Research ArticleOpen accessIn the abstractDynamic Scheduling for Cloud Reliability using Transportation ProblemS. K. Senthil Kumar, P. BalasubramanieProblem statement: Cloud is purely a dynamic environment and the existing task scheduling algorithms are mostly static and considered various parameters like time, cost, make span, speed, scalability, throughput, resource utilization, scheduling success rate and so on. Available scheduling algorithms are mostly heuristic in nature and more complex, time consuming and does not consider reliability and availability of the cloud … …Journal of Computer Science, Vol. 8, Issue 10 · 23 Aug 2012 · 8,332 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fault Tolerant Resource Allocation Architecture for Mobile GridS. Thenmozhi, A. Tamilarasi, P. T. VanathiProblem statement: In order to achieve high level of reliability and availability, the grid infrastructure should be fault tolerant. Since the failure of resources affects job execution fatally, fault tolerance service is essential to satisfy QoS requirement in grid computing with respect to mobile nodes. Approach: We propose a fault tolerant technique for improving reliability in mobile grid environment considering … …Journal of Computer Science, Vol. 8, Issue 6 · 7 Apr 2012 · 7,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation of Using Parallel Genetic Algorithm for Solving the Shortest Path Routing ProblemSalman Yussof, Rina Azlin Razali, Ong Hang SeeProblem statement: Shortest path routing is the type of routing widely used in computer network nowadays. Even though shortest path routing algorithms are well established, other alternative methods may have their own advantages. One such alternative is to use a GA-based routing algorithm. According to previous researches, GA-based routing algorithm has been found to be more scalable and insensitive to … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncremental DataGrid Mining Algorithm for Mobility Prediction of Mobile UsersU. Sakthi, R.S. BhuvaneswaranProblem statement: Mobility prediction is the important issue in Personal Communication Systems (PCS). Mobile users moving logs are stored in data grid located in different locations. Distributed data mining algorithm is applied on this moving logs to generate the mobility pattern of mobile users. As new moving logs are added to the data grid, existing mobility pattern becomes invalid and … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 6,775 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Framework for Distributed Dynamic Load Balancing in Heterogeneous ClusterNeeraj Nehra, R. B. Patel, V. K. BhatDistributed Dynamic load balancing (DDLB) is an important system function destined to distribute workload among available processors to improve throughput and/or execution times of parallel computer in Cluster Computing. Instead of balancing the load in cluster by process migration, or by moving an entire process to a less loaded computer, we make an attempt to balance load by splitting processes … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 8,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeedup of Particle Transport Problems with a Beowulf ClusterZhongxiang Zhao, G. Ivan MaldonadoThe MCNP code is a general Monte Carlo N-Particle Transport program that is widely used in health physics, medical physics and nuclear engineering for problems involving neutron, photon and electron transport[1]. However, due to the stochastic nature of the algorithms employed to solve the Boltzmann transport equation, MCNP generally exhibits a slow rate of convergence. In fact, engineers and scientists … …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Dec 2006 · 6,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutonomic Middleware Services for Just-In-Time Grid Services ProvisioningWail M. Omar, A. Taleb-Bendiab, Yasir KaramThe advent of widespread distributed computing environment, such as information systems and computational grids computing has enabled a new generation of applications that are based on seamless access, aggregation and interaction. The dramatic side of the story is a strong presence of the plea that those decentralized Grids are potentially affected by a number of primitives derived from their anatomy, … …Journal of Computer Science, Vol. 2, Issue 6 · 30 Jun 2006 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractRedundancy Schemes for High Availability Computer ClustersChristian K. Bassek, Samuel Pierre, Alejandro QuinteroThe primary goal of computer clusters is to improve computing performances by taking advantage of the parallelism they intrinsically provide. Moreover, their use of redundant hardware components enables them to offer high availability services. In this paper, we present an analytical model for analyzing redundancy schemes and their impact on the cluster’s overall performance. Furthermore, several cluster redundancy techniques are … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallelisation of Algorithms of Mathematical MorphologyAbdallah Boukerram, Samira A.K. AzzouThe tools of mathematical morphology developed within the framework of the image processing, require of big capacity of data and the very high costs of execution. So today, the limits of the sequential machines are not to be any more to show, the passage in the new parallel machines of type Simd, Mimd, clusters or grids is imperative. This paper … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,237 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordProcessing Large Volume of Biometric Data in the Hadoop Single Cluster Node EnvironmentJayakumar Vaithiyashankar, Shohel Sayeed, Anang Muhammad AminIn big data evolution, the analysis of large scale data and scrutinizing the required vital information becomes very demanding task. The emerging cloud platform promises and gives hope in handling the enormous volume of data. Hence, a new kind of methodology is required to tap the full potential of leveraging the big data analytics over the biometric data. In this … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 27 Oct 2017 · 8,521 accessesView PDFCite