Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings
The intense diversity of the Next-Generation Networking environments like 6G and the forthcoming deployment of immersive applications with varied user-specific requirements transform the efficient allocation of resources into a real challenge. Traditional solutions like the shortest path algorithm a...
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MDPI AG
2024-11-01
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| Series: | Telecom |
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| Online Access: | https://www.mdpi.com/2673-4001/5/4/57 |
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| author | Stelios Prekas Panagiotis A. Karkazis Panagiotis Trakadas |
| author_facet | Stelios Prekas Panagiotis A. Karkazis Panagiotis Trakadas |
| author_sort | Stelios Prekas |
| collection | DOAJ |
| description | The intense diversity of the Next-Generation Networking environments like 6G and the forthcoming deployment of immersive applications with varied user-specific requirements transform the efficient allocation of resources into a real challenge. Traditional solutions like the shortest path algorithm and mono-constraint methodologies are inadequate to handle customized user-defined performance parameters and effectively classify physical resources according to these intricate demands. This research offers a new evaluation mechanism to successfully replace the aforementioned traditional path ranking and path selection techniques. Specifically, the proposed framework is integrated with optimization-oriented metrics, each indicating a unique aspect of performance for evaluating candidate network paths. The deployed metrics are then algebraically synthesized to provide a distinctive multidimensional description of the examined substrate resources. These primary and composite metrics adhere to the fundamental monotonicity and isotonicity properties of a Path Algebra; hence, the validity and optimality of the proposed evaluation mechanism is guaranteed by design. To tackle the complexity created by the variety of human-centric customization, a novel methodology that analyzes and determines the weighted influence of the synthesized metrics depending on the characteristics of the served user-centric application is also introduced. The chosen suitable weights address performance-oriented mission-critical tailored objectives for adaptive optimizations. Its innovative algebraic design allows it to successfully describe and rank candidate paths in a versatile way, whether in legacy or modern architectures. The experimental data of the first scenario show that 62.5% and 50% of highlighted path evaluations proposed by the shortest path and unidimensional constraint strategies, respectively, suffer from moderate performance-oriented values compared to the proposed framework. Likewise, the results of the second examined scenario reveal that the proposed composite metric yields more suitable path rankings by 50% in contrast to its traditional counterparts, rendering the contested evaluation mechanisms obsolete. |
| format | Article |
| id | doaj-art-79105080c3ee40dbbe315a7e65a3e262 |
| institution | DOAJ |
| issn | 2673-4001 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Telecom |
| spelling | doaj-art-79105080c3ee40dbbe315a7e65a3e2622025-08-20T02:57:04ZengMDPI AGTelecom2673-40012024-11-01541129116010.3390/telecom5040057Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network EmbeddingsStelios Prekas0Panagiotis A. Karkazis1Panagiotis Trakadas2Department of Informatics and Computer Engineering, School of Engineering, University of West Attica, Agiou Spyridonos Street, 12243 Egaleo, GreeceDepartment of Informatics and Computer Engineering, School of Engineering, University of West Attica, Agiou Spyridonos Street, 12243 Egaleo, GreeceDepartment of Ports Management and Shipping, National and Kapodistrian University of Athens, 34400 Psachna, GreeceThe intense diversity of the Next-Generation Networking environments like 6G and the forthcoming deployment of immersive applications with varied user-specific requirements transform the efficient allocation of resources into a real challenge. Traditional solutions like the shortest path algorithm and mono-constraint methodologies are inadequate to handle customized user-defined performance parameters and effectively classify physical resources according to these intricate demands. This research offers a new evaluation mechanism to successfully replace the aforementioned traditional path ranking and path selection techniques. Specifically, the proposed framework is integrated with optimization-oriented metrics, each indicating a unique aspect of performance for evaluating candidate network paths. The deployed metrics are then algebraically synthesized to provide a distinctive multidimensional description of the examined substrate resources. These primary and composite metrics adhere to the fundamental monotonicity and isotonicity properties of a Path Algebra; hence, the validity and optimality of the proposed evaluation mechanism is guaranteed by design. To tackle the complexity created by the variety of human-centric customization, a novel methodology that analyzes and determines the weighted influence of the synthesized metrics depending on the characteristics of the served user-centric application is also introduced. The chosen suitable weights address performance-oriented mission-critical tailored objectives for adaptive optimizations. Its innovative algebraic design allows it to successfully describe and rank candidate paths in a versatile way, whether in legacy or modern architectures. The experimental data of the first scenario show that 62.5% and 50% of highlighted path evaluations proposed by the shortest path and unidimensional constraint strategies, respectively, suffer from moderate performance-oriented values compared to the proposed framework. Likewise, the results of the second examined scenario reveal that the proposed composite metric yields more suitable path rankings by 50% in contrast to its traditional counterparts, rendering the contested evaluation mechanisms obsolete.https://www.mdpi.com/2673-4001/5/4/57path algebracomposite metricpath enumerationvirtual network embeddings |
| spellingShingle | Stelios Prekas Panagiotis A. Karkazis Panagiotis Trakadas Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings Telecom path algebra composite metric path enumeration virtual network embeddings |
| title | Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings |
| title_full | Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings |
| title_fullStr | Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings |
| title_full_unstemmed | Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings |
| title_short | Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings |
| title_sort | path algebra driven classification solution to realize user centric performance oriented virtual network embeddings |
| topic | path algebra composite metric path enumeration virtual network embeddings |
| url | https://www.mdpi.com/2673-4001/5/4/57 |
| work_keys_str_mv | AT steliosprekas pathalgebradrivenclassificationsolutiontorealizeusercentricperformanceorientedvirtualnetworkembeddings AT panagiotisakarkazis pathalgebradrivenclassificationsolutiontorealizeusercentricperformanceorientedvirtualnetworkembeddings AT panagiotistrakadas pathalgebradrivenclassificationsolutiontorealizeusercentricperformanceorientedvirtualnetworkembeddings |