Healing, Self-Optimization and Self-Protecting. Self-Healing is an emerging research discipline,...
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