[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 …
mobile applications. In particular, mobile edge computing enables a computing and storage …
Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
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 …
on-demand service, and security. A large number of tasks are performed simultaneously in a …
Mobility-aware computational offloading in mobile edge networks: a survey
Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …
other handheld devices have come up with the emergence of different user applications in …
Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment
N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …
computing resources. Task scheduling in the cloud system is the major problem that needs …
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 …
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems
Cloud computing is undeniably becoming the main computing and storage platform for
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …
A novel multi-objective CR-PSO task scheduling algorithm with deadline constraint in cloud computing
K Dubey, SC Sharma - Sustainable Computing: Informatics and Systems, 2021 - Elsevier
In cloud computing, efficient task scheduling espouses many challenges. To schedule the
multiple cloudlets with deadline constraints on hybrid cloud resources while meeting the …
multiple cloudlets with deadline constraints on hybrid cloud resources while meeting the …
IoT workflow scheduling using intelligent arithmetic optimization algorithm in fog computing
Instead of the cloud, the Internet of things (IoT) activities are offloaded into fog computing to
boost the quality of services (QoSs) needed by many applications. However, the availability …
boost the quality of services (QoSs) needed by many applications. However, the availability …
[HTML][HTML] Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm
X Guo - Alexandria Engineering Journal, 2021 - Elsevier
A cloud computing multi-objective task scheduling optimization based on fuzzy self-defense
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …
User mobility aware task assignment for mobile edge computing
Abstract Mobile Edge Computing (MEC) has emerged as a prospective computing paradigm
to provide pervasive computing and storage services for mobile and big data applications. In …
to provide pervasive computing and storage services for mobile and big data applications. In …