[HTML][HTML] Seagull optimization algorithm based multi-objective VM placement in edge-cloud data centers

S Nabavi, L Wen, SS Gill, M Xu - Internet of Things and Cyber-Physical …, 2023 - Elsevier
Abstract Edge-Cloud Datacenters (ECDCs) have been massively exploited by the owners of
technology and industrial centers to satisfy the user demand. At the same time, the amount …

TRACTOR: Traffic‐aware and power‐efficient virtual machine placement in edge‐cloud data centers using artificial bee colony optimization

SS Nabavi, SS Gill, M Xu, M Masdari… - International Journal …, 2022 - Wiley Online Library
Technology providers heavily exploit the usage of edge‐cloud data centers (ECDCs) to
meet user demand while the ECDCs are large energy consumers. Concerning the decrease …

Energy-efficient and load-aware VM placement in cloud data centers

Z Li, K Lin, S Cheng, L Yu, J Qian - Journal of Grid Computing, 2022 - Springer
VM consolidation has been proposed as an effective solution to improve resource utilization
and energy efficiency through VM migration. Improper VM placement during consolidation …

A priority, power and traffic-aware virtual machine placement of IoT applications in cloud data centers

S Omer, S Azizi, M Shojafar, R Tafazolli - Journal of systems architecture, 2021 - Elsevier
Recent telecommunication paradigms, such as big data, Internet of Things (IoT), ubiquitous
edge computing (UEC), and machine learning, are encountering with a tremendous number …

Gmpr: a two-phase heuristic algorithm for virtual machine placement in large-scale cloud data centers

J Wang, J Yu, R Zhai, X He, Y Song - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
In the cloud data centers, due to the variable resource requirements of cloud tenants,
designers applied the infrastructure as a service (IaaS) model to provide services for tenants …

Multi-objective optimization for VM placement in homogeneous and heterogeneous cloud service provider data centers

R Regaieg, M Koubàa, Z Ales, T Aguili - Computing, 2021 - Springer
We address the virtual machine placement problem that arises in Cloud Service Providers
data centers. We purpose, a Multi-Objective Integer Linear Programming model which aims …

Energy-aware and carbon-efficient VM placement optimization in cloud datacenters using evolutionary computing methods

T Abbasi-khazaei, MH Rezvani - Soft Computing, 2022 - Springer
One of the most critical concerns of cloud service providers is balancing renewable and
fossil energy consumption. On the other hand, the policy of organizations and governments …

An ACO-based multi-objective optimization for cooperating VM placement in cloud data center

K Karmakar, RK Das, S Khatua - The Journal of Supercomputing, 2022 - Springer
High-performance computing requires numerous virtual machines (VMs) to meet the
demand for services of the end-users. Such computation generates high intra-network traffic …

An energy-efficient topology-aware virtual machine placement in cloud datacenters: a multi-objective discrete jaya optimization

MH Shirvani - Sustainable Computing: Informatics and Systems, 2023 - Elsevier
By the advent of cloud computing and the numerous related web applications, data center
networks (DCNs) are becoming complex to provide all-to-all communications between …

A global-energy-aware virtual machine placement strategy for cloud data centers

H Feng, Y Deng, J Li - Journal of Systems Architecture, 2021 - Elsevier
Virtual machine (VM) placement is a key technique for energy optimization in cloud data
centers. Previous work generally focus on how to place the VMs efficiently in servers to …