A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing

Randles, Martin; Lamb, David J.; Taleb-Bendiab, A.

doi:10.1109/waina.2010.85

Cited by 363 publications

(142 citation statements)

References 10 publications

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“…al. [13] investigated the operation of three load balancing algorithms and discussed their disadvantages. They proposed arrangements for load adjusting.…”

Section: Related Workmentioning

confidence: 99%

Effect of Service Broker Policies and Load Balancing Algorithms on the Performance of Large Scale Internet Applications in Cloud Datacenters

Meftah¹,

Youssef²,

Zakariah³

2018

ijacsa

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Abstract-Cloud computing is advancing rapidly. With such advancement, it has become possible to develop and host large scale distributed applications on the Internet more economically and more flexibly. However, the geographical distribution of user bases, the available Internet infrastructure within those geographical areas, and the dynamic nature of usage patterns of the user bases are critical factors that affect the performance of these applications. Therefore, it is necessary to compromise between datacenters, service broker policies, and load balancing algorithms to optimize the performance of the application and the cost to the owners. This paper aims at studying the effect of service broker policies and load balancing algorithms on the performance of large-scale Internet applications under different configurations of datacenters. To achieve this goal, we modeled the behavior of the popular Facebook application with the most recent worldwide users' statistics. Then, we evaluated the performance of this application under different configurations of datacenters using: 1) two different service broker policies, namely, closest datacenter and optimum response time; and 2) three loadbalancing algorithms, namely, round robin, equally spread current execution, and throttled load balancer. The overall average response time of the application and the overall average time spent for processing a user request by a datacenter are measured and the results are discussed. This study would help service providers generate valuable insights on coordination between datacenters, service policies, and load balancing algorithms when designing Cloud infrastructure services in geographically distributed areas. In addition, application designers would benefit greatly from this study in identifying the optimal arrangement for their applications.

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“…al. [13] investigated the operation of three load balancing algorithms and discussed their disadvantages. They proposed arrangements for load adjusting.…”

Section: Related Workmentioning

confidence: 99%

Effect of Service Broker Policies and Load Balancing Algorithms on the Performance of Large Scale Internet Applications in Cloud Datacenters

Meftah¹,

Youssef²,

Zakariah³

2018

ijacsa

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“…The author M. Randles et al [20] has proposed scheme which dynamically on random basis samples system data to acquire selforganization and this way it balances the load in all system of node. Here a virtual graph is made showing the connectivity of those nodes showing load on the server regarding job execution and completion time in the network.…”

Section: Biased Random Samplingmentioning

confidence: 99%

Cloud Load Balancing: A Perspective Study

Pandey¹

2017

ijecs

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Cloud computing has boomed its horizon with large pace as commercial infrastructure in the IT industries meeting the vast requirements of computing resources. There are several issues such as load balancing, virtual machine migration, automated service provisioning, algorithm complexity, etc., demanding to be resolved. Each of these issues needs load balancing to be resolved. This aims for distributing the unwanted dynamic workload between the nodes residing in cloud and this desires of every computing resource must be assigned on proficient and reasonable ground.Load balancing has become crucial for efficient performance in distributed environments. Cloud computing is an emerging technology demanding more services and better results. Thus load balancing for the cloud is very interesting and important research area. Many algorithms are proposed to provide efficient techniques for assigning the client's requests to available cloud nodes.This paper studies cloud computing along with research challenges in load balancing. Load balancing has been a major issue for cloud computing environment. Efficient load balancing scheme ensures efficient resource utilization by providing the resources to cloud on-demand of users' basis. By implementing appropriate scheduling criteria load balancing may prioritize users. The aim of this study is to peep in various load balancing algorithms to address its challenges in variety of cloud environment. This study provides a perspective view of the latest approaches in load balancing that will certainly help the future researchers in this field

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“…It is the process of distribution of tasks among available nodes of a distributed system to get better both resource utilization and job response time. It also avoids situation where some nodes are overloaded while other nodes under loaded [5].…”

Section: Load Balancingmentioning

confidence: 99%

A Modified Performance Oriented Approach for Load Balancing in Cloud Computing

Kaur¹,

Jain²

2015

IJCA

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Cloud computing is advancing with a great pace. It has been already adopted over a large user base. Easy to use and anywhere access like capabilities of cloud computing has made it attractive among other technologies. It has not only reduced the deployment cost on user side but also allowed the big companies to sell their infrastructure to reduce the installation cost for the small organization. Roots of cloud computing extends to Grid computing. Along with the features of its ancestor technologies it also carries the loopholes present in those technologies. Some of these are identified and corrected in the recent times but still there remains the need for the improvement in cloud computing. These improvements can be divided widely into two categories viz. performance and security. The work done in this paper is devoted to performance enhancement for the user of existing cloud system. There are many simulation environments available to simulate this type of work. Among these available tools cloud Analyst is having attractive GUI along with transparent control of parameters. The Cloud Analyst is used to simulate the enhancements done in the existing system. Among various components load balancing task is used for the modification and enhancement aiming to reduce the response time, computational time and cost included. The results are analyzed and compared with the existing algorithms and as observed, proposed work is one step ahead of existing techniques.

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A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing

Cited by 363 publications

References 10 publications

Effect of Service Broker Policies and Load Balancing Algorithms on the Performance of Large Scale Internet Applications in Cloud Datacenters

Effect of Service Broker Policies and Load Balancing Algorithms on the Performance of Large Scale Internet Applications in Cloud Datacenters

Cloud Load Balancing: A Perspective Study

A Modified Performance Oriented Approach for Load Balancing in Cloud Computing

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