[HTML][HTML] Seagull optimization algorithm based multi-objective VM placement in edge-cloud data centers
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 …
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
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 …
meet user demand while the ECDCs are large energy consumers. Concerning the decrease …
Energy-efficient and load-aware VM placement in cloud data centers
VM consolidation has been proposed as an effective solution to improve resource utilization
and energy efficiency through VM migration. Improper VM placement during consolidation …
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
Recent telecommunication paradigms, such as big data, Internet of Things (IoT), ubiquitous
edge computing (UEC), and machine learning, are encountering with a tremendous number …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
centers. Previous work generally focus on how to place the VMs efficiently in servers to …