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47 results for “Grid Computing”
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Research ArticleOpen accessIn the abstractFramework for Enhancing the Performance of Data Intensive MPI based HPC applications on CloudAshwini Janagal Padmanabha, Sanjay Harogolige AdimurthyCloud computing is a new technology which is revolutionizing the current business model with pay-per-usage resource provisioning method. This model proves to be more profitable compared to traditional resource procurement and maintenance model. Data intensive High performance applications (HPC Application) handles large scale data sets on cluster/grid environment for enhanced performance. Most of these applications belong to the MPI category, … …Journal of Computer Science, Vol. 13, Issue 8 · 7 Aug 2017 · 7,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractScheduling Jobs through Gap Filling and Optimization Techniques in Computational GridOmar Dakkak, Shahrudin Awang Nor, Suki ArifDue to the heterogeneity and complexity in grid computing, classical algorithms may not be able to deal with dynamic jobs properly. In the dynamic mode, incoming jobs reach the scheduler arbitrary. Therefore, scheduling the jobs using simple policy alone deteriorates the performance of the scheduler. Thus, a policy that can handle the dynamicity efficiently is indispensable. This paper presents the … …Journal of Computer Science, Vol. 13, Issue 5 · 17 May 2017 · 7,418 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Scheme Design of Cloud + End Technology in Demand Side ManagementLeijiao Ge, Xiandong XuDemand Side Management (DSM) plays an important role in Smart Grid. It has large scale access points, massive users, heterogeneous infrastructure and dispersive participants. Moreover, cloud computing which is a service model is characterized by resource on-demand, high reliability and large scale integration and so on and the game theory is a useful tool to the dynamic economic phenomena. In … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 29 Nov 2015 · 7,493 accessesView PDFCite
Research ArticleOpen accessIn the abstractFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CLUSTERING-BASED HYBRID REPLICA CONTROL PROTOCOL FOR HIGH AVAILABILITY IN GRID ENVIRONMENTRohaya Latip, Zulaile Mabni, Hamidah Ibrahim et al.In recent years, with the emergence of grid computing system, the number of distributed sites has become very large. When thousands of sites involved in a grid computing system, data replication can improve data availability, communication cost and provide fault-tolerance in the system. In the literature, many replica control protocols have been proposed for managing replicated data. However, in large … …Journal of Computer Science, Vol. 10, Issue 12 · 24 Dec 2014 · 8,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatic Batch Mode Heuristic Algorithm for Mapping Independent Tasks in Computational GridR. Vijayalakshmi, V. VasudevanGrid computing plays an important role in solving large-scale computational problems in a high performance computing environment. Scheduling of tasks to efficient and best suitable resource is one of the most challenging phase in grid computing systems. Grid environment reveals several challenges in efficient scheduling of complex applications because of its heterogeneity, dynamic behavior and shared resources. Scheduling of independent … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractMAPREDUCE CHALLENGES ON PERVASIVE GRIDSL. A. Steffenel, O. Flauzac, A. S. Charao et al.This study presents the advances on designing and implementing scalable techniques to support the development and execution of MapReduce application in pervasive distributed computing infrastructures, in the context of the PER-MARE project. A pervasive framework for MapReduce applications is very useful in practice, especially in those scientific, enterprises and educational centers which have many unused or underused computing resources, which … …Journal of Computer Science, Vol. 10, Issue 11 · 24 Jul 2014 · 9,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractResource Selection in Grid Environment Based on Trust Evaluation Using Feedback and PerformancePrakash Mohan, Ravichandran ThangavelA grid computing is a collection of distributed computing resources owned by many organizations across boundaries and not dedicated for a single user available in the Virtual Organization. Grid computing environment provides more computational capabilities to increase the scalability and efficiency of the infra-structure. Resource selection in computational grid is the open issue for executing complex jobs. Trust is the … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,169 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Based Mechanism For Allocation of Grid ResourcesM. Poonguzhali, S. ShanmugavelOne of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth) to the tasks submitted by users. In our previous work a technique to allocate resources in a grid environment using predicted data has been proposed. We propose utilization of the predicted data the resources were classified into three types; they are permanent resources, semi-permanent … …Journal of Computer Science, Vol. 9, Issue 5 · 23 May 2013 · 6,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Fault Tolerant Scheduling Approach for Computational GridP. Keerthika, N. KasthuriGrid computing serves as an important technology to facilitate distributed computation computational grids solve large scale scientific problems using heterogeneous geographically distributed resources. Problems like dispatching and scheduling of tasks are considered as major issues in computational grid environment. The Grid Scheduler must select proper resources for executing the tasks with less response time. There are various reasons such as … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 5 Jan 2013 · 6,995 accessesView PDFCite