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Provisional Access of Workflow Scheduling with Mobile Agents in Agricultural Application

2020 International journal of recent technology and engineering  
To reduce make span process, anticipated model uses cost, reward and action techniques to grafting workflow scheduling need and resourceful experience from experienced system indeed of merging entire model  ...  Here, MATLAB environment is used for simulation. Metrics like cost, Make span is evaluated for agricultural dataset. Comparison is done with anticipated Dense mobile Network and Deep Q Network.  ...  Here, a comparative analysis has been performed among DQN and DMN model using MATLAB simulation environment for examining multiple scientific workflow over simulation environment and to preserve those  ... 
doi:10.35940/ijrte.f8048.038620 fatcat:6kitget35fdh5hqldhdkfdqzfq

New Framework for Improving Big Data Analysis Using Mobile Agent

Youssef M., Gamal ATTIYA, Ayman EL-SAYED
2014 International Journal of Advanced Computer Science and Applications  
The proposed framework is called MapReduce Agent Mobility (MRAM). MRAM is developed by using mobile agent and MapReduce paradigm under Java Agent Development Framework (JADE).  ...  This is because Hadoop designed to support parallel and distributed data processing. Hadoop provides a distributed file processing system that stores and processes a large scale of data.  ...  Third Step This step uses features of mobile agent. Mobile agent can react dynamically and autonomously to change in their environment.  ... 
doi:10.14569/ijacsa.2014.050303 fatcat:orxog6i7rjf2vh6kobqs2uxlhu

Design and Architecture for Efficient Load Balancing with Security Using Mobile Agents

R. Ezumalai, G. Aghila, R. Rajalakshmi
2010 International Journal of Engineering and Technology  
Third, and perhaps more significantly, address the mobile agent to provide the security in a network.  ...  Load balancing system is commonly used for highly efficient utilization of the physical or logical resources and enhancing the performance of the distributed systems and scalability of the Internet.  ...  Distributed computing is a form of parallel computing, but parallel computing is most commonly used to describe program parts running simultaneously on multiple processors in the same computer [9] .  ... 
doi:10.7763/ijet.2010.v2.100 fatcat:nlxvz4clpjabdhaptjksgrozka

A Multi-agent Framework for Performance Tuning in Distributed Environment [article]

Sarbani Roy, Saikat Halder, Nandini Mukherjee
2010 arXiv   pre-print
This paper presents the overall design of a multi-agent framework for tuning the performance of an application executing in a distributed environment.  ...  The multi-agent framework provides services like resource brokering, analyzing performance monitoring data, local tuning and also rescheduling in case of any performance problem on a specific resource  ...  Our mobile Subordinate Agents are assigned with the responsibility of migration of the jobs on the basis of the report sent by the Analysis Agents.  ... 
arXiv:1005.2027v1 fatcat:2kkswjmpyvbudk52nii3zj3obu

Evolution of Query Optimization Methods [chapter]

Abdelkader Hameurlain, Franck Morvan
2009 Lecture Notes in Computer Science  
The major contributions of this paper are: (i) understanding the mechanisms of query optimization methods with respect to the considered environments and their constraints (e.g. parallelism, distribution  ...  In this paper, we try to describe synthetically the evolution of query optimization methods from uniprocessor relational database systems to data Grid systems through parallel, distributed and data integration  ...  In an execution model based on mobile agents, a part of cost model should be embedded in mobile agents.  ... 
doi:10.1007/978-3-642-03722-1_9 fatcat:uzhmfy5iq5gajodcpj6ixpj5qy

Applying Autonomic Computing Concepts To Parallel Computing Using Intelligent Agents

Blesson Varghese, Gerard T. McKee
2009 Zenodo  
on a parallel computing core is considered as a swarm of autonomous agents.  ...  A task is carried to a computing core by carrier agents and is seamlessly transferred between cores in the event of a predicted failure, thereby achieving self-ware objectives of autonomic computing.  ...  A parallel task to be executed resides in a queue, which is mapped onto swarm agents by a scheduler.  ... 
doi:10.5281/zenodo.1330891 fatcat:tqi2antktngm5ahvxrpcgarvry

Towards Self-Ware Via Swarm-Array Computing

Blesson Varghese, Gerard McKee
2009 Zenodo  
The work reported in this paper proposes Swarm-Array computing, a novel technique inspired by swarm robotics, and built on the foundations of autonomic and parallel computing.  ...  The feasibility of a proposed approach is validated on the SeSAm multi-agent simulator and landscapes are generated using the MATLAB toolkit.  ...  From the research perspective, achieving mobility of swarm agents in a heterogeneous parallel computing environment opens a new avenue to be explored.  ... 
doi:10.5281/zenodo.1055268 fatcat:zwjptmr5yrcyri4amiayrbztqu

Coordination Approaches and Systems - Part II: An Operational Perspective

Graham Coates, Robert Ian Whitfield, Alex H. B. Duffy, Bill Hills
2000 Research in Engineering Design  
Aspects of coordination categorised as operational include resource management, scheduling and planning.  ...  This is the second of two papers surveying research in coordination approaches and systems.  ...  It has been recognised that while resource scheduling in a distributed parallel computing environment has been the focus of much research over recent years, network monitoring has been largely neglected  ... 
doi:10.1007/s001630012073 fatcat:kpqhvtsawzaddmnke42yfvfsye

