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Study QoS optimization and energy saving techniques in cloud, fog, edge, and IoT
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 …
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 …
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
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 …
environment. The optimization of EC is generally related to scheduling problem. Optimum …
Multi‐objective approach of energy efficient workflow scheduling in cloud environments
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 …
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
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 …
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
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 …
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
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 …
workflow) is a difficult task. This research provides a virtual machine (VM) placement and …
Parallelizing quantum-classical workloads: Profiling the impact of splitting techniques
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 …
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 …
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 …
getting the attention of researchers because it can be used in a wide range of smart …