Heuristic methods for single link shared backup path protection
Protecting communication networks against failures is becoming increasingly important as they have become an integrated part of our society. Cable failures are fairly common, but it is unacceptable for a single cable failure to disconnect communication for more than a few seconds—hence protection sc...
Gespeichert in:
Veröffentlicht in: | Journal of heuristics 2014-10, Vol.20 (5), p.539-560 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 560 |
---|---|
container_issue | 5 |
container_start_page | 539 |
container_title | Journal of heuristics |
container_volume | 20 |
creator | Haahr, Jørgen Thorlund Stidsen, Thomas Zachariasen, Martin |
description | Protecting communication networks against failures is becoming increasingly important as they have become an integrated part of our society. Cable failures are fairly common, but it is unacceptable for a single cable failure to disconnect communication for more than a few seconds—hence protection schemes are employed. In contrast to manual intervention, automatic protection schemes such as shared backup path protection (SBPP) can recover from failure quickly and efficiently. SBPP is a simple but efficient protection scheme that can be implemented in backbone networks with technology available today. In SBPP backup paths are planned in advance for every failure scenario in order to recover from failures quickly and efficiently. Planning SBPP is an NP-hard optimization problem, and previous work confirms that it is time-consuming to solve the problem in practice using exact methods. We present heuristic algorithms and lower bound methods for the SBPP planning problem. Experimental results show that the heuristic algorithms are able to find good quality solutions in minutes. A solution gap of less than
3.5
%
was achieved for 5 of 7 benchmark instances (and a gap of less than
11
%
for the remaining instances.) |
doi_str_mv | 10.1007/s10732-014-9248-z |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1560432412</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3424672611</sourcerecordid><originalsourceid>FETCH-LOGICAL-c301t-8d91e26a36c00dc6861041772e7714b13ddd5a9a0ac26169c8e2a11b9a4f346c3</originalsourceid><addsrcrecordid>eNp1kLtOwzAUhi0EEiXwAGyWmA3n2I4dTwhVQJEqscBsuY7Tppck2MlAn55UYWBhOv_wX3Q-Qm4R7hFAPyQELTgDlMxwWbDjGZlhrjkzwujzUYsCGXKBl-QqpS0AmCIXM_K4CEOsU197egj9pi0TrdpIU92s94Hu62ZH08bFUNKV87uho53rN7SLbR98X7fNNbmo3D6Fm9-bkc-X54_5gi3fX9_mT0vmBWDPitJg4MoJ5QFKrwqFIFFrHrRGuUJRlmXujAPnuUJlfBG4Q1wZJyshlRcZuZt6x-mvIaTebtshNuOkxVyBFFyO32UEJ5ePbUoxVLaL9cHFb4tgT5zsxMmOnOyJkz2OGT5l0uht1iH-af439AOLVGqV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1560432412</pqid></control><display><type>article</type><title>Heuristic methods for single link shared backup path protection</title><source>Springer Online Journals Complete</source><creator>Haahr, Jørgen Thorlund ; Stidsen, Thomas ; Zachariasen, Martin</creator><creatorcontrib>Haahr, Jørgen Thorlund ; Stidsen, Thomas ; Zachariasen, Martin</creatorcontrib><description>Protecting communication networks against failures is becoming increasingly important as they have become an integrated part of our society. Cable failures are fairly common, but it is unacceptable for a single cable failure to disconnect communication for more than a few seconds—hence protection schemes are employed. In contrast to manual intervention, automatic protection schemes such as shared backup path protection (SBPP) can recover from failure quickly and efficiently. SBPP is a simple but efficient protection scheme that can be implemented in backbone networks with technology available today. In SBPP backup paths are planned in advance for every failure scenario in order to recover from failures quickly and efficiently. Planning SBPP is an NP-hard optimization problem, and previous work confirms that it is time-consuming to solve the problem in practice using exact methods. We present heuristic algorithms and lower bound methods for the SBPP planning problem. Experimental results show that the heuristic algorithms are able to find good quality solutions in minutes. A solution gap of less than
3.5
%
was achieved for 5 of 7 benchmark instances (and a gap of less than
11
%
for the remaining instances.)</description><identifier>ISSN: 1381-1231</identifier><identifier>EISSN: 1572-9397</identifier><identifier>DOI: 10.1007/s10732-014-9248-z</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Algorithms ; Artificial Intelligence ; Calculus of Variations and Optimal Control; Optimization ; Communication ; Communications networks ; Failure ; Heuristic ; Management Science ; Mathematics ; Mathematics and Statistics ; Operations Research ; Operations Research/Decision Theory ; Studies</subject><ispartof>Journal of heuristics, 2014-10, Vol.20 (5), p.539-560</ispartof><rights>Springer Science+Business Media New York 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c301t-8d91e26a36c00dc6861041772e7714b13ddd5a9a0ac26169c8e2a11b9a4f346c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10732-014-9248-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10732-014-9248-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Haahr, Jørgen