Load balancing of IoT tasks in the cloud computing by using sparrow search algorithm

OY Abdulhammed - The Journal of Supercomputing, 2022 - Springer
IoT is one of the most important technologies that are used over the past few years, where
everything is connected to the Internet; it is used in many fields; one of these fields is …

Renewable energy-aware big data analytics in geo-distributed data centers with reinforcement learning

C Xu, K Wang, P Li, R **a, S Guo… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In the age of big data, companies tend to deploy their services in data centers rather than
their own servers. The demands of big data analytics grow significantly, which leads to an …

Load balance based workflow job scheduling algorithm in distributed cloud

C Li, J Tang, T Ma, X Yang, Y Luo - Journal of Network and Computer …, 2020 - Elsevier
As the scale of the geo-distributed cloud increases and the workflow applications become
more complex, the system operation is more likely to cause the waste of resources and …

Renewable energy-based resource management in cloud computing: a review

SK Nayak, SK Panda, S Das - Advances in Distributed Computing and …, 2020 - Springer
Energy conservation is one of the most challenging problems in cloud datacenters. It is
produced using fossil fuels, especially coal, gas, orimulsion and petroleum, and the cost of …

Interval-valued fuzzy logic approach for overloaded hosts in consolidation of virtual machines in cloud computing

BMP Moura, GB Schneider, AC Yamin, H Santos… - Fuzzy Sets and …, 2022 - Elsevier
Dynamic consolidation of virtual machines (VMs) is an effective way to improve resource
utilization and power efficiency in cloud computing. For example, determining when it is best …

A deep reinforcement learning approach to resource management in hybrid clouds harnessing renewable energy and task scheduling

J Zhao, MA Rodríguez, R Buyya - 2021 IEEE 14th International …, 2021 - ieeexplore.ieee.org
The use of cloud computing for delivering application services over the Internet has gained
rapid traction. Since the beginning of the COVID-19 global pandemic, the work from home …

Energy-efficient fuzzy data offloading for IoMT

N Singh, AK Das - Computer Networks, 2022 - Elsevier
The advancement of Internet of Things based technologies in healthcare monitoring systems
has evolved a new terminology, named Internet of Medical Things for medical services and …

Hybrid lion–GA optimization algorithm-based task scheduling approach in cloud computing

K Malathi, K Priyadarsini - Applied Nanoscience, 2023 - Springer
This research work inquiries to design the load balancer algorithm for cloud computing by
exploring the merits of heuristic techniques. Here, two major contributions are developed for …

An analysis of the application of fuzzy logic in cloud computing

MI Tariq, S Tayyaba, N Ali Mian… - Journal of Intelligent …, 2020 - content.iospress.com
Fuzzy logic has wide adoption in every field of study due to its immense advantages and
techniques. In cloud computing, there are many challenges that can be resolved with the …

Energy utilization task scheduling for mapreduce in heterogeneous clusters

J Wang, X Li, R Ruiz, J Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, energy costs are the most important factor in cloud computing. Therefore, the
implementation of energy-aware task scheduling methods is of utmost importance. A task …