A comprehensive survey on cultural algorithms

A Maheri, S Jalili, Y Hosseinzadeh, R Khani… - Swarm and Evolutionary …, 2021 - Elsevier
Abstract Cultural Algorithms (CAs) are evolutionary algorithms (EAs) inspired by the
conceptual models of the human cultural evolution process. In contrast to the conventional …

PAPSO: A power-aware VM placement technique based on particle swarm optimization

A Ibrahim, M Noshy, HA Ali, M Badawy - IEEE Access, 2020 - ieeexplore.ieee.org
With the widespread usage of cloud computing to benefit from its services, cloud service
providers have invested in constructing large scale data centers. Consequently, a …

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 …

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 …

Intelligent SLA‐Aware VM Allocation and Energy Minimization Approach with EPO Algorithm for Cloud Computing Environment

JK Samriya, S Chandra Patel… - Mathematical …, 2021 - Wiley Online Library
Cloud computing is the most prominent established framework; it offers access to resources
and services based on large‐scale distributed processing. An intensive management …

MT-EA4Cloud: A methodology for testing and optimising energy-aware cloud systems

PC Canizares, A Núnez, J De Lara, L Llana - Journal of Systems and …, 2020 - Elsevier
Currently, using conventional techniques for checking and optimising the energy
consumption in cloud systems is unpractical, due to the massive computational resources …

[HTML][HTML] An intelligent energy minimization algorithm with virtual machine consolidation for sensor-based decision support system

SK Kosuru, D Midhunchakkaravarthy… - Measurement: Sensors, 2023 - Elsevier
Cloud computing has many benefits for businesses because of its distinctive qualities,
including scalability, flexibility, on-demand service, and security. A good task scheduler is …

Optimized clustering-based discovery framework on internet of things

M Bharti, H Jindal - The Journal of Supercomputing, 2021 - Springer
With the proliferation of technology, a system of connected and interconnected devices,
henceforth referred to as Internet of Things, is emerging as a viable method for automated …

An efficient energy-aware and service quality improvement strategy applied in cloud computing

J Wang, J Yu, Y Song, X He, Y Song - Cluster Computing, 2023 - Springer
Reducing the energy consumption while guaranteeing the quality of service (QoS) in the
cloud data centers is challenge task for cloud providers. Dynamic virtual machine (VM) …

[PDF][PDF] Task arrival based energy efficient optimization in smart-IoT data center

B Wang, F Liu - Mathematical Biosciences and Engineering, 2021 - aimspress.com
With the growth and expansion of cloud data centers, energy consumption has become an
urgent issue for smart cities system. However, most of the current resource management …