A predictive energy-aware scheduling strategy for scientific workflows in fog computing
Fog computing paradigm provides diverse processing resources and storage close to the
edge of Internet of Things (IoT) networks. Workflow scheduling is an open issue in fog …
edge of Internet of Things (IoT) networks. Workflow scheduling is an open issue in fog …
Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms.
Cloud Computing has the ability to provide on-demand access to a shared resource pool. It
has completely changed the way businesses are managed, implement applications, and …
has completely changed the way businesses are managed, implement applications, and …
An efficient combination of genetic algorithm and particle swarm optimization for scheduling data-intensive tasks in heterogeneous cloud computing
K Shao, H Fu, B Wang - Electronics, 2023 - mdpi.com
Task scheduling is still an open issue for improving the performance of cloud services.
Focusing on addressing the issue, we first formulate the task-scheduling problem of …
Focusing on addressing the issue, we first formulate the task-scheduling problem of …
A new hybrid multi-objective optimization algorithm for task scheduling in cloud systems
Nowadays, cloud computing is widely used in various fields and is booming day by day with
different services offered to users according to their needs and contracts. However, this has …
different services offered to users according to their needs and contracts. However, this has …
Enhancing Cloud Task Scheduling with Multi-Objective Optimization Using K-Means Clustering and Dynamic Resource Allocation
J Lwin - Journal of Computing Theories and Applications, 2024 - dl.futuretechsci.org
The scheduling and resource allocation procedure is an essential component of cloud
resource management. Effective resource allocation is severely hampered by the task arrival …
resource management. Effective resource allocation is severely hampered by the task arrival …
An improved beluga whale optimization using ring topology for solving multi-objective task scheduling in cloud
To enhance cloud system performance and customer satisfaction levels, task scheduling
must be addressed in the system. Beluga Whale Optimization (BWO) is a metaheuristic …
must be addressed in the system. Beluga Whale Optimization (BWO) is a metaheuristic …
Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm
Effective workflow scheduling in cloud computing is still a challenging problem as incoming
workflows to cloud console having variable task processing capacities and dependencies as …
workflows to cloud console having variable task processing capacities and dependencies as …
A chaos opposition‐based dwarf mongoose approach for workflow scheduling in cloud
Cloud computing (CC) systems are a form of public infrastructure that has been in use since
its beginnings. In such technologies, clients can access current services according to their …
its beginnings. In such technologies, clients can access current services according to their …
Adaptive Guided Differential Evolution‐based Slime Mould Algorithm‐based efficient Multi‐objective Task Scheduling for Cloud Computing Environments
Abstract In a Cloud Computing (CC) environment, users are charged based on on‐demand
resource utilization and expected Quality of Service (QoS). Multi‐Objective‐based Task …
resource utilization and expected Quality of Service (QoS). Multi‐Objective‐based Task …
A novel hybrid multi-resource load balancing approach using ant colony optimization with Tabu search for cloud computing
Cloud computing has become an increasingly important way to process large and complex
jobs and services. A powerful scheduler for cloud users' workloads must serve millions of …
jobs and services. A powerful scheduler for cloud users' workloads must serve millions of …