Thorlund</creatorcontrib><creatorcontrib>Stidsen, Thomas</creatorcontrib><creatorcontrib>Zachariasen, Martin</creatorcontrib><title>Heuristic methods for single link shared backup path protection</title><title>Journal of heuristics</title><addtitle>J Heuristics</addtitle><description>Protecting communication networks against failures is becoming increasingly important as they have become an integrated part of our society. Cable failures are fairly common, but it is unacceptable for a single cable failure to disconnect communication for more than a few seconds—hence protection schemes are employed. In contrast to manual intervention, automatic protection schemes such as shared backup path protection (SBPP) can recover from failure quickly and efficiently. SBPP is a simple but efficient protection scheme that can be implemented in backbone networks with technology available today. In SBPP backup paths are planned in advance for every failure scenario in order to recover from failures quickly and efficiently. Planning SBPP is an NP-hard optimization problem, and previous work confirms that it is time-consuming to solve the problem in practice using exact methods. We present heuristic algorithms and lower bound methods for the SBPP planning problem. Experimental results show that the heuristic algorithms are able to find good quality solutions in minutes. A solution gap of less than
3.5
%
was achieved for 5 of 7 benchmark instances (and a gap of less than
11
%
for the remaining instances.)</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Calculus of Variations and Optimal Control; Optimization</subject><subject>Communication</subject><subject>Communications networks</subject><subject>Failure</subject><subject>Heuristic</subject><subject>Management Science</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Operations Research</subject><subject>Operations Research/Decision Theory</subject><subject>Studies</subject><issn>1381-1231</issn><issn>1572-9397</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kLtOwzAUhi0EEiXwAGyWmA3n2I4dTwhVQJEqscBsuY7Tppck2MlAn55UYWBhOv_wX3Q-Qm4R7hFAPyQELTgDlMxwWbDjGZlhrjkzwujzUYsCGXKBl-QqpS0AmCIXM_K4CEOsU197egj9pi0TrdpIU92s94Hu62ZH08bFUNKV87uho53rN7SLbR98X7fNNbmo3D6Fm9-bkc-X54_5gi3fX9_mT0vmBWDPitJg4MoJ5QFKrwqFIFFrHrRGuUJRlmXujAPnuUJlfBG4Q1wZJyshlRcZuZt6x-mvIaTebtshNuOkxVyBFFyO32UEJ5ePbUoxVLaL9cHFb4tgT5zsxMmOnOyJkz2OGT5l0uht1iH-af439AOLVGqV</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Haahr, Jørgen Thorlund</creator><creator>Stidsen, Thomas</creator><creator>Zachariasen, Martin</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>M0C</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20141001</creationdate><title>Heuristic methods for single link shared backup path protection</title><author>Haahr, Jørgen Thorlund ; Stidsen, Thomas ; Zachariasen, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c301t-8d91e26a36c00dc6861041772e7714b13ddd5a9a0ac26169c8e2a11b9a4f346c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Calculus of Variations and Optimal Control; Optimization</topic><topic>Communication</topic><topic>Communications networks</topic><topic>Failure</topic><topic>Heuristic</topic><topic>Management Science</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Operations Research</topic><topic>Operations Research/Decision Theory</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haahr, Jørgen Thorlund</creatorcontrib><creatorcontrib>Stidsen, Thomas</creatorcontrib><creatorcontrib>Zachariasen, Martin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of heuristics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haahr, Jørgen Thorlund</au><au>Stidsen, Thomas</au><au>Zachariasen, Martin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heuristic methods for single link shared backup path protection</atitle><jtitle>Journal of heuristics</jtitle><stitle>J Heuristics</stitle><date>2014-10-01</date><risdate>2014</risdate><volume>20</volume><issue>5</issue><spage>539</spage><epage>560</epage><pages>539-560</pages><issn>1381-1231</issn><eissn>1572-9397</eissn><abstract>Protecting communication networks against failures is becoming increasingly important as they have become an integrated part of our society. Cable failures are fairly common, but it is unacceptable for a single cable failure to disconnect communication for more than a few seconds—hence protection schemes are employed. In contrast to manual intervention, automatic protection schemes such as shared backup path protection (SBPP) can recover from failure quickly and efficiently. SBPP is a simple but efficient protection scheme that can be implemented in backbone networks with technology available today. In SBPP backup paths are planned in advance for every failure scenario in order to recover from failures quickly and efficiently. Planning SBPP is an NP-hard optimization problem, and previous work confirms that it is time-consuming to solve the problem in practice using exact methods. We present heuristic algorithms and lower bound methods for the SBPP planning problem. Experimental results show that the heuristic algorithms are able to find good quality solutions in minutes. A solution gap of less than
3.5
%
was achieved for 5 of 7 benchmark instances (and a gap of less than
11
%
for the remaining instances.