37 results for “Cloud Applications”

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Research ArticleOpen accessIn the abstractMACHINE LEARNING APPROACHES IN IMPROVING SERVICE LEVEL AGREEMENT-BASED ADMISSION CONTROL FOR A SOFTWARE-AS-A-SERVICE PROVIDER IN CLOUDR. S. Mohana, P. ThangarajSoftware as a Service (SaaS) offers reliable access to software applications to the end users over the Internet without direct investment in infrastructure and software. SaaS providers utilize resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider in order to serve their customers. Internal hosting can ample cost of administration and maintenance … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,956 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerformance Improvement in Cloud Computing Using Resource ClusteringG. Malathy, Rm Somasundaram, K. DuraiswamyCloud computing is a computing paradigm in which the various tasks are assigned to a combination of connections, software and services that can be accessed over the network. The computing resources and services can be efficiently delivered and utilized, making the vision of computing utility realizable. In various applications, execution of services with more number of tasks has to perform … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,737 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Metadata Based Storage Model for Securing Data in Cloud EnvironmentS. Subashini, V. KavithaProblem statement: Enterprises are migrating to the cloud environment at a faster pace. Security of information that is being processed by the applications and ultimately getting stored in the data centers are of big concerns of this newly evolving environment. The security of the data is a concern not only during transferring of data through the wires but also during … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 27 Jul 2012 · 7,185 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Dynamic Resource Allocation Method for Parallel DataProcessing in Cloud ComputingV. Venkatesa Kumar, S. PalaniswamiProblem statement: One of the Cloud Services, Infrastructure as a Service (IaaS) provides a Compute resourses for demand in various applications like Parallel Data processing. The computer resources offered in the cloud are extremely dynamic and probably heterogeneous. Nephele is the first data processing framework to explicitly exploit the dynamic resource allocation offered by today’s IaaS clouds for both, task … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,422 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAdapting the LMF Temporal Splining Procedure From Serial to MPI/Linux ClustersSajia Akhter, Ipshita Sarkar, Kazi G. Rabbany et al.Remote Sensing (RS) provides images over large areas such as provincial or country level. During the last 20 years, it plays a vital role for developing many complex applications. However, RS image includes data noises due to influence of haze or cloud especially in the rainy season. It is thus necessary to remove the noise to recover the real ground … …Journal of Computer Science, Vol. 3, Issue 3 · 31 Mar 2007 · 7,461 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordReview of Fault Tolerance, Replication, and Fragmentation in Grid-Cloud Distributed SystemsMohammed Adam Kunna Azrag et al.The study investigates key aspects of data management in distributed systems, focusing on fragmentation, replication and fault tolerance. With the increasing complexity of modern applications, efficient data handling across multiple nodes has become critical. The study begins by reviewing existing literature and moves on to analyze fragmentation techniques, evaluating their role in optimizing performance and resource utilization. Replication methods are … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,796 accessesView PDF Cite