[HTML][HTML] A review on job scheduling technique in cloud computing and priority rule based intelligent framework
In recent years, the concept of cloud computing has been gaining traction to provide
dynamically increasing access to shared computing resources (software and hardware) via …
dynamically increasing access to shared computing resources (software and hardware) via …
Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning
B Kruekaew, W Kimpan - IEEE Access, 2022 - ieeexplore.ieee.org
Workload balancing in cloud computing is still challenging problem, especially in
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …
[HTML][HTML] Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
[HTML][HTML] Multi Objective Trust aware task scheduling algorithm in cloud computing using Whale Optimization
Task Scheduling is an enormous challenge in cloud computing model as to map diverse
tasks arises from various sources there should be an efficient scheduling mechanism which …
tasks arises from various sources there should be an efficient scheduling mechanism which …
An automated task scheduling model using non-dominated sorting genetic algorithm II for fog-cloud systems
Processing data from Internet of Things (IoT) applications at the cloud centers has known
limitations relating to latency, task scheduling, and load balancing. Hence, there have been …
limitations relating to latency, task scheduling, and load balancing. Hence, there have been …
Research on cloud computing adaptive task scheduling based on ant colony algorithm
H Liu - Optik, 2022 - Elsevier
In order to solve the shortcomings of ant colony algorithm in solving large-scale task
scheduling problems in cloud computing, the convergence speed is slow and easy to fall …
scheduling problems in cloud computing, the convergence speed is slow and easy to fall …
A deep reinforcement learning-based preemptive approach for cost-aware cloud job scheduling
With some specific characteristics such as elastics and scalability, cloud computing has
become the most promising technology for online business nowadays. However, how to …
become the most promising technology for online business nowadays. However, how to …
Quantum inspired meta-heuristic approach for optimization of genetic algorithm
V Ganesan, M Sobhana, G Anuradha… - Computers & Electrical …, 2021 - Elsevier
An optimization search technique evaluates the potential solution and frames the better
solution by any of its befitting categories such as quantum-based approaches, meta …
solution by any of its befitting categories such as quantum-based approaches, meta …
Growable Genetic Algorithm with Heuristic-based Local Search for multi-dimensional resources scheduling of cloud computing
Abstract Multi-Dimensional Resources Scheduling Problem (MDRSP, usually a multi-
objective optimization problem) has attracted focus in the management of large-scale cloud …
objective optimization problem) has attracted focus in the management of large-scale cloud …
Multi-search-routes-based methods for minimizing makespan of homogeneous and heterogeneous resources in Cloud computing
Cloud computing, as a large-scale distributed computing system dynamically providing
elastic services, is designed to meet the requirement of delivering computing services to …
elastic services, is designed to meet the requirement of delivering computing services to …