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40 results for “Computer Cluster”
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Research ArticleOpen accessPhrase in the titleRedundancy 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 accessPhrase in the titleTowards a Scalable File System on Computer Clusters Using DeclusteringVu Anh Nguyen, Samuel Pierre, Dougoukolo KonaréThis study addresses the scalability issues involving file systems as critical components of computer clusters, especially for commercial applications. Given that wide striping is an effective means of achieving scalability as it warrants good load balancing and allows node cooperation, we choose to implement a new data distribution scheme in order to achieve the scalability of computer clusters. We suggest … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,516 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParallelisation 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 accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel for Automated and Improved Utilization of Existing Computer Resources on an Example of Web ServersDino Alagić, Ivan MagdalenićInformation technology is under constant innovation pressure to provide the highest level of data availability – i.e., the continuous functioning of operating systems. This is the very reason for an accelerated development of complex systems encompassed by the term cloud computing. Among other things, such solutions are aimed to ensure high-level availability of complex systems and architecture. Numerous studies indicate … …Journal of Computer Science, Vol. 14, Issue 2 · 2 Mar 2018 · 8,270 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 abstractA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Diversity of Red Chittagong Cattle Using Randomly Amplified Polymorphic DNA MarkersMohammad Masud Rana Mufti, Mst. Parvin Mostari, Gautam Kumar Deb et al.Problem statement: Red Chittagong Cattle (RCC) is a potential genetic resource in Bangladesh having dairy potentialities, high resistance to disease and survive harse environmental condition while require low input supply. This resource is now disappearing due to indiscriminate crossing with other local and exotic cattle. To conserve this resource, find out the genetic diversity of RCC is prime concern. Approach: … …American Journal of Animal and Veterinary Sciences, Vol. 4, Issue 1 · 17 Mar 2009 · 8,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in ClusterP. Sammulal, M. V. Gopalachari, A. V. BabuHigh performance clusters are being configured specially to give data centers that require extreme performance and the processing power they need. When the data is accessed across clusters the data latency time has significant impact on the performance. In the literature it is given that memory and I/O have become the new bottleneck, instead of processing power in achieving efficient … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,904 accessesView PDFCite