Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions

H Singh, S Tyagi, P Kumar, SS Gill, R Buyya - … Modelling Practice and …, 2021 - Elsevier
In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …

Building upon NB-IoT networks: A roadmap towards 5G new radio networks

SA Gbadamosi, GP Hancke, AM Abu-Mahfouz - IEEE Access, 2020 - ieeexplore.ieee.org
Narrowband Internet of Things (NB-IoT) is a type of low-power wide-area (LPWA)
technology standardized by the 3 rd-Generation Partnership Project (3GPP) and based on …

A survey of aiops methods for failure management

P Notaro, J Cardoso, M Gerndt - ACM Transactions on Intelligent …, 2021 - dl.acm.org
Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …

Efficient job scheduling paradigm based on hybrid sparrow search algorithm and differential evolution optimization for heterogeneous cloud computing platforms

MI Khaleel - Internet of Things, 2023 - Elsevier
The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …

An enhanced ordinal optimization with lower scheduling overhead based novel approach for task scheduling in cloud computing environment

M Yadav, A Mishra - Journal of Cloud Computing, 2023 - Springer
Efficient utilization of available computing resources in Cloud computing is one of the most
challenging problems for cloud providers. This requires the design of an efficient and …

Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm

X Fu, Y Sun, H Wang, H Li - Cluster Computing, 2023 - Springer
Task scheduling in cloud environment is a hot topic in current research. Effective scheduling
of massive tasks submitted by users in cloud environment is of great practical significance …

A two-stage scheduler based on New Caledonian Crow Learning Algorithm and reinforcement learning strategy for cloud environment

BMH Zade, N Mansouri, MM Javidi - Journal of Network and Computer …, 2022 - Elsevier
Most studies on task scheduling in the cloud consider at most two or three objectives and
hence the main motivation of this paper is to design the task scheduling problem by …

Toward QoS monitoring in IoT edge devices driven healthcare—a systematic literature review

MI Younas, MJ Iqbal, A Aziz, AH Sodhro - Sensors, 2023 - mdpi.com
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT,
mobile, and cloud computing. Cloud computing has tremendously helped the health industry …

Reliable capacity provisioning for distributed cloud/edge/fog computing applications

PO Östberg, J Byrne, P Casari… - … on networks and …, 2017 - ieeexplore.ieee.org
The REliable CApacity Provisioning and enhanced remediation for distributed cloud
applications (RECAP) project aims to advance cloud and edge computing technology, to …

Multiphase fault tolerance genetic algorithm for vm and task scheduling in datacenter

S Kanwal, Z Iqbal, F Al-Turjman, A Irtaza… - Information Processing & …, 2021 - Elsevier
Cloud datacenter (D c) have become popular in recent years with the rising popularity and
high performance of cloud computing. The multi-step of data computation and diverse task …