Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model
Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain prefer...
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Format: | Article |
Language: | English |
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Wiley
2015-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/858975 |
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author | Rajkumar Rajavel Mala Thangarathinam |
author_facet | Rajkumar Rajavel Mala Thangarathinam |
author_sort | Rajkumar Rajavel |
collection | DOAJ |
description | Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework. |
format | Article |
id | doaj-art-74e7f6450e6e41d9b4a3807ffb2c12a4 |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
publishDate | 2015-01-01 |
publisher | Wiley |
record_format | Article |
series | The Scientific World Journal |
spelling | doaj-art-74e7f6450e6e41d9b4a3807ffb2c12a42025-02-03T07:25:18ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/858975858975Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making ModelRajkumar Rajavel0Mala Thangarathinam1Department of Information Science and Technology, Faculty of Information and Communication Engineering, Anna University, Chennai, Tamil Nadu 600025, IndiaDepartment of Information Science and Technology, Faculty of Information and Communication Engineering, Anna University, Chennai, Tamil Nadu 600025, IndiaOptimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.http://dx.doi.org/10.1155/2015/858975 |
spellingShingle | Rajkumar Rajavel Mala Thangarathinam Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model The Scientific World Journal |
title | Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model |
title_full | Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model |
title_fullStr | Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model |
title_full_unstemmed | Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model |
title_short | Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model |
title_sort | optimizing negotiation conflict in the cloud service negotiation framework using probabilistic decision making model |
url | http://dx.doi.org/10.1155/2015/858975 |
work_keys_str_mv | AT rajkumarrajavel optimizingnegotiationconflictinthecloudservicenegotiationframeworkusingprobabilisticdecisionmakingmodel AT malathangarathinam optimizingnegotiationconflictinthecloudservicenegotiationframeworkusingprobabilisticdecisionmakingmodel |