GWO-based simulated annealing approach for load balancing in cloud for hosting container as a service

MK Patra, S Misra, B Sahoo, AK Turuk - Applied Sciences, 2022 - mdpi.com
Container-based virtualization has gained significant popularity in recent years because of
its simplicity in deployment and adaptability in terms of cloud resource provisioning …

Flow optimization strategies in data center networks: A survey

Y Liu, T Yu, Q Meng, Q Liu - Journal of Network and Computer Applications, 2024 - Elsevier
In the era of digitization, Data Center Networks (DCN) have emerged as a critical component
supporting infrastructure for cloud computing, big data analytics, online services, and more …

Edasvic: Enabling efficient and dynamic storage verification for clouds of industrial internet platforms

H Yu, H Zhang, Z Yang, S Yu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Industrial Internet platforms (IIP) can provide many intelligent services based on the
industrial big data stored in clouds. However, the vulnerability of cloud storage can cause …

VMMISD: An Efficient Load Balancing Model for Virtual Machine Migrations via Fused Metaheuristics With Iterative Security Measures and Deep Learning …

MG Brahmam, RV Anand - IEEE Access, 2024 - ieeexplore.ieee.org
As cloud computing continues to evolve, the need for efficient and secure management of
virtual machine (VM) migrations has become increasingly evident. Traditional models often …

A bilateral game approach for task outsourcing in multi-access edge computing

Z Tong, X Deng, Z Xiao, D He… - … on Network and …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is a promising architecture to provide low-latency
applications for future Internet of Things (IoT)-based network systems. Together with the …

Deadline-aware cost and energy efficient offloading in mobile edge computing

M Kumar, A Kishor, PK Singh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid advancement of mobile edge computing (MEC) has revolutionized the distributed
computing landscape. With the help of MEC, the traditional centralized cloud computing …

Data transmission optimization based on multi-objective deep reinforcement learning

C Wang, X Li, J Tian, Y Yin - The Computer Journal, 2024 - academic.oup.com
Simultaneously reducing network energy consumption and delay is a hot topic today. This
paper addresses this issue by designing a novel multi-objective data transmission …

Linearized Data Center Workload and Cooling Management

S Rostami, DG Down… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the current high levels of energy consumption of data centers, reducing power
consumption by even a small percentage is beneficial. We propose a framework for thermal …

Day‐ahead operation strategy for multiple data centre prosumers: A cooperative game approach

Z Yang, H Liu, M Ni - IET Renewable Power Generation, 2023 - Wiley Online Library
The transferrable characteristics of workloads both spatial and temporal have received much
attention recently. A data centre prosumer (DCP) is created by combining multiple data …

Complexity and Monitoring of Economic Operations Using a Game-Theoretic Model for Cloud Computing

P Hema, NRR Paul, L Čepová, B Khan, K Kumar… - Systems, 2023 - mdpi.com
In this study, a model is presented for allocating cloud computing resources based on
economic considerations using tools from game theory. The model, called the Non …