[HTML][HTML] Load balancing techniques in cloud computing environment: A review
Cloud Computing is a robust model that allows users and organizations to purchase
required services per their needs. The model offers many services such as storage …
required services per their needs. The model offers many services such as storage …
[HTML][HTML] Dynamic load balancing techniques in the IoT: A review
D Kanellopoulos, VK Sharma - Symmetry, 2022 - mdpi.com
The Internet of things (IoT) extends the Internet space by allowing smart things to sense
and/or interact with the physical environment and communicate with other physical objects …
and/or interact with the physical environment and communicate with other physical objects …
esDNN: deep neural network based multivariate workload prediction in cloud computing environments
Cloud computing has been regarded as a successful paradigm for IT industry by providing
benefits for both service providers and customers. In spite of the advantages, cloud …
benefits for both service providers and customers. In spite of the advantages, cloud …
Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning
L Cheng, A Kalapgar, A Jain, Y Wang, Y Qin… - Neural Computing and …, 2022 - Springer
Hybrid cloud computing enables enterprises to get the best of both private and public cloud
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …
[HTML][HTML] A systematic literature Review: Risk analysis in cloud migration
The era of the industrial revolution 4.0 was an era marked by the transition of information
and communication technology that was able to create new technology-based investments …
and communication technology that was able to create new technology-based investments …
Chaotic-nondominated-sorting owl search algorithm for energy-aware multi-workflow scheduling in hybrid clouds
H Li, G Xu, D Wang, MC Zhou, Y Yuan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Since a single private cloud cannot satisfy the increasing computational requirements for
executing multiple workflows simultaneously, hybrid clouds are often adopted to perform …
executing multiple workflows simultaneously, hybrid clouds are often adopted to perform …
Novel workload-aware approach to mobile user reallocation in crowded mobile edge computing environment
A mobile edge computing (MEC) paradgim is evolving as an increasingly popular means for
developing and deploying smart-city-oriented applications. MEC servers can receive a great …
developing and deploying smart-city-oriented applications. MEC servers can receive a great …
Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence
The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …
efficient resource management systems. Resource provisioning and scheduling are two …
Weighted double deep Q-network based reinforcement learning for bi-objective multi-workflow scheduling in the cloud
H Li, J Huang, B Wang, Y Fan - Cluster Computing, 2022 - Springer
As a promising distributed paradigm, cloud computing provides a cost-effective deploying
environment for hosting scientific applications due to its provisioning elastic, heterogeneous …
environment for hosting scientific applications due to its provisioning elastic, heterogeneous …
Firefly algorithm and learning-based geographical task scheduling for operational cost minimization in distributed green data centers
Abstract Green Data Centers (GDCs) are more and more deployed world-wide. They
integrate many renewable sources to provide clean power and decrease their operating …
integrate many renewable sources to provide clean power and decrease their operating …