Computational models and heuristic methods for Grid scheduling problems
In this paper we survey computational models for Grid scheduling problems and their
resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the …
resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the …
A novel multi-objective bacteria foraging optimization algorithm (MOBFOA) for multi-objective scheduling
M Kaur, S Kadam - Applied Soft Computing, 2018 - Elsevier
In grid and cloud computing environment, many users compete for the resources, so the
schedule should be generated in the shortest possible time. To address this problem, there …
schedule should be generated in the shortest possible time. To address this problem, there …
A survey on scheduling algorithms for parallel and distributed systems
R Tyagi, SK Gupta - Silicon Photonics & High Performance Computing …, 2018 - Springer
Task scheduling plays a vital role in distributed computing. It enhances the performance of
the system as it minimizes the overall execution time and reduces overhead problems like …
the system as it minimizes the overall execution time and reduces overhead problems like …
Hybrid meta-heuristic algorithms for independent job scheduling in grid computing
The term 'grid computing'is used to describe an infrastructure that connects geographically
distributed computers and heterogeneous platforms owned by multiple organizations …
distributed computers and heterogeneous platforms owned by multiple organizations …
A meta-heuristic optimization approach to the scheduling of bag-of-tasks applications on heterogeneous clouds with multi-level arrivals and critical jobs
IA Moschakis, HD Karatza - Simulation Modelling Practice and Theory, 2015 - Elsevier
As cloud computing evolves, it is becoming more and more apparent that the future of this
industry lies in interconnected cloud systems where resources will be provided by multiple …
industry lies in interconnected cloud systems where resources will be provided by multiple …
A GA (TS) hybrid algorithm for scheduling in computational grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone
heuristics in order to achieve better results for the optimization problem under study. In this …
heuristics in order to achieve better results for the optimization problem under study. In this …
Combining heuristics to optimize and scale the placement of iot applications in the fog
As fog computing brings processing and storage resources to the edge of the network, there
is an increasing need of automated placement (ie, host selection) to deploy distributed …
is an increasing need of automated placement (ie, host selection) to deploy distributed …
A hybrid ac3-tabu search algorithm for solving sudoku puzzles
The Sudoku problem consists in filling a n2× n2 grid so that each column, row and each one
of the n× n sub-grids contain different digits from 1 to n2. This is a non-trivial problem, known …
of the n× n sub-grids contain different digits from 1 to n2. This is a non-trivial problem, known …
[图书][B] Evolutionary hierarchical multi-criteria metaheuristics for scheduling in large-scale grid systems
J Kołodziej - 2012 - books.google.com
One of the most challenging issues in modelling today's large-scale computational systems
is to effectively manage highly parametrised distributed environments such as computational …
is to effectively manage highly parametrised distributed environments such as computational …
A new approach to the job scheduling problem in computational grids
J Akbari Torkestani - Cluster Computing, 2012 - Springer
Job scheduling is one of the most challenging issues in Grid resource management that
strongly affects the performance of the whole Grid environment. The major drawback of the …
strongly affects the performance of the whole Grid environment. The major drawback of the …