Adaptive policy-based approach for static and dynamic policy conflict detection
Policy-based approach has been mostly acknowledged as a methodology that separates the rules governing the behavior of a system from its functionality. It provides the ability to (re-)configure differentiated services networks so that desired Quality of Service (QoS) goals are achi...
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2012
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my.utm.363702022-07-05T06:43:48Z http://eprints.utm.my/id/eprint/36370/ Adaptive policy-based approach for static and dynamic policy conflict detection Mansor, A. A. Wan Kadir, W. M. N. Anwar, T. Elias, H. QA75 Electronic computers. Computer science Policy-based approach has been mostly acknowledged as a methodology that separates the rules governing the behavior of a system from its functionality. It provides the ability to (re-)configure differentiated services networks so that desired Quality of Service (QoS) goals are achieved, by considering administratively specified rules. Moreover, it promises to reduce maintenance costs of information and communication systems while improving flexibility and runtime adaptability. This paper presents a brief description on the properties of the most prominent approaches, identifying their advantages and disadvantages. Some evaluation criteria have been used to determine our research direction. We strongly believe that the results presented in this paper may provide some foundations to develop our framework. Furthermore, the proposed framework depends on static and dynamic analysis to reduce potential errors and avoid potential conflicts. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/36370/1/AbdelhamidAbdelhadiMansor2012_AdaptivePolicyBasedApproach.pdf Mansor, A. A. and Wan Kadir, W. M. N. and Anwar, T. and Elias, H. (2012) Adaptive policy-based approach for static and dynamic policy conflict detection. In: The International Conference on Informatics & Applications (ICIA 2012), 3-5 June 2012, University Sultan Zainal Abidin, Kuala Terengganu, Malaysia. |
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QA75 Electronic computers. Computer science Mansor, A. A. Wan Kadir, W. M. N. Anwar, T. Elias, H. Adaptive policy-based approach for static and dynamic policy conflict detection |
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Policy-based approach has been mostly acknowledged as a methodology that separates the rules governing the behavior of a system from its functionality. It provides the ability to (re-)configure differentiated services networks so that desired Quality of Service (QoS) goals are achieved, by considering administratively specified rules. Moreover, it promises to reduce maintenance costs of information and communication systems while improving flexibility and runtime adaptability. This paper presents a brief description on the properties of the most prominent approaches, identifying their advantages and disadvantages. Some evaluation criteria have been used to determine our research direction. We strongly believe that the results presented in this paper may provide some foundations to develop our framework. Furthermore, the proposed framework depends on static and dynamic analysis to reduce potential errors and avoid potential conflicts. |
format |
Conference or Workshop Item |
author |
Mansor, A. A. Wan Kadir, W. M. N. Anwar, T. Elias, H. |
author_facet |
Mansor, A. A. Wan Kadir, W. M. N. Anwar, T. Elias, H. |
author_sort |
Mansor, A. A. |
title |
Adaptive policy-based approach for static and dynamic policy conflict detection |
title_short |
Adaptive policy-based approach for static and dynamic policy conflict detection |
title_full |
Adaptive policy-based approach for static and dynamic policy conflict detection |
title_fullStr |
Adaptive policy-based approach for static and dynamic policy conflict detection |
title_full_unstemmed |
Adaptive policy-based approach for static and dynamic policy conflict detection |
title_sort |
adaptive policy-based approach for static and dynamic policy conflict detection |
publishDate |
2012 |
url |
http://eprints.utm.my/id/eprint/36370/1/AbdelhamidAbdelhadiMansor2012_AdaptivePolicyBasedApproach.pdf http://eprints.utm.my/id/eprint/36370/ |
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1738510296013602816 |