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An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems

Bilal Hussain, Nadeem Javaid, Qadeer Hasan, Sakeena Javaid, Asif Khan, Shahzad Malik
2018 Energies  
In this work, a three-step simulation based posteriori method is proposed to develop a scheme for eco-efficient operation of HEMS.  ...  The search has been driven through multi-objective genetic algorithm and Pareto based optimization.  ...  Due to the advanced completion of the jobs of AS type SHAs denoted by TBD(A), the average TBD is computed.  ... 
doi:10.3390/en11113091 fatcat:dqv3nwxmergh3exfhdtrgv5bxy

A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

Bilal Hussain, Asif Khan, Nadeem Javaid, Qadeer Hasan, Shahzad Malik, Amir Dar, Ahmad Kazmi, Omar Ahmad
2019 Electronics  
in a single run.  ...  The algorithm for PDDR-RED-based HEMS is developed by combining a DWS-PSO-based PDDR scheme for load shifting with the dispatch strategy for the photovoltaic (PV), storage battery (SB), and power grid  ...  The TBD(A) assumes a minimum value of 0 when all of the SHAs complete their jobs at their proposed job ending time in ENslt(b), and will achieve a maximum value of 1 when Tst(b) equals STslt(b).  ... 
doi:10.3390/electronics8020180 fatcat:zp3gfnfd7nhzjmetodlq24wv2u

Issues and Challenges of Load Balancing Algorithm in Cloud Computing Environment

Mahfooz Alam, Zaki Ahmad Khan
2017 Indian Journal of Science and Technology  
Objectives: To enlighten the issues and challenges of Load Balancing Algorithm (LBA) for cloud computing environment. In this study the authors proposed a LBA for cloud computing server.  ...  The economical LB algorithm assures cost effective resource usage by provisioning of resources to cloud users on demand schedule in pay-as-you-say-manner.  ...  ACCLB allows storage over long distances and shared computation gets optimal job scheduling.  ... 
doi:10.17485/ijst/2017/v10i25/105688 fatcat:rjp4yjwr65h43neihkubzjho3u

A Three-Stage Optimization Algorithm for the Stochastic Parallel Machine Scheduling Problem with Adjustable Production Rates

Rui Zhang
2013 Discrete Dynamics in Nature and Society  
To address the difficulty, a simulation-based three-stage optimization framework is presented in this paper for high-quality robust solutions to the integrated scheduling problem.  ...  Therefore, the decision variables include both the production schedule (sequences of jobs) and the production rate of each machine.  ...  Stage 2: Optimization of the Production Schedule. In this stage, we use a simulation-based differential evolution algorithm for finding a satisfactory production schedule.  ... 
doi:10.1155/2013/280560 fatcat:ecxvfpaplzdztjsbh5hfsgd5q4

An Introduction to Multiobjective Metaheuristics for Scheduling and Timetabling [chapter]

J. Dario Landa Silva, Edmund K. Burke, Sanja Petrovic
2004 Lecture notes in economics and mathematical systems  
A number of multiobjective metaheuristics have been proposed in recent years to obtain sets of compromise solutions for multiobjective optimisation problems in a single run and without the need to convert  ...  In many real-world scheduling problems (eg. machine scheduling, educational timetabling, personnel scheduling, etc.) several criteria must be considered simultaneously when evaluating the quality of the  ...  We would also like to thank Vincent T'kindt for his valuable advice in preparing this paper.  ... 
doi:10.1007/978-3-642-17144-4_4 fatcat:2xmiliorcjdftnkl47ouncnoeu

Computational Science and Engineering On-line: an integrated web-based environment for multi-scale modelling of complex reaction systems

Thanh N. Truong, Tom Cook, Manohar Nayak, Chaiwoot Boonyasiriwat, Le-Thuy T. Tran, Shaowen Zhang
2004 Molecular Physics  
Work is in progress to allow CSEO accessing resources from the computing grids using the Globus technology. CSEO can be accessed at It can also be hosted at different mirror sites.  ...  We present a development of an integrated extendable web-based environment called Computational Science and Engineering On-line (CSEO) to include different fields of computational science.  ...  grids that are far beyond those available locally, and master subjects in other areas of computational science and engineering without regard to geographical location and schedule (see figure 1 ).  ... 
doi:10.1080/00268970310001649392 fatcat:hhwy2srfabhvhahmnnzjgtzjz4

EasyFJP: Providing hybrid parallelism as a concern for divide and conquer java applications

Cristian Mateos, Alejandro Zunino, Mat´ıas Hirsch
2013 Computer Science and Information Systems  
Because of the increasing availability of multi-core machines, clusters, Grids, and combinations of these there is now plenty of computational power, but today's programmers are not fully prepared to exploit  ...  In particular, Java has helped in handling the heterogeneity of such environments. However, there is a lot of ground to cover regarding facilities to easily and elegantly parallelizing applications.  ...  To schedule parallel tasks, we used the random job stealing algorithm (or RS for short) provided by Satin.  ... 
doi:10.2298/csis120712021m fatcat:opgqu3ty75etxjjnls72hl6w6y

Heuristic Algorithms for Energy and Performance Dynamic Optimization in Cloud Computing

Lizheng Guo, Yifei Zhang, Shuguang Zhao
2017 Computing and informatics  
This results in the adoption of data centers which store, process and present the data in a seamless, efficient and easy way.  ...  Therefore, we need a Green computing solution that can not only minimize the using costs and reduce the environment impact but also 1336 L. Guo, Y. Zhang, Sh. Zhao improve the performance.  ...  But, the authors have not proposed a method for automatic resource management at the global level. Job scheduling policies in a cluster have been studied in [16] .  ... 
doi:10.4149/cai_2017_6_1335 fatcat:wd5gh5umwrf7xf3zhroe5fu6zu

Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization

Rafael R. Bravo, Etienne Baratchart, Jeffrey West, Ryan O. Schenck, Anna K. Miller, Jill Gallaher, Chandler D. Gatenbee, David Basanta, Mark Robertson-Tessi, Alexander R. A. Anderson, Roeland M.H. Merks
2020 PLoS Computational Biology  
The Hybrid Automata Library (HAL) is a Java Library developed for use in mathematical oncology modeling.  ...  HAL is a useful asset for researchers who wish to build performant 1D, 2D and 3D hybrid models in Java, while not starting entirely from scratch.  ...  HAL's algorithms are tested in a series of small test programs. These tests help ensure confidence in the algorithm implementations.  ... 
doi:10.1371/journal.pcbi.1007635 pmid:32155140 fatcat:6j5ppdlvlfge5mibpeslvjlhry

Job Scheduling in Grid Farms

Andreas Gellrich
In the course of studying alternative scheduling models,a home-made scheduler was developed (working title: MySched), which istailored to then needs of the DESY-HH Grid farm and uses the C-API ofPBS/TORQUE  ...  It is based on a simple scheduling model without supportfor multi-core jobs and job parallelism and is optimized for highjob slot occupancy an [...]  ...  Mapping Jobs In the Grid, jobs are sent to the batch system by means of Computing Elements (CE). Authentication and authorization is based on X509 proxies with VOMS-extensions.  ... 
doi:10.3204/desy-2013-01321 fatcat:vdd5evosovgmjot6nbgtayd4sa

Critical Path Algorithm for Real Time Applications in Cloud Environment

Juhi Singh, Shalini Agarwal
2017 Shalini Agarwal International Journal of Innovations & Advancement in Computer Science IJIACS   unpublished
In this paper we proposed an algorithm that finds the availability of the services for the real time applications.  ...  In today's scenario cloud computing is gaining more and more popularity as we are moving towards digitization.  ...  For every past from Tst till Tex 5. compute EST for each task where 6. EST(Tst) = 0 7.  ... 

Design considerations for workflow management systems use in production genomics research and the clinic [article]

Azza E Ahmed, Joshua Allen, Tajesvi Bhat, Prakruthi Burra, Christina E Fliege, Steven N Hart, Jacob R Heldenbrand, Matthew E. Hudson, Dave Deandre Istanto, Michael T Kalmbach, Gregory D. Kapraun, Katherine I Kendig (+8 others)
2021 bioRxiv   pre-print
We employed two use cases: a variant-calling genomic pipeline and a scalability-testing framework, where both were run locally, on an HPC cluster, and in the cloud.  ...  of data across heterogeneous computational environments.  ...  Acknowledgements This work was a product of the Mayo Clinic and Illinois Alliance for Technology-Based Healthcare.  ... 
doi:10.1101/2021.04.03.437906 fatcat:23jozpduxretjbkpj6a73ji6eq

BURN: Enabling Workload Burstiness in Customized Service Benchmarks

Giuliano Casale, Amir Kalbasi, Diwakar Krishnamurthy, Jerry Rolia
2012 IEEE Transactions on Software Engineering  
This is useful to study, in a controlled way, the robustness of software services to sudden changes in the workload characteristics and in the usage levels of the resources.  ...  Burstiness is quantified using a novel metric called overdemand, which describes in a natural way the tendency of a workload to keep a resource congested for long periods of time and across multiple requests  ...  More importantly, it may help address cases where the system uses admission control to schedule jobs on a small pool of server threads, e.g., in enterprise-resource planning (ERP) applications.  ... 
doi:10.1109/tse.2011.58 fatcat:oz7677ymwzfb3pfgexgvxddbiy

Semantic agent-based controls for Service Oriented Architecture (SOA) enabled Intelligent Transportation Systems (ITS)

Shoaib Kamran, Olivier C L Haas
2011 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)  
Further to the multithread solution, JADE also supports scheduling of cooperative behaviours, where JADE schedules these tasks in a light and effective way.  ...  Campus/Enterprise Grids: Consist of multiple cluster grids to achieve computational outcome on a wider scale.  ...  It is also highly efficient in grid and cluster environment making it ideal for distributed systems.  ... 
doi:10.1109/itsc.2011.6083112 dblp:conf/itsc/KamranH11 fatcat:5mulhguh3jcbhjlxucwderdfou

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
One potential solution is to resort to advanced machine learning techniques to help managing the rise in data volumes and algorithm-driven applications.  ...  In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  is a high-level platform for creating programs that run on Apache Hadoop, 29 Oozie is a workflow scheduler system to manage Apache Hadoop jobs, MySQL  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde
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