A review on task scheduling techniques in cloud and fog computing: Taxonomy, tools, open issues, challenges, and future directions
Efficient task scheduling on the cloud is critical for optimal utilization of resources in data
centers. It became even more challenging with the emergence of 5G and IoT applications …
centers. It became even more challenging with the emergence of 5G and IoT applications …
A systematic literature review for load balancing and task scheduling techniques in cloud computing
Cloud computing is an emerging technology composed of several key components that work
together to create a seamless network of interconnected devices. These interconnected …
together to create a seamless network of interconnected devices. These interconnected …
DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing
Task scheduling in cloud paradigm brought attention of all researchers as it is a challenging
issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size …
issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size …
A Pareto-optimality based black widow spider algorithm for energy efficient flexible job shop scheduling problem considering new job insertion
The utilization of flexible job shops is on the rise, driven by the decreasing life cycle of
consumer products. In dynamic flexible job shops, the occurrence of disruptive events like …
consumer products. In dynamic flexible job shops, the occurrence of disruptive events like …
Multi-objective Prioritized Task Scheduler using improved Asynchronous advantage actor critic (a3c) algorithm in multi cloud environment
Task scheduling is a crucial challenge in cloud computing paradigm as variety of tasks with
different runtime processing capacities generated from various heterogeneous devices are …
different runtime processing capacities generated from various heterogeneous devices are …
GEMM, a Genetic Engineering-Based Mutual Model for Resource Allocation of Grid Computing
Resource selection, sharing, and aggregation are the key functions of grid computing.
However, managing the resources in a grid-based environment is a stimulating task. It is …
However, managing the resources in a grid-based environment is a stimulating task. It is …
Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment
Cloud Computing model provides on demand delivery of seamless services to customers
around the world yet single point of failures occurs in cloud model due to improper …
around the world yet single point of failures occurs in cloud model due to improper …
Optimized task scheduling approach with fault tolerant load balancing using multi-objective cat swarm optimization for multi-cloud environment
Multi-cloud environment enables an organization to access services from more than one
cloud service providers the use of multiple cloud computing and it can be treated as single …
cloud service providers the use of multiple cloud computing and it can be treated as single …
Resource allocation with efficient task scheduling in cloud computing using hierarchical auto-associative polynomial convolutional neural network
S Gurusamy, R Selvaraj - Expert Systems with Applications, 2024 - Elsevier
Nowadays, cloud organizations face challenges in managing huge count of data with
various resources due to the prompt expansion of cloud computing (CC) environments with …
various resources due to the prompt expansion of cloud computing (CC) environments with …
Efficient deep reinforcement learning based task scheduler in multi cloud environment
Task scheduling problem (TSP) is huge challenge in cloud computing paradigm as number
of tasks comes to cloud application platform vary from time to time and all the tasks consists …
of tasks comes to cloud application platform vary from time to time and all the tasks consists …