Using Ant Colony System to Consolidate VMs for Green Cloud Computing

Farahnakian, Fahimeh; Ashraf, Adnan; Pahikkala, Tapio; Liljeberg, Pasi; Plosila, Juha; Porres, Iván; Tenhunen, Hannu

doi:10.1109/tsc.2014.2382555

Cited by 289 publications

(203 citation statements)

References 24 publications

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“…The pheromone model and the probability model are the core of this algorithm [31]. ACO algorithms have been widely used for pattern classification [32], cloud computing [33], network coding [34], robot path planning [35] and in other fields. We propose some optimizations to improve the ACO algorithm for the study of the virtual globe platform and penetration route planning.…”

Section: Route Planning Methodsmentioning

confidence: 99%

Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform

Zhang

Liu

et al. 2016

IJGI

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Route planning is a key technology for an unmanned aerial vehicle (UAV) to fly reliably and safely in the presence of a threat environment. Existing route planning methods are mainly based on the simulation scene, whereas approaches based on the virtual globe platform have rarely been reported. In this paper, a new planning space for the virtual globe and the planner is proposed and a common threat model is constructed for threats including a no-fly zone, hazardous weather, radar coverage area, missile killing zone and dynamic threats. Additionally, an improved ant colony optimization (ACO) algorithm is developed to enhance route planning efficiency and terrain masking ability. Our route planning methods are optimized on the virtual globe platform for practicability. A route planning system and six types of planners were developed and implemented on the virtual globe platform. Finally, our evaluation results demonstrate that our optimum planner has better performance in terms of fuel consumption, terrain masking, and risk avoidance. Experiments also demonstrate that the method and system described in this paper can be used to perform global route planning and mission operations.

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Section: Route Planning Methodsmentioning

confidence: 99%

Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform

Zhang

Liu

et al. 2016

IJGI

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“…Different research work carried out using CloudSim Author Scheme Simulator Achievment Farahnakian, F et al [15] Ant Colony System (ACS)-online optimization metaheuristic algorithm CloudSim i. Reduces the energy consumption of data centers by consolidating VMs into a reduced number of active hosts ii.…”

Section: )mentioning

confidence: 99%

Analysis of Cloud Sim Toolkit for Implementing Energy Efficient Green Cloud Data Centers

Sajitha¹

2018

IJRASET

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Cloud computing is an emerging technology which emphasis on delivering software, platform, infrastructure to the user, based on demand by cloud services providers through general internet-based applications. Consumer can pay for using these resources on the basis of pay as you go model. Cloud Computing is facing many challenges from its seedling stage to yet. Energy management, Load balancing, Server consolidation, Resource utilization, VM Migration cost and time modeling, Security and Network throughput achievements are various known issues. Out of this energy consumption awarding the first position because of the number of energy hungry data centres are growing rapidly due to the increasing popularity of the Cloud Computing among all levels of organizations. But running the applications in the real cloud for testing are much more expensive and researchers often cannot attain the real cloud environment. To conquer these challenges, a test bed of cloud simulator is necessary. Simulation is the act of imitating or pretending like real environment. This paper introduces the characteristics and working of a cloud simulator framework named CloudSim which provides simulation, supremacy to manage cloud services as well as modeling of cloud infrastructure. Keywords: Cloud Computing, Data Centre, Energy Efficiency, Cloud Sim, Simulation, Green Cloud. I.INTRODUCTION Cloud computing is a versatile technology which can bear the wide spectrum of resources as well as applications. It is gaining its esteem in the midst of different types of organizations that have the aspirations to eliminate the strain of managing their own IT infrastructure via outsourcing the computational resources. It is a technological framework which supplies computing resources as a utility like electricity on a metered basis that authorizes the operations of the workloads similar to grid computing [1]. It provides high reliability, broad network access, fault tolerance, on demand services etc as compared to traditional computing Cloud provides Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) as service models. Amazon EC2 is an eminent IaaS provider, Google App is a well known PaaS provider and Salesforce.com is a prominent SaaS provider.. Cloud Computing distributes its resources, such as, software, storage, databases and network in reliable, economical and secure manner to a wide number of users via conventional internet protocols and these resources are accumulated in geographically dispersed energy hungry data centers. The conventional cloud applications are social networking, content delivery, web hosting, real time processing of data etc. These kinds of applications have dissimilar requirements for their set up and organization. The system volume, power performance and unreliable loads are the various issues of these applications' deployment under cloud federation. The amount of energy consumption of data centers is doubling in every four years. In 2015, U.S. data centers consumed around...

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“…In [2] In this paper VM consolidation problem which is a NP Hard problem is solved by applying metaheuristic algorithm ACO. The objective is to lower down the energy consumption of the overall algorithm.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey on VM Migration and Green Cloud Computing

Patidar¹,

Vashishtha²

2015

IJCA

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Cloud computing has become a part of everyone's life now. So researchers have immense interest in cloud performance and security. For security and to provide single system image so that user gets an illusion that everything is stored at his own system cloud uses concept of virtualization. For that different virtual machines (VMs) runs on same or different servers. These VMs can be migrated from one server to another. VM migration and power consumption on cloud has been a trending area of research. In this paper a survey in done on VM migration techniques with keeping power consumption in mind. So in this paper green algorithm for VM migration are discussed.

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Using Ant Colony System to Consolidate VMs for Green Cloud Computing

Cited by 289 publications

References 24 publications

Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform

Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform

Analysis of Cloud Sim Toolkit for Implementing Energy Efficient Green Cloud Data Centers

A Survey on VM Migration and Green Cloud Computing

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