[HTML][HTML] A review of metaheuristic scheduling techniques in cloud computing
Cloud computing has become a buzzword in the area of high performance distributed
computing as it provides on-demand access to shared pool of resources over Internet in a …
computing as it provides on-demand access to shared pool of resources over Internet in a …
A review of task scheduling based on meta-heuristics approach in cloud computing
P Singh, M Dutta, N Aggarwal - Knowledge and Information Systems, 2017 - Springer
Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …
computationally intensive applications. Cloud computing in this context describes a …
Evolutionary algorithms to optimize task scheduling problem for the IoT based bag-of-tasks application in cloud–fog computing environment
In recent years, constant developments in Internet of Things (IoT) generate large amounts of
data, which put pressure on Cloud computing's infrastructure. The proposed Fog computing …
data, which put pressure on Cloud computing's infrastructure. The proposed Fog computing …
Low-time complexity and low-cost binary particle swarm optimization algorithm for task scheduling and load balancing in cloud computing
JPB Mapetu, Z Chen, L Kong - Applied Intelligence, 2019 - Springer
With the increasing large number of cloud users, the number of tasks is growing
exponentially. Scheduling and balancing these tasks amongst different heterogeneous …
exponentially. Scheduling and balancing these tasks amongst different heterogeneous …
Chemical reaction optimization for task scheduling in grid computing
For the low-cost hardware-based intrusion detection systems, this paper proposes a memory-
efficient parallel string matching scheme. In order to reduce the number of state transitions …
efficient parallel string matching scheme. In order to reduce the number of state transitions …
Ba-PSO: A Balanced PSO to solve multi-objective grid scheduling problem
Ankita, SK Sahana - Applied Intelligence, 2022 - Springer
In a computational grid, environment is dynamic in nature and has distributed resources
spread across multiple administrative domains. Therefore, it becomes necessary to provide …
spread across multiple administrative domains. Therefore, it becomes necessary to provide …
An efficient meta-heuristic algorithm for grid computing
A grid computing system consists of a group of programs and resources that are spread
across machines in the grid. A grid system has a dynamic environment and decentralized …
across machines in the grid. A grid system has a dynamic environment and decentralized …
Distributed job scheduling based on Swarm Intelligence: A survey
Scientists and engineers need computational power to satisfy the increasing resource
intensive nature of their simulations. For example, running Parameter Sweep Experiments …
intensive nature of their simulations. For example, running Parameter Sweep Experiments …
Multi-objective workflow grid scheduling using -fuzzy dominance sort based discrete particle swarm optimization
R Garg, AK Singh - The Journal of Supercomputing, 2014 - Springer
With the rapid development of networking technology, grid computing has emerged as a
source for satisfying the increasing demand of the computing power of scientific computing …
source for satisfying the increasing demand of the computing power of scientific computing …
Cloudlet scheduling with particle swarm optimization
HS Al-Olimat, M Alam, R Green… - 2015 Fifth International …, 2015 - ieeexplore.ieee.org
Cloud computing is a particularly interesting and truly complex concept of providing services
over networks on demand. Many tools have previously been created to simulate the work of …
over networks on demand. Many tools have previously been created to simulate the work of …