Search Results - (( java simulation optimization algorithm ) OR ( grid computing data algorithm ))

Data discovery algorithm for scientific data grid environment by Abdullah, Azizol, Othman, Mohamed, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Othman, Abu Talib

“…By using this model, we study various discovery algorithms for locating data sets in a data grid system. …”
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Relationship based replication algorithm for data grid by Yusof, Yuhanis

“…Data Grid is an infrastructure that manages huge amount of data files and provides intensive computational resources across geographically distributed systems.To increase resource availability and to ease resource sharing in such environment, there is a need for replication services.This research proposes a replication algorithm, termed as Relationship based Replication (RBR) that integrates users, grid and system perspective.In particular, the RBR includes information of three different relationships in identifying file(s) that requires replication; file-to-user, file-to-file and file-to-grid. …”
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COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR COMPUTATIONAL GRID by AHMED ABBA, HARUNA

“…Grid scheduling is an essential element of a Computational Grid infrastructure. …”
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Heuristic task scheduling algorithms for optimal resource utilisation in grid computing by Aldailamy, Ali Y., Maipan-Uku, Jamilu Yahaya, Muhammed, Abdullah

“…The ever-increasing lack of computational resources are less able to satisfy these needs, leading to the development of grid computing. …”
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The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool by Stapa @ Mustapa, Muhamad Azhar

“…Today scheduling in Grid computing involves much static and fix algorithm. …”
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Big data clustering using grid computing and ant-based algorithm by Ku-Mahamud, Ku Ruhana

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Survey on job scheduling mechanisms in grid environment by S. M., Argungu, Che Mohamed Arif, Ahmad Suki, Omar, Mohd Hasbullah

“…Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications.These applications generate large data sets.However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as the Internet and WWW), induced impediment in the effective access to such huge and widely distributed data.To minimize this impediment, jobs need to be scheduled across grid environments to achieve efficient data access.Scheduling multiple data requests submitted by grid users onto the grid environment is NP-hard.Thus, there is no best scheduling algorithm that cuts across all grids computing environments.Job scheduling is one of the key research area in grid computing.In the recent past many researchers have proposed different mechanisms to help scheduling of user jobs in grid systems.Some characteristic features of the grid components; such as machines types and nature of jobs at hand means that a choice needs to be made for an appropriate scheduling algorithm to march a given grid environment.The aim of scheduling is to achieve maximum possible system throughput and to match the application needs with the available computing resources.This paper is motivated by the need to explore the various job scheduling techniques alongside their area of implementation.The paper will systematically analyze the strengths and weaknesses of some selected approaches in the area of grid jobs scheduling.This helps researchers better understand the concept of scheduling, and can contribute in developing more efficient and practical scheduling algorithms.This will also benefit interested researchers to carry out further work in this dynamic research area.…”
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A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things by Bakhshad, Said, Noor, Rafidah Md, Akhundzada, Adnan, Saba, Tanzila, Ahmedy, Ismail, Haroon, Faisal, Nazir, Babar

“…Grid computing is a powerful distributed and scalable computing infrastructure that deals with massive data-intensive applications. …”
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A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

“…Data Grid provides a scalable infrastructure for managing and storing large amount of data files in Grid computing system. …”
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Improved genetic algorithm for scheduling divisible data grid application by Kaid, Monir Abdullah Abduh, Othman, Mohamed, Ibrahim, Hamidah, K. Subramaniam, Shamala

“…In this paper, we exploit this property and propose an Improved Genetic Algorithm (IGA) for scheduling divisible data grid applications. …”
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Replica Creation Algorithm for Data Grids by Madi, Mohammed Kamel

“…This thesis presents a new replication algorithm that improves data access performance in data grids by distributing relevant data copies around the grid. …”
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Implementation of Grid Computing for Cryptosystem (RSA) by Abd Wahab, Mohamed Ferdaus

“…One objective ofthis project is to perform a small scale study in order to set up a grid computing that can support faster computation ofRSA Algorithm. …”
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Max-average: an extended max-min scheduling algorithm for Grid computing environtment by Maipan-uku, J. Y., Muhammed, Abdullah, Abdullah, Azizol, Hussin, Masnida

“…Grid computing can also be referred as a computing platform for users to utilise the remote heterogeneous resources for solving their large scale jobs that require a huge amount of processing power or a huge data storage. …”
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Dynamic replication aware load blanced scheduling in distributed environment / Said Bakhshad by Said Bakhshad, Bakhshad

“…Grid computing is an effective distributed and adaptable processing network that manages a huge number of data applications. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids by Abdullah, Monir, Othman, Mohamed, Ibrahim, Hamidah, K. Subramaniam, Shamala

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A novel binary vote assignment grid quorum algorithm for distributed database fragmentation by Ainul Azila, Che Fauzi, Noraziah, Ahmad, Noriyani, Mohd Zin

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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids by Abduh Kaid, Monir Abdullah

“…In many data grid applications, data can be decomposed into multiple independent sub datasets and distributed for parallel execution. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini by Amini, Amineh

“…This study proposes a density-based algorithm for clustering evolving data streams. The proposed method, which is called MuDi-Stream (Multi Density clustering algorithm for evolving data Stream), is an online-offline algorithm with four main components. …”
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Green scheduling algorithm for a computational grid environment by Haruna, A.A., Jung, L.T., Zakaria, M.N., Haron, N.S.

“…Recently, the increasing demand for computing has led to the development of computational grids. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…The simulation is implemented with iFogSim and java programming language. …”
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