Proceedings ArticleDOI
A load balancing mechanism based on ant colony and complex network theory in open cloud computing federation
Zehua Zhang,Xuejie Zhang +1 more
- Vol. 2, pp 240-243
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TLDR
A load balancing mechanism based on ant colony and complex network theory in open cloud computing federation is proposed in this paper, it improves many aspects of the related Ant Colony algorithms which proposed to realize load balancing in distributed system.Abstract:
Although cloud computing is generally recognized as a technology which will has a significant impact on IT in the future. However, Cloud computing is still in its infancy, many crucial problems need to be solved for the realization of the fine scenery which theoretically depicted by cloud computing. Load balancing is one of these problems; it plays a very important role in the realization of Open Cloud Computing Federation. We proposal a load balancing mechanism based on ant colony and complex network theory in open cloud computing federation in this paper, it improves many aspects of the related Ant Colony algorithms which proposed to realize load balancing in distributed system, Furthermore, this mechanism take the characteristic of Complex Network into consideration. Finally, the performance of this mechanism is qualitatively analyzed, and a prototype is developed to enable the quantitative analysis, simulation results manifest the analysis.read more
Citations
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Journal ArticleDOI
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches
TL;DR: Through analyzing the cloud computing architecture, this survey first presents taxonomy at two levels of scheduling cloud resources, then paints a landscape of the scheduling problem and solutions, and a comprehensive survey of state-of-the-art approaches is presented systematically.
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.
Proceedings ArticleDOI
A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms
TL;DR: This paper investigates the different algorithms proposed to resolve the issue of load balancing and task scheduling in Cloud Computing and discusses and compares these algorithms to provide an overview of the latest approaches in the field.
Proceedings ArticleDOI
Load Balancing of Nodes in Cloud Using Ant Colony Optimization
Kumar Nishant,Pratik Sharma,Vishal Krishna,Chhavi Gupta,Kuwar Pratap Singh,Nitin,Ravi Rastogi +6 more
TL;DR: An algorithm for load distribution of workloads among nodes of a cloud by the use of Ant Colony Optimization (ACO), which has an edge over the original approach in which each ant build their own individual result set and it is later on built into a complete solution.
Cloud Load Balancing Techniques : A Step Towards Green Computing
TL;DR: The existing load balancing techniques in cloud computing are discussed and further compares them based on various parameters like performance, scalability, associated overhead etc that are considered in different techniques.
References
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Journal ArticleDOI
Complex networks: Structure and dynamics
TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.
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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
Journal ArticleDOI
Ant algorithms for discrete optimization
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Journal ArticleDOI
Inspiration for optimization from social insect behaviour
TL;DR: Research in social insect behaviour has provided computer scientists with powerful methods for designing distributed control and optimization algorithms that tend to exhibit a high degree of flexibility and robustness in a dynamic environment.
Journal ArticleDOI
The reservoir model and architecture for open federated cloud computing
Benny Rochwerger,David Breitgand,Eliezer Levy,Alex Galis,K. Nagin,Ignacio M. Llorente,Rubén S. Montero,Yaron Wolfsthal,Erik Elmroth,Juan Caceres,Muli Ben-Yehuda,Wolfgang Emmerich,Fermín Galán +12 more
TL;DR: The Reservoir project is motivated by the vision of implementing an architecture that would enable providers of cloud infrastructure to dynamically partner with each other to create a seemingly infinite pool of IT resources while fully preserving their individual autonomy in making technological and business management decisions.