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Jani, N. N.
- Development of Software Dispatcher Based Load Balancing Algorithms for Heterogeneous Cluster Based Web Systems
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National Journal of System and Information Technology, Vol 5, No 2 (2012), Pagination: 105-114Abstract
Once the web site becomes a popular and the access frequency from a large domain of user increase then single web server may not be able to handle high volume of incoming traffic. To provide a better service to all the clients, they need a fully replicated web server clusters. In such an environment, one of the most important issues is that of server selection (and load balancing). In web cluster, load balancing process done at Open Systems Interconnection layer 4 (Hardware Load Balancer) and layer 7 (Software Load Balancer) with typical static and dynamic load balancing approaches. In this paper we present the performance analysis of round robin, random, least connection and new execution time load balancing algorithms at layer 7 in heterogeneous web cluster. The main purpose of this paper is to help in design of new algorithms in future by studying the behavior of various static and dynamic load balancing algorithms.Keywords
Web Cluster, Load Balancing, Static Load Balancing, Dynamic Load BalancingReferences
- Valeria Cardellini, Emiliano Casalicchio, Michele Colajani, Philip S Yu (2001). The State of the Art in Locally Distributed Web-server Systems, IBM Research Report, pp. 10-12, 26-41
- Valeria Cardellini, Michele Colajani, Philip S Yu(1999). Dynamic Load Balancing on Web-Server System, IEEE Internet computing, Vol. 3, pp. 10-15
- Michele Colajani, Philip S Yu, D. M. Dias (1998). Analysis of Task assignment polices in scalable distributed web systems, IEEE Transactions on Parallel and Distributed Systems, Vol. 9, pp. 7-13
- Tony Bourke (2001). Server Load Balancing, Sebastopol, CA, O'REILLY, pp. 13-22
- Hossien Bidgoli (2004), The Internet Encyclopedia, Vol. 2,John Wiley & Sons, Hoboken, New Jersey, pp. 499-511
- Willy Tarreau (2006). Making application scalable with load balancing. Information Website: http://1wt.eu/articles/2006_lb/
- http://www.ibm.com/software/network/dispatcher
- http://www.cisco.com
- http://www.foundrynet.com/pdf/wp-server-load-bal-web-enterprise.pdf
- Equitable Payment Distribution for Project-Expert Scheduling Using Genetic Algorithm
Abstract Views :168 |
PDF Views:7
Authors
Affiliations
1 Saurashtra University, Gujarat, IN
2 Shinghania University, Rajasthan, IN
3 S K Patel Institute of Computer Studies, Kadi Sarva Vishwa Vidyalya, Gandhinagar, Gujarat, IN
4 M.S. University, Baroda, Gujarat, IN
1 Saurashtra University, Gujarat, IN
2 Shinghania University, Rajasthan, IN
3 S K Patel Institute of Computer Studies, Kadi Sarva Vishwa Vidyalya, Gandhinagar, Gujarat, IN
4 M.S. University, Baroda, Gujarat, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 12 (2012), Pagination: 682-687Abstract
The human race is facing a large number of very complex real-world problems. One of them is a very common and typical problem faced by many large organizations executing multiple projects concurrently. They have a huge pool of similarly skilled human resource (experts) which needs to be allocated to multiple projects with different units of work and different payment rates such that each expert gets an equitable payment. The above problem is an allocation problem and it falls into the category of NP Hard problems. A simple and obvious approach could be application of Round robin technique to this problem. However, this technique is not suitable and has a set of limitations. As per no polynomial-time algorithm exists to solve this problem optimally. In this paper we have introduced a novel Genetic Algorithm based approach with problem specific three-dimensional representation scheme to find the optimal solution for the equitable payment distribution. We have implemented an algorithm that achieves average performance which is close to the optimal across many experimental scenarios. Furthermore, this evolutionary algorithm does not require special high powered computing hardware and is still quite efficient. This makes it ideally suitable for solving this type of allocation problems.Keywords
Project, Experts, NP (Non Polynomial), Round Robin, Genetic Algorithm, Exhaustive Search, Elitism, Crossover, Mutation.- Design and Modeling Billing Solution to Next Generation Networks
Abstract Views :126 |
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Authors
Affiliations
1 Atmiya Institute of Technology & Science, Rajkot-360001, Gujarat, IN
2 Kadi Sarva Vishva Vidyalaya (Deemed University), Gandhinagar, Gujarat, IN
1 Atmiya Institute of Technology & Science, Rajkot-360001, Gujarat, IN
2 Kadi Sarva Vishva Vidyalaya (Deemed University), Gandhinagar, Gujarat, IN