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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Habib, S.J. Marimuthu, P.N. |
| Copyright Year | 2009 |
| Abstract | Nowadays, the rapidly changing technology development and the demand to provide high-end solutions to customers needs increase the opportunity of networking various small enterprises, offering service oriented businesses. The existing value network should be, viewed as a fluid infrastructure, clustering together various enterprises (sub-networks). Based on the business scenario of individual enterprises’ in a specified time interval, few subnets maybe underutilized and few subnets may be over-utilized, thereby necessitates periodic changes in the distribution of customers. Here we propose a number of redesign operations on the customers’ clusters (enterprises), which are sub-networks in the value network, with the conscious to minimize the extra-traffic in the backbone network. Thus we have proposed an optimization re-design problem to reduce the extra-traffic at the value network and maximize the intra-traffic within the clusters (subnets) by considering customers’ movement and clusters consolidation. We have utilized Simulated Annealing (SA) algorithm to search for the best solution to the re-clustering problem. Our simulation results show a better trade-off in minimizing the extra-traffic through clusters consolidation and improve efficiency in operations for the service providers. |
| Starting Page | 505 |
| Ending Page | 508 |
| File Size | 298120 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424451838 |
| DOI | 10.1109/SCC.2009.46 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-21 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Technological innovation Marketing and sales Application software Costs Automation Computer architecture Usability Subscriptions Data security Cloud computing simulated annealing service innovation clusters consolidation redesign formulation optimization |
| Content Type | Text |
| Resource Type | Article |
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