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Job scheduling in cloud computing using a modified harris hawks optimization and simulated annealing algorithm
In recent years, cloud computing technology has attracted extensive attention from both
academia and industry. The popularity of cloud computing was originated from its ability to …
academia and industry. The popularity of cloud computing was originated from its ability to …
Task scheduling in a cloud computing environment using HGPSO algorithm
AM Senthil Kumar, M Venkatesan - Cluster Computing, 2019 - Springer
Cloud computing delivers computing resources like software and hardware as a service to
the users through a network. The main idea of cloud computing is to share the tremendous …
the users through a network. The main idea of cloud computing is to share the tremendous …
[PDF][PDF] Load balancing optimization based on deep learning approach in cloud environment
Load balancing is a significant aspect of cloud computing which is essential for identical
load sharing among resources like servers, network interfaces, hard drives (storage) and …
load sharing among resources like servers, network interfaces, hard drives (storage) and …
A recent review and a taxonomy for multimedia application in Mobile cloud computing based energy efficient transmission
The mobile devices have entered the race of deploying high tech to the users but inherit a
defect of limited battery storage. With the limitationof battery capacity, energy efficiency has …
defect of limited battery storage. With the limitationof battery capacity, energy efficiency has …
Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm
N Jagadish Kumar… - Journal of Intelligent & …, 2023 - content.iospress.com
In a cloud computing system, resources can be accessed at a minimal cost whenever users
raise request needs. The primary goal of cloud computing is to provide cost-efficiency of …
raise request needs. The primary goal of cloud computing is to provide cost-efficiency of …
Resource and cost aware glowworm mapreduce optimization based big data processing in geo distributed data center
Handling large data in geographically distributed information centers with resource and cost
optimization is a key challenge. With several approaches being designed, handling a large …
optimization is a key challenge. With several approaches being designed, handling a large …
Multi-Objective Task Scheduling in Cloud Environments using Dynamic Velocity-Adaptive Particle Swarm Optimization
In the realm of cloud computing, tackling the multi-objective task scheduling problem means
finding the best way to assign tasks to virtual machines, taking into account conflicting goals …
finding the best way to assign tasks to virtual machines, taking into account conflicting goals …
Optimizing Load Balancing using Deep Learning in a Cloud Environment
In the context of cloud computing, this research emphasizes how deep learning methods
have been used into load balancing. Traditionally, load balancing methods have been …
have been used into load balancing. Traditionally, load balancing methods have been …
Optimization of task scheduling in cloud computing using the RAO-3 algorithm
Cloud computing provides computer resources such as hardware and software as a service
to consumers over a network. The primary idea of cloud computing is to distribute massive …
to consumers over a network. The primary idea of cloud computing is to distribute massive …
Optimized mechanism for allocating resources in a cloud environment using frog and crow optimization algorithm
Cloud computing resource allocation is a process of Allocating and managing computer
resources, such as virtual machines, storage, network bandwidth, and other computing …
resources, such as virtual machines, storage, network bandwidth, and other computing …