Can Space Applications Benefit from Intelligent Agents? [chapter]

Blesson Varghese, Gerard McKee
2010 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
In the intelligent agent approach, a task to be executed on parallel computing cores is considered as a swarm of autonomous agents.  ...  The work reported in this paper proposes a Swarm-Array computing approach based on 'Intelligent Agents' to apply autonomic computing concepts to parallel computing systems and build reliable systems for  ...  A parallel task to be executed resides in a queue, which is mapped onto swarm agents by a scheduler.  ... 
doi:10.1007/978-3-642-11482-3_13 fatcat:ttxkcihmv5dz3oqlqnpgqglsda


2015 Procedia Computer Science  
for Mobile Ad-hoc Networks Using Tamper Evident Mobile Agents D.  ...  Android Using Hybridization of Description Analysis, Permission Mapping and Interface Analysis P.  ... 
doi:10.1016/s1877-0509(15)00434-2 fatcat:bhtxpdmvc5hnnexhqeo4l6a2ru

Application and support for high-performance simulation

Navonil Mustafee, Simon J E Taylor
2013 Simulation (San Diego, Calif.)  
His current research explores the use of multiple operations research techniques and hybrid-simulation in the operations context. He publishes in both computing and operations  ...  He has applied distributed computing technologies such as grid computing and parallel and distributed simulation to execute large and complex simulations in application domains such as healthcare and banking  ...  In this study, the authors propose an agent-based parallel geo-simulation framework of urban mobility.  ... 
doi:10.1177/0037549713509777 fatcat:75faqeibfnhgxag5mdaj3r34uq

Comparative Analysis on Load Balancing Techniques in Cloud Computing

Amit Verma, Sanjay Kumar Sharma, Bhavneet Kaur
2016 Indian Journal of Science and Technology  
Findings: With the presence of vast literature in field of load balancing, it was found confusion for the new scholars to find the startup point for their research in this field.  ...  Background/Objectives: Cloud computing is an arena that is ruling the world of information technology. Every user has its own definition for this technology as per their use.  ...  In 9 author has presented an idea of scheduling parallel applications for multiuser, non-homogenous and large scale distributed systems.  ... 
doi:10.17485/ijst/2016/v9i11/82653 fatcat:kyolhg7qwnchhpxzjkqmnfulza

The Development of a Grid Based Engineering Design Problem Solving Environment [chapter]

A. D. Scurr, A. J. Keane
2002 Lecture Notes in Computer Science  
In order to provide an environment that more naturally meets the data-centric view of users, two major enhancements to the PSE are planned. The first concerns scheduling and task farming.  ...  This paper gives an overview of the grid based Engineering Design Problem Solving Environment (PSE) being developed at Southampton University.  ...  Concurrency is important, with any agent interacting with other agents running in parallel in a distributed heterogeneous computing environment.  ... 
doi:10.1007/3-540-46043-8_89 fatcat:cocund22e5davdtjlnmrkkunmy

Efficient Parallel Application Execution on Opportunistic Desktop Grids [chapter]

Francisco Silva, Fabio Kon, Daniel Batista, Alfredo Goldman, Fabio Costa, Raphael Camargo
2012 Grid Computing - Technology and Applications, Widespread Coverage and New Horizons  
Important programming models to consider include message-passing standards, such as MPI (MPI, 2009), BSP (Bisseling, 2004; Valiant, 1990) , distributed objects, publish-subscribe, and mobile agents.  ...  , all needing to be integrated as part of a seamless environment for distributed applications.  ...  Heterogeneity: several mobile agent platforms can be executed in heterogeneous environments, an important characteristic for better use of computational resources among multi-organization environments  ... 
doi:10.5772/35599 fatcat:aibrgyyqkzcm5dyqvdgd2nqvqy

Dynamic Resource Discovery Scheme for Vehicular Cloud Networks

Mahantesh G. Kambalimath, Electronics and Instrumentation Engineering Department Basaveshwar Engineering College (Autonomous), Bagalkot - 587102, Karnataka, India, Mahabaleshwar S. Kakkasageri
2019 International Journal of Information Technology and Computer Science  
In this paper we proposed dynamic resource discovery scheme in VCN. Proposed resource discovery scheme uses Honey Bee Optimization (HBO) technique integrated with static and mobile agents.  ...  Index Terms-Vehicular Cloud Networks, Honey Bee Optimization, Queen Mobile Agent, Vehicle Manager Agent.  ...  Agency consists of knowledge base, static agent (Vehicle Manager Agent, VMA) and mobile agent (Queen Mobile Agent, QMA). Fig. 1 . 1 Vehicular Cloud Network Environment Fig.2.  ... 
doi:10.5815/ijitcs.2019.12.04 fatcat:kh4ixivydrdfdcafstrtpfhxei
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