M. Vijayalakshmi, V.Venkatesa Kumar "Investigations on Job Scheduling Algorithms in Cloud Computing" 2014.IM.Vijayalakshmi, IIV.Venkatesa Kumar "Investigations on Job Scheduling Algorithms in Cloud Computing" International Journal of Advanced Research in Computer Science & Technology (IJARCST 2014) ...
A grid scheduling system should take the various characteristics of grid applications and resources into account. In a grid environment, the resource providers and tasks are all changing constantly, so the traditional scheduling algorithms, e.g. “First Come, First Serve” may not be suitable for...
S. Gomathi, Dr.D.Manimegalai, An Analysis of MIPS Group Based Job Scheduling Algorithm with Other Algorithms in Grid ComputingD.Manimegalai,” An Analysis of MIPS Group Based Job Scheduling Algorithm with other Algorithms - Gomathi - 2011 () Citation Context ...to account. Second, the ...
Xhafa F, Alba E, Dorronsoro B, Duran B (2008a) Efficient batch job scheduling in grids using cellular memetic algorithms. J Math Model Algorithms 7(2):217-236Xhafa, F., Alba, E., Dorronsoro, B., Duran, B.: Efficient batch job scheduling in grids using cellular memetic algorithms. J....
Job shop scheduling with a bank of machines in parallel is important from both theoretical and practical points of review. Here we focus on a flexible job shopKubiak, WieslawFeng, YanlingLi, GuoSethi, SureshSriskandarajah, ChelliahSocial Science Electronic Publishing...
time(the time submit to the system), priority (Perform high priority) and length(the running time of job). In order to improve the throughput(the number of unit time processing jobs) about OS, there are several basic algorithms to solve this problem. They were explained in the following: ...
time(the time submit to the system), priority (Perform high priority) and length(the running time of job). In order to improve the throughput(the number of unit time processing jobs) about OS, there are several basic algorithms to solve this problem. They were explained in the following: ...
combinatorial-optimizationjobshop-schedulingconstraintprogramming UpdatedAug 1, 2023 C++ In the context of optimizing the production of a fully connected "smart" 3d printers factory, machine learning methods like Genetic algorithms, Deep Neural Networks as well as more traditional algorithms like Job-shop...
A variant of the High Multiplicity Multiprocessor Scheduling Problem with C job lengths is considered, in which jobs can be processed only by machines not greater than a given index. When C =2, polynomial algorithms are proposed, for the feasibility version of the problem and for maximizing the...
Among them, genetic algorithms are perhaps the most widely known types of evolutionary algorithms today. During the past years, several GAs for the job-shop scheduling problems have been proposed, each with different chromosome representation. In this paper, the different GAs are collected from the...