Comparison of two path restoration schemes in self-healing networks |
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| Affiliation: | 1. Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA;2. INRS-Telecommunications, 16 Place du Commerce, Verdun, Que., Canada H3E 1H6;1. Department of Chemical and Environmental Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia;2. Department of Chemical Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;3. School of Engineering and Information Technology, Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia;1. Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czechia;2. Central European Institute of Technology, Brno University of Technology, Purkynova 123, CZ-612 00 Brno, Czechia;3. Department of Physiology and Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Kamenice 5, CZ-625 00 Brno, Czechia;1. School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou, 310018, PR China;2. Zhejiang Electric Power Test & Research Institute, Hangzhou, 310014, PR China;1. Departamento de Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica, Universidad de Cádiz, Campus Rio San Pedro s/n., 11510 Puerto Real (Cádiz), Spain;2. Dpto. Química Aplicada, UFI 11/56, Universidad del País Vasco, San Sebastián 28080, Spain;3. LENS-MIND-IN2UB Dpt. d’Electrònica, Universitat de Barcelona, Barcelona 08028, Spain;4. Institut de Ciència de Materials de Barcelona-CSIC, Campus UAB, 08193, Spain;1. School of Chemical Engineering and technology, Tianjin University, Tianjin 300072, China;2. National Engineering Research Center of Distillation Technology, Tianjin 300072, China;3. Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, China |
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| Abstract: | The state-independent (SI) and state-dependent (SD) path restoration schemes for self-healing networks are studied in this paper. The integer programming (IP) formulations for the spare capacity allocation and restoration flow assignment are first presented. Based on the optimal IP solutions, the SI and SD restoration schemes are then compared quantitatively in terms of spare capacity requirement (SCR), restoration time, VPI (virtual path identifier) redundancy (in ATM) and nodal storage capacity requirement. The comparison is based on spare optimization, single link failure scenario and 100% restoration. The SCR is also compared under single node failure scenario. It is observed that using group VP (virtual path) restoration (for either SI or SD) can substantially reduce the restoration time with only a small increase in spare capacity cost. Further, the SI restoration seems better than the SD restoration for the cases we have studied, at least in spare optimization, as its implementation is relatively easier and the difference in SCR between SI and SD is not significant. The economies of scale in transmission facility cost is also investigated in the paper. |
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