Study QoS optimization and energy saving techniques in cloud, fog, edge, and IoT

Z Qu, Y Wang, L Sun, D Peng, Z Li - Complexity, 2020 - Wiley Online Library
With an increase of service users' demands on high quality of services (QoS), more and
more efficient service computing models are proposed. The development of cloud …

Survey on machine learning based scheduling in cloud computing

NK Gondhi, A Gupta - Proceedings of the 2017 international conference …, 2017 - dl.acm.org
In the modern era, cloud computing gains a lot of attention due to its various features such
as it is simple to use, minimum cost, and mostly low power consumption. Many algorithms …

Energy and resource efficient workflow scheduling in a virtualized cloud environment

N Garg, D Singh, MS Goraya - Cluster Computing, 2021 - Springer
High energy consumption (EC) is one of the leading and interesting issue in the cloud
environment. The optimization of EC is generally related to scheduling problem. Optimum …

Multi‐objective approach of energy efficient workflow scheduling in cloud environments

A Rehman, SS Hussain, Z ur Rehman… - Concurrency and …, 2019 - Wiley Online Library
Scheduling the tasks of a workflow to the cloud resources is a well‐known N‐P hard
problem. The stakeholders involved in a cloud environment have different interests in …

GMTA: A geo-aware multi-agent task allocation approach for scientific workflows in container-based cloud

M Niu, B Cheng, Y Feng, J Chen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Scientific workflow scheduling is one of the most challenging problems in cloud computing
because of the large-scale computing tasks and massive data volumes involved. A cloud …

A multi-model estimation of distribution algorithm for energy efficient scheduling under cloud computing system

C Wu, L Wang - Journal of parallel and distributed computing, 2018 - Elsevier
How to manage the applications under computing systems such as a cloud computing
system in a more efficient way is a focus problem. The primary performance goal is to reduce …

Energy‐Efficient Scientific Workflow Scheduling Algorithm in Cloud Environment

N Garg, Neeraj, M Raj, I Gupta… - Wireless …, 2022 - Wiley Online Library
Scheduling extensive scientific applications that are deadline‐aware (usually referred to as
workflow) is a difficult task. This research provides a virtual machine (VM) placement and …

Parallelizing quantum-classical workloads: Profiling the impact of splitting techniques

T Khare, R Majumdar, R Sangle, A Ray… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Quantum computers are the next evolution of computing hardware. Quantum devices are
being exposed through the same familiar cloud platforms used for classical computers, and …

EQGSA-DPW: A Quantum-GSA Algorithm-Based Data Placement for Scientific Workflow in Cloud Computing Environment

Z Brahmi, R Derouiche - Journal of Grid Computing, 2024 - Springer
The processing of scientific workflow (SW) in geo-distributed cloud computing holds
significant importance in the placement of massive data between various tasks. However …

Extended water wave optimization (EWWO) technique: a proposed approach for task scheduling in IoMT and healthcare applications

B Bapuram, M Subramanian, A Mahendran… - Evolutionary …, 2024 - Springer
Abstract The Internet of Medical Things (IoMT) is a version of the Internet of Things. It is
getting the attention of researchers because it can be used in a wide range of smart …