Search Results - (( java implementation modified algorithm ) OR ( programming model cloud algorithm ))
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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.]
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Enhancing cloud data security using hybrid of advanced encryption standard and Blowfish encryption algorithms
Published 2019“…Cloud computing is an IT model that offers a large number of storage space, unbelievable computing power and inconceivable speed of calculations. …”
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…The studies show beyond technical algorithms, physical aspects plays a big rule in client server model. …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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User authentication in public cloud computing through adoption of electronic personal synthesis behavior
Published 2023“…Public cloud computing is one of the deployment services that can be accessed by all potential users through a website or program interface, at any time, from anywhere, and by using any device. …”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
Published 2017“…Strength of efficient local optimization procedures based on active-set (AS), interior-point (IP) and sequential quadratic programming (SQP) algorithms is used to optimize the energy functions. …”
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
Published 2016“…Considering the complexity factors, existing literature proposes static execution models for MDSM applications. The execution models are based on either standalone mobile devices, mobile-to-mobile, mobile-to-edge, or mobile-to-cloud communication models. …”
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Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Map Reduce is one common programming model to process and handle a large amount of data, specifically in big data analysis. …”
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Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Map Reduce is one common programming model to process and handle a large amount of data, specifically in big data analysis. …”
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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…Cloud applications such as data storage, data retrieval and data portability have become significant requirements for cloud computing. …”
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A fuzzy multi-objective optimisation model of risk-based gas detector placement methodology for explosion protection in oil and gas facilities
Published 2022“…Risk analysis is conducted to identify high risk areas that need flammable gas detectors protection, which is the input for the mathematical model. The proposed risk-based model was tested using a case study involving a natural gas liquids (NGL) recovery unit, and the results were compared to a published greedy algorithm (GA) formulation. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques
Published 2021“…Topographic information such as feature maps and digital terrain models (DTM) has always been a basic requirement in many engineering sciences. …”
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Membership function model for defining optimality of vapor pressure deficit in closed-field cultivation of tomato
Published 2016“…An incremental algorithm was written in MATLAB© based on definitive concepts in VPD equations and the GR model. …”
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