A Novel Family Genetic Approach for Virtual Machine Allocation
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TLDR
Experimental analysis proves that the proposed approach reduces energy consumption and the rate of migrations, and hence offers much scope for future research.About:
This article is published in Procedia Computer Science.The article was published on 2015-01-01 and is currently open access. It has received 64 citations till now. The article focuses on the topics: Virtual machine & Virtualization.read more
Citations
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Journal ArticleDOI
A review of metaheuristic scheduling techniques in cloud computing
Mala Kalra,Sarbjeet Singh +1 more
TL;DR: An extensive survey and comparative analysis of various scheduling algorithms for cloud and grid environments based on three popular metaheuristic techniques: Ant Colony Optimization, Genetic Algorithm and Particle Swarm Optimization and two novel techniques: League Championship Algorithm (LCA) and BAT algorithm.
Journal ArticleDOI
Enhanced multi-verse optimizer for task scheduling in cloud computing environments
TL;DR: An Enhanced version of the Multi-Verse Optimizer (EMVO) is proposed as a superior task scheduler in this area and substantially outperforms both MVO and PSO algorithms in terms of achieving minimized makespan time and increasing resources’ utilization.
Journal ArticleDOI
Markov Prediction Model for Host Load Detection and VM Placement in Live Migration
TL;DR: A host load detection algorithm to find the future overutilized/underutilized hosts state to avoid immediate VMs migration and a VM placement algorithm to determine the set of candidates hosts to receive the migrated VMs in a way to reduce their VM migrations in near future are proposed.
Journal ArticleDOI
Energy-efficient Virtual Machine Allocation Technique Using Flower Pollination Algorithm in Cloud Datacenter: A Panacea to Green Computing
Mohammed Joda Usman,Abdul Samad Ismail,Hassan Chizari,Gaddafi Abdul-Salaam,Ali Muhammad Usman,Abdulsalam Ya'u Gital,Omprakash Kaiwartya,Ahmed Aliyu +7 more
TL;DR: An Energy-oriented Flower Pollination Algorithm (E-FPA) for VM allocation in cloud datacenter environments is proposed and it is shown that the E-F PA significantly improvesdatacenter performance and thus, enhances environmental sustainability.
Proceedings ArticleDOI
An Improved Particle Swarm Optimization for Energy-Efficiency Virtual Machine Placement
TL;DR: This work improved the PSO method to fit with virtual machine placement in data centers and shows that improved PSO can find the optimal solution for low energy consumption comparing to First-fit, Best- fit, and worst-fit.
References
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Journal ArticleDOI
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
Book ChapterDOI
Virtual Machine Consolidation in Cloud Data Centers Using ACO Metaheuristic
TL;DR: The AVVMC VM consolidation scheme that focuses on balanced resource utilization of servers across different computing resources (CPU, memory, and network I/O) with the goal of minimizing power consumption and resource wastage is proposed.
Journal ArticleDOI
A Hybrid Genetic Algorithm for the Energy-Efficient Virtual Machine Placement Problem in Data Centers
Maolin Tang,Shenchen Pan +1 more
TL;DR: A hybrid genetic algorithm is presented for the energy-efficient virtual machine placement problem that considers the energy consumption in both physical machines and the communication network in a data center.
Proceedings ArticleDOI
An Approach to Optimized Resource Scheduling Algorithm for Open-Source Cloud Systems
Hai Zhong,Kun Tao,Xuejie Zhang +2 more
TL;DR: This paper investigates the possibility to allocate the Virtual Machines (VMs) in a flexible way to permit the maximum usage of physical resources and uses an Improved Genetic Algorithm (IGA) for the automated scheduling policy.
Proceedings ArticleDOI
A case for fully decentralized dynamic VM consolidation in clouds
TL;DR: This paper proposes a novel fully decentralized dynamic VMC schema based on an unstructured peer-to-peer (P2P) network of PMs and shows that once integrated in this fully decentralized V MC schema, traditional VMC algorithms achieve a global packing efficiency very close to a centralized system.