[HTML][HTML] Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers

U Arshad, M Aleem, G Srivastava, JCW Lin - Renewable and Sustainable …, 2022 - Elsevier
Cloud Computing services can be accessed anytime, anywhere via the Internet. The
overwhelming growth of cloud data centers over the past decade has increased their costs …

Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning

B Kruekaew, W Kimpan - IEEE Access, 2022 - ieeexplore.ieee.org
Workload balancing in cloud computing is still challenging problem, especially in
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …

Optimal data placement strategy considering capacity limitation and load balancing in geographically distributed cloud

C Li, Q Cai, Y Lou - Future Generation Computer Systems, 2022 - Elsevier
At present, the amount of data from users is increasing exponentially, and most of the data is
stored in data centers distributed in different geographic locations. The cost of transferring …

A Review on Task Scheduling Techniques in Cloud and Fog Computing: Taxonomy, Tools, Open Issues, Challenges, and Future Directions

ZA Khan, IA Aziz, NAB Osman - IEEE Access, 2023 - ieeexplore.ieee.org
Efficient task scheduling on the cloud is critical for optimal utilization of resources in data
centers. It became even more challenging with the emergence of 5G and IoT applications …

PSO-RDAL: Particle swarm optimization-based resource-and deadline-aware dynamic load balancer for deadline constrained cloud tasks

S Nabi, M Ahmed - The Journal of Supercomputing, 2022 - Springer
Cloud computing is an Internet-provisioned computing paradigm that provides scalable
resources for the execution of the end user's tasks. The cloud users lease optimal resources …

DRALBA: Dynamic and resource aware load balanced scheduling approach for cloud computing

S Nabi, M Ibrahim, JM Jimenez - IEEE Access, 2021 - ieeexplore.ieee.org
For the last few years, Cloud computing has been considered an attractive high-
performance computing platform for individuals as well as organizations. The Cloud service …

Scheduling algorithms for heterogeneous cloud environment: main resource load balancing algorithm and time balancing algorithm

W Lin, G Peng, X Bian, S Xu, V Chang, Y Li - Journal of Grid Computing, 2019 - Springer
Cloud computing and Internet of Things (IoT) are two of the most important technologies that
have significantly changed human's life. However, with the growing prevalence of Cloud-IoT …

GoCJ: Google cloud jobs dataset for distributed and cloud computing infrastructures

A Hussain, M Aleem - Data, 2018 - mdpi.com
Developers of resource-allocation and scheduling algorithms share test datasets (ie,
benchmarks) to enable others to compare the performance of newly developed algorithms …

An in-depth empirical investigation of state-of-the-art scheduling approaches for cloud computing

M Ibrahim, S Nabi, A Baz, H Alhakami, MS Raza… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, Cloud computing has emerged as one of the widely used platforms to provide
compute, storage and analytics services to end-users and organizations on a pay-as-you …

A predictive priority-based dynamic resource provisioning scheme with load balancing in heterogeneous cloud computing

M Sohani, SC Jain - IEEE access, 2021 - ieeexplore.ieee.org
In cloud computing, resource provisioning is a key challenging task due to dynamic resource
provisioning for the applications. As per the workload requirements of the application's …