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A Cost-Efficient Job Scheduling Algorithm in Cloud Resource Broker with Scalable VM Allocation Scheme
클라우드 자원 브로커에서 확장성 있는 가상 머신 할당 기법을 이용한 비용 적응형 작업 스케쥴링 알고리즘
2012
KIPS Transactions on Software and Data Engineering
클라우드 자원 브로커에서 확장성 있는 가상 머신 할당 기법을 이용한 비용 적응형 작업 스케쥴링 알고리즘
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To optimize this process with automated method, in this paper we proposed a framework for workflow scheduling in the cloud environment, in which the core component is the middleware called broker mediating ...
Cloud service users request dedicated virtual computing resource from the cloud service provider to process jobs in independent environment from other users. ...
In future work, we will upgrade the application model in these experiments from individual jobs to interdependent workflow jobs and define formal SLA description for the users and find solutions for translating ...
doi:10.3745/ktsde.2012.1.3.137
fatcat:i4tuqxlbtrecxgrujcwhzifyjy
An Approach to Problem-oriented Interfaces for Applications in Distributed Computing Systems
2015
Procedia Computer Science
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As part of this work, a software platform has been developed for the formation of problem-oriented interfaces for application software packages and components of distributed computing systems. ...
in their work. ...
The aim of this work is to develop a software platform that can generate a user interface for an application package, thus solving a whole spectrum of problems related to computational operations in HPC ...
doi:10.1016/j.procs.2015.11.052
fatcat:kckznu5xsnchpljtd5tlwce33m
Load Balancing Approaches in Grid Computing Environment
2013
International Journal of Computer Applications
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This paper attempts to provide a comprehensive overview of load balancing in grid computing environment and also analyses the job distribution and system behavior. ...
Furthermore, this survey various load balancing algorithms for the grid computing environment, identify several comparison metrics for the load balancing algorithms and carry out the comparison based on ...
The tentative list of software tools with a
small description for computational grid environment is given
in table 1.
Table 1. ...
doi:10.5120/12549-9185
fatcat:rnk7rrbmejbnvjb6ow57lckjxi
Communication complexity in high-speed distributed computer network in an agent based architecture for grids service
2018
International Journal of Advanced Computer Research
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This paper focus on the model, simulation and evaluation of an agent-based management of computational resources in grid environment architecture. ...
The main contribution of this work consists in the development of a model with an agent-based architecture for managing computer resources each with defined operations so that the user can perform tasks ...
Acknowledgment We thank the Center for Parallel and Distributed Computing of Central University of Venezuela (CCPD-UCV) for their support in the development of this research. ...
doi:10.19101/ijacr.2018.836002
fatcat:d76enr6wubcj5arw3dotizlujy
Dynamic Jobshop Scheduling Algorithm based on Deep Q Network
2021
IEEE Access
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The TD has a wider application scope than the MCM and is better suited to solving decisionmaking problems in dynamic environments. ...
TABLE I PROBLEM I DESCRIPTION PARAMETER SET
Parameter
Parameter Description
Total number of jobs
,
Job index， , = [1,2, … , ]
Total number of machines
kth machine
, ℎ
Machine index， , ℎ = [1,2 ...
doi:10.1109/access.2021.3110242
fatcat:ocqtw4prwfbsnlgnnoz7wesgo4
CHPS: An Environment for Collaborative Execution on Heterogeneous Desktop Systems
2011
International Journal of Networking and Computing
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The data and task level parallelism is exploited for both types of processors by relying on the task description scheme defined by the proposed environment. ...
In particular, the proposed environment is able to use the different native programming models according to the device type, e.g., the application processing interfaces such as OpenMP for the CPU and Compute ...
At this point it is worth to emphasize the ability to express the task dependencies using the above-mentioned task description scheme in the proposed environment. ...
doi:10.15803/ijnc.1.1_96
fatcat:ck2brgwtqfcjbfwdfobpkloypy
Real-Time Data Scheduling of Flexible Job in Papermaking Workshop Based on Deep Learning and Improved Fuzzy Algorithm
2021
Mobile Information Systems
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The algorithm is divided into three parts: the first part describes the flexible job shop scheduling problem; the second part constructs the fuzzy scheduling model of flexible job data in papermaking workshop ...
The results show that the optimal solution is obtained in 48 seconds at the 23rd attempt (iteration) under the application of the proposed method. ...
algorithms. e traditional operations research method proposed in literature [2] solves the problem by establishing a mathematical model, which is generally only applicable to small scale scheduling ...
doi:10.1155/2021/9930740
fatcat:jfgp3c5g4nehnehqdoxr4v4svq
Grid-Enabled Optimization with GAMS
2009
INFORMS journal on computing
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We describe a framework for modeling optimization problems for solution on a grid computer. ...
We provide downloadable examples of its use for embarrasingly parallel nancial applications, decomposition and iterative algorithms and for solving very dicult mixed integer programs to optimality. ...
The GAMS grid facility allows multiple optimization problems to be instantiated or generated from a given set of models. Each of these problems is solved concurrently on a grid computing environment. ...
doi:10.1287/ijoc.1090.0340
fatcat:xglkvyuymnhsnf2oir7segwgm4
STATIC AND DYNAMIC RESOURCE ALLOCATION STRATEGIES IN HIGH PERFORMANCE HETEROGENEOUS COMPUTING APPLICATION
2018
International Journal of Advanced Research in Computer Science
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But this results in huge increase in size of computing environment which makes it very difficult to measure the performance of allocation strategies that use the description of underlying infrastructure ...
In this paper we will try to define a hybrid scheme for resource allocation that will use the positive features of both schemes to give better performance. ...
Major problem is to achieve a perfect load balance and can be solved by partitioning a square into rectangles of fixed area. This problem has been already studied in [15] , [16] , [17] . ...
doi:10.26483/ijarcs.v9i1.5265
fatcat:vx5n5anrrvctfllrqcijryk6ke
Real-time order acceptance and scheduling problems in a flow shop environment using hybrid GA-PSO algorithm
2019
IEEE Access
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This paper presents a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) to solve the considered problem. ...
in academia due to the complexity of the problem. ...
Following this, a description of the procedure of implementing GA and PSO algorithm for the hybrid GA-PSO algorithm for solving realtime multiple order PFSPs is described. ...
doi:10.1109/access.2019.2935375
fatcat:xladfimcqzexzf42m2ss6mycnm
A classification scheme for agent based approaches to dynamic optimization
2012
Artificial Intelligence Review
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Several papers in the literature employ agent-based modeling approach for providing reasonable solutions to dynamic optimization problems (DOPs). ...
This paper also analyzes 18 generic studies in the literature employing agent-based modeling based on ABDOPSS. ...
Researchers proposed to solve this optimization problem in a distributed fashion by using multiple agents. ...
doi:10.1007/s10462-011-9307-x
pmid:32214594
pmcid:PMC7087711
fatcat:vlpaflij5fedfiuwgat65jkxrq
Loosely-coupled loop scheduling in computational grids
2006
Proceedings 20th IEEE International Parallel & Distributed Processing Symposium
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The efficiency of this approach to solve the Mandelbrot set problem is analyzed in a Globus-based research testbed. ...
To overcome these limitations, we propose a new approach to implement loop distribution schemes in computational Grids. ...
Conclusions In this work, we have presented the implementation of loosely-coupled loop scheduling algorithms in a Grid environment based on DRMAA standard. ...
doi:10.1109/ipdps.2006.1639657
dblp:conf/ipps/HerreraHML06
fatcat:4gl74cce35c4nk2cl7kep5mrx4
A Two-stage Framework for the Multi-user Multi-data center Job Scheduling and Resource Allocation
2020
IEEE Access
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ACKNOWLEDGMENT The work presented in this paper was supported by National Natural Science Foundation of China (61772145, 61672174). Delong Cui and Zhiping Peng are corresponding authors. ...
[11, 12] combined RL and queue theory to solve task scheduling and resource allocation problems in complex cloud environments, cleverly transforming a scheduling problem to a sequence decision problem ...
DRL has been used to solve cloud job scheduling and resource allocation problems. ...
doi:10.1109/access.2020.3033557
fatcat:mnirwjrxpjghpaemhf5kkxatoe
A Multi-Optimization Technique for Improvement of Hadoop Performance with a Dynamic Job Execution Method Based on Artificial Neural Network
2020
SN Computer Science
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We test the overall scheme among Amazon EC2 and S3, and show the results of throughput and CPU response time for different data sizes. ...
Specifically, we present an improved ant colony optimization method to schedule jobs according to the job size and the time expected for execution. ...
Experimental Environment The experimental environment included a separate Improved Hadoop model for each given application. The software description for Improved Hadoop is illustrated in Table 1 . ...
doi:10.1007/s42979-020-00182-3
fatcat:q3bl2k7g75fphhvwldjxoiq4ya
Optimization of Multi-item Operation Sequences and Batch Size for Non-Parallel Capacitated Machines: A Case Study
2017
International Journal of Performability Engineering
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Current work presents a case study that simultaneously addresses the classical problem of job sequencing and batch sizing in a manufacturing firm. ...
A simulation based Genetic Algorithm (GA) approach is thus used to solve this optimization problem. ...
Acknowledgement Authors acknowledge the support provided by the AVTEC Private Limited, India for sharing the data and knowledge for this work. ...
doi:10.23940/ijpe.17.05.p1.557568
fatcat:ndxqq52afjab7cnmzl4ppaimam
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