Proceedings ArticleDOI
Agent based dynamic load balancing in Cloud Computing
Jitender Grover,Shivangi Katiyar +1 more
- pp 1-6
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TLDR
It is concluded that Agent Base load balancing scheme greatly reduces the communication cost of servers, accelerates the rate of load balancing which indirectly improves the Throughput and Response Time of the cloud.Abstract:
Cloud Computing is one of the latest computing paradigms in IT sector today where applications, platforms, software and some other IT services are provided over the internet. It is also known as On Demand Computing. Cloud Computing considers shared pool of configurable computing resources which requires proper resource distribution among the tasks, otherwise in some situations resources may over-utilized or underutilized. For the sake of efficient resource utilization, Load Balancing System problem needs more attention in cloud computing. In This paper, we have used Agent Based Dynamic Load Balancing (ABDLB) approach in which mobile agent plays very important role, which is a software entity and usually defined as an independent software program that runs on behalf of a network administrator. It has ability to learn. After comparing the proposed method with traditional load balancing scheme we concluded that Agent Base load balancing scheme greatly reduces the communication cost of servers, accelerates the rate of load balancing which indirectly improves the Throughput and Response Time of the cloud.read more
Citations
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Journal ArticleDOI
Dynamic provisioning of resources based on load balancing and service broker policy in cloud computing
Amrita Jyoti,Manish Shrimali +1 more
TL;DR: The proposed method to provide dynamic provisioning of resources based on load balancing and service brokering is better as compared with the conventional techniques in terms of Execution Time, Waiting Time, Energy Efficiency, Throughput, Resource Usage, and Makespan.
Journal ArticleDOI
A Krill Herd Behaviour Inspired Load Balancing of Tasks in Cloud Computing
TL;DR: The proposed work was aimed at optimizing resource allocation in MCC in an energy-efficient manner and the performance of the suggested Krill-LB was benchmarked against that of Honey Bee Behavior Load Balancing, Kill Herd, and Round Robin algorithms.
Journal ArticleDOI
An improved load balanced metaheuristic scheduling in cloud
M. Aruna,D. Bhanu,S. Karthik +2 more
TL;DR: A proposal for cloud scheduling by means of a balanced load using both firefly algorithm (FA) and particle swarm optimization (PSO) heuristics has been made to balance the load of the entire system while at the same time bring down the makespan of a set of tasks.
Journal ArticleDOI
Optimal Task Dispatching on Multiple Heterogeneous Multiserver Systems with Dynamic Speed and Power Management
TL;DR: This is the first work that addresses load distribution for performance optimization, power minimization, and cost-performance ratio optimization, collectively on multiple heterogeneous servers with dynamic speed and power management.
Journal ArticleDOI
User-oriented cloud resource scheduling with feedback integration
Ding Ding,Xiaocong Fan,Siwei Luo +2 more
TL;DR: Simulation results indicated that this relevance feedback scheduling mechanism is very effective in satisfying users’ diverse requirements, and it also performs well in terms of the resource utilization rate from the cloud provider’s perspective.
References
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ReportDOI
The NIST Definition of Cloud Computing
Peter Mell,Timothy Grance +1 more
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
Proceedings ArticleDOI
A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing
TL;DR: This paper investigates three possible distributed solutions proposed for load balancing; approaches inspired by Honeybee Foraging Behaviour, Biased Random Sampling and Active Clustering.
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
TL;DR: 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.
Proceedings ArticleDOI
A dynamic load balancing strategy for cloud computing platform based on exponential smoothing forecast
Xiaona Ren,Rongheng Lin,Hua Zou +2 more
TL;DR: In the improved algorithm, load and processing power are quantified, and single exponential smoothing forecasting mechanism is added, and the article proves by experiments that the new algorithm can reduce the server load tilt, and improve client service quality effectively.
Proceedings Article
Analysis of issues with load balancing algorithms in hosted (cloud) environments
Branko Radojevic,Mario Zagar +1 more
TL;DR: The analysis of detected issues for load balancing algorithms is presented in this paper, as a preparation phase for a new load balancing model (algorithm) proposition that incorporates information from virtualized computer environments and end user experience.