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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 …
Next-gen cloud efficiency: fault-tolerant task scheduling with neighboring reservations for improved cloud resource utilization
SU Mushtaq, S Sheikh, SM Idrees - IEEE Access, 2024 - ieeexplore.ieee.org
One of the main goals in any computational system like the cloud is to effectively allocate
resources proficiently for task scheduling. However, the dynamic characteristics of the cloud …
resources proficiently for task scheduling. However, the dynamic characteristics of the cloud …
Optimizing task scheduling and resource utilization in cloud environment: A novel approach combining pattern search with artificial rabbit optimization
The increasing demand for Cloud service with sudden resource requirements of Virtual
Machines (VMs) with different resource types and sizes may create an unbalanced state in …
Machines (VMs) with different resource types and sizes may create an unbalanced state in …
Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review
Task scheduling in cloud computing environment aims to identify alternative methods for
effectively allocating competing cloud tasks to constrained resources, optimizing one or …
effectively allocating competing cloud tasks to constrained resources, optimizing one or …
Improved Dynamic Johnson Sequencing Algorithm (DJS) in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading
This study introduces an innovative approach to optimize cloud computing job distribution
using the Improved Dynamic Johnson Sequencing Algorithm (DJS). Emphasizing on …
using the Improved Dynamic Johnson Sequencing Algorithm (DJS). Emphasizing on …
An enhanced round robin using dynamic time quantum for real-time asymmetric burst length processes in cloud computing environment
Cloud computing is a popular, flexible, scalable, and cost-effective technology in the modern
world that provides on-demand services dynamically. The dynamic execution of user …
world that provides on-demand services dynamically. The dynamic execution of user …
A heuristic task scheduling algorithm in cloud computing environment: an overall cost minimization approach
With the advancement of the cloud computing environment, the users' expectations to gain
better services significantly increased. One of the most prominent parts of cloud systems is …
better services significantly increased. One of the most prominent parts of cloud systems is …
Ripple-induced whale optimization algorithm for independent tasks scheduling on fog computing
Due to the revolution of Internet of Things (IoT), the amount of data generation has been
redoubling, leading to higher latency and network traffic. This has resulted in delays in …
redoubling, leading to higher latency and network traffic. This has resulted in delays in …
Optimizing Hadoop Scheduling in Single-Board-Computer-Based Heterogeneous Clusters
B Qureshi - Computation, 2024 - mdpi.com
Single-board computers (SBCs) are emerging as an efficient and economical solution for fog
and edge computing, providing localized big data processing with lower energy …
and edge computing, providing localized big data processing with lower energy …
Parallel Enhanced Whale Optimization Algorithm for Independent Tasks Scheduling on Cloud Computing
Cloud computing has been imperative for computing systems worldwide since its inception.
The researchers strive to leverage the efficient utilization of cloud resources to execute …
The researchers strive to leverage the efficient utilization of cloud resources to execute …