[Retracted] Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues

M Maray, J Shuja - Mobile Information Systems, 2022 - Wiley Online Library
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review

R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing

W Shu, K Cai, NN Xiong - Future Generation Computer Systems, 2021 - Elsevier
Virtualization technology provides a new way to improve resource utilization and cloud
service throughput. However, the randomness of task arrival, tight coupling between …

[HTML][HTML] A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning

S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …

[HTML][HTML] Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing

P Pirozmand, AAR Hosseinabadi, M Farrokhzad… - Neural computing and …, 2021 - Springer
The cloud computing systems are sorts of shared collateral structure which has been in
demand from its inception. In these systems, clients are able to access existing services …

Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time

Y Han, J Li, H Sang, Y Liu, K Gao, Q Pan - Applied Soft Computing, 2020 - Elsevier
Sustainable scheduling problems have been attracted great attention from researchers. For
the flow shop scheduling problems, researches mainly focus on reducing economic costs …

A novel load balancing and low response delay framework for edge-cloud network based on SDN

Y Liu, Z Zeng, X Liu, X Zhu… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
For the cloud computing based on software-defined networks (SDNs), a larger amount of
data is collected to cloud for analysis, which will cause the larger amount of redundancy …

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach

F Song, H Xing, X Wang, S Luo, P Dai, K Li - Future Generation Computer …, 2022 - Elsevier
This paper studies the problem of offloading an application consisting of dependent tasks in
multi-access edge computing (MEC). This problem is challenging because multiple …

Swarm intelligence for next-generation networks: Recent advances and applications

QV Pham, DC Nguyen, S Mirjalili, DT Hoang… - Journal of Network and …, 2021 - Elsevier
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …

A cost and energy efficient task scheduling technique to offload microservices based applications in mobile cloud computing

A Ali, MM Iqbal - IEEE Access, 2022 - ieeexplore.ieee.org
The number of smartphone users and mobile devices has increased significantly. The
Mobile Cloud Applications based on cloud computing have also been increased. The …