DNS-Based Load Balancing in Distributed Web-server Systems

Hong, Yoo S.; No, Jaechun; Kim, S.Y.

doi:10.1109/seus-wccia.2006.23

Cited by 23 publications

(12 citation statements)

References 9 publications

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“…This arrangement helps the mobile agent to communicate always in a sequential manner. In the previous work of Hong et al (2006) the load information was broadcast to all the servers. Also Pao and Chen (2006) have used the advertisement technique to convey the load information to dispatcher from backend servers.…”

Section: Discussionmentioning

confidence: 99%

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Distribution of Load Using Mobile Agent in Distributed Web Servers

Dhas¹

2014

American Journal of Applied Sciences

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The continuing growth of the World-Wide Web is placing increasing demands on popular Web servers. Many of the sites are now using distributed Web servers (i.e., groups of machines) to service the increasing number of client requests, as a single server cannot handle the workload. Incoming client requests must be distributed in some fashion among the machines in the distributed Web server to improve the performance. In the existing work, reducing the high message complexity is a challenge. This study introduces a novel algorithm, which has low message complexity named Load Distribution by dynamically Fixing input to the server using Mobile agent (LDFM) which distributes the incoming request, as it arrives from the client world, to avoid overloading of the distributed web servers. LDFM uses prefetch techniques to balance the load among the distributed web servers. Mobile agents are susceptible to failure. This issue is also addressed to bring reliability to the algorithm. The simulation results confirm that the proposed method is reliable. The relative improvement in throughput, comparing with the exiting methods is appreciable.

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Section: Discussionmentioning

confidence: 99%

“…Using one virtual URL name for the clustered web system, the problem of load balancing was approached (Hong et al, 2006). In this method http requests are assigned to the server with least load by the IPaddress dispatcher.…”

Section: Related Workmentioning

confidence: 99%

Distribution of Load Using Mobile Agent in Distributed Web Servers

Dhas¹

2014

American Journal of Applied Sciences

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“…Some previous works show that for the managing of clusterbased web servers we need to employ a large number of algorithms, regarding load balancing [15,16,19,28,30,43,55,56,59,60], architecture design and performance optimization [31,32,51,62], overload and admission control [2,4,26,48], job dispatching and redirection purposes, even at a geographical scale [57,61]. Many of these algorithms have been proposed to balance the loads in the cluster web servers.…”

Section: Related Workmentioning

confidence: 99%

“…However, as the prevalence of web in business and critical domains grows, it is becoming evident that the web servers must be made with superior performance, in order to retain existing users and attract new ones [4,6,52,54]. One of the most popular approaches for addressing these challenges is the cluster-based web servers [16,20,28,29,44,51,61]. This strategy is more cost effective than augmenting capacity of a single server to meet the demands of a web site.…”

Section: Introductionmentioning

confidence: 99%

A predictive and probabilistic load-balancing algorithm for cluster-based web servers

Sharifian

Motamedi

Akbari

2011

Applied Soft Computing

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“…A quick look at various academic and commercial proposals confirms an increasing trend in employing cluster web servers due to existing problems such as load balancing [5, 10, 12-14, 27, 50], performance optimization [4], overload conditions [2,8,9,16,17,26] and load balancing at the geographical scale [11,25]. A detailed survey on load balancing for cluster web servers is given in [40].…”

Section: Introductionmentioning

confidence: 99%

An approximation-based load-balancing algorithm with admission control for cluster web servers with dynamic workloads

2009

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The growth of web-based applications in business and e-commerce is building up demands for high performance web servers for better throughputs and lower user-perceived latency. These demands are leading to a widespread substitution of powerful single servers by robust newcomers, cluster web servers, in many enterprise companies. In this respect the load-balancing algorithms play an important role in boosting the performance of cluster servers. The previous load-balancing algorithms which were designed for the handling of static contents in web services suffer from significant performance degradation under dynamic and database-driven workloads. Regarding this, we propose an approximation-based load-balancing algorithm with admission control for cluster-based web servers in this study. Since it is difficult to accurately determine the loads of web servers through feedbacks from distributed agents in web servers, we propose an analytical model of a web server to estimate the web servers' loads. To achieve this, the algorithm classifies requests based on their service times and track numbers of outstanding requests for each class of each web server node and also based on their resource demands to dynamically estimate the loads of each node. For the error handling of the model a proportional integral (PI) controller from control theory is used. Then the estimated available capacity of each web server is used for load balancing and admission control decisions. The implementation results with a standard benchmark confirm the effectiveness of the proposed scheme, which improves both the mean response time and the throughput An approximation-based load-balancing algorithm 441 of the cluster compared to rival load-balancing algorithms, and also avoids situations in which the cluster is overloaded, even when the request rates are beyond the cluster capacity.Keywords Cluster-based web server · Dynamic load-balancing algorithm · Admission control · Analytical model of web server · Feedback controller design

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DNS-Based Load Balancing in Distributed Web-server Systems

Cited by 23 publications

References 9 publications

Distribution of Load Using Mobile Agent in Distributed Web Servers

Distribution of Load Using Mobile Agent in Distributed Web Servers

A predictive and probabilistic load-balancing algorithm for cluster-based web servers

An approximation-based load-balancing algorithm with admission control for cluster web servers with dynamic workloads

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