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[HTML][HTML] A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …
Adaptive computational solutions to energy efficiency in cloud computing environment using VM consolidation
Cloud Computing has emerged as a computing paradigm where services are provided
through the internet in recent years. Offering on-demand services has transformed the IT …
through the internet in recent years. Offering on-demand services has transformed the IT …
Energy-latency tradeoff for dynamic computation offloading in vehicular fog computing
Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …
reduces service latency during peak times, and saves energy for battery-powered cloudlet …
Smart healthcare: RL-based task offloading scheme for edge-enable sensor networks
With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which
equipped with sensors. These networked sensors are used to gather enormous data from …
equipped with sensors. These networked sensors are used to gather enormous data from …
PAPSO: A power-aware VM placement technique based on particle swarm optimization
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 …
providers have invested in constructing large scale data centers. Consequently, a …
Kubernetes-oriented microservice placement with dynamic resource allocation
Z Ding, S Wang, C Jiang - IEEE Transactions on Cloud …, 2022 - ieeexplore.ieee.org
Microservices and Kubernetes are widely used in the development and operations of cloud-
native applications. By providing automated placement and scaling, Kubernetes has …
native applications. By providing automated placement and scaling, Kubernetes has …
Adaptive client selection in resource constrained federated learning systems: A deep reinforcement learning approach
With data increasingly collected by end devices and the number of devices is growing
rapidly in which data source mainly located outside the cloud today. To guarantee data …
rapidly in which data source mainly located outside the cloud today. To guarantee data …
DCHG-TS: a deadline-constrained and cost-effective hybrid genetic algorithm for scientific workflow scheduling in cloud computing
Cloud infrastructures are suitable environments for processing large scientific workflows.
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …
Nowadays, new challenges are emerging in the field of optimizing workflows such that it can …
Migration-based load balance of virtual machine servers in cloud computing by load prediction using genetic-based methods
This paper presents a two-stage genetic mechanism for the migration-based load balance of
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …
Two-phase industrial manufacturing service management for energy efficiency of data centers
Data-driven industrial manufacturing services are proliferating. They use large amounts of
data generated from Industrial-Internet-of-Things (IIoT) devices for intelligent services to end …
data generated from Industrial-Internet-of-Things (IIoT) devices for intelligent services to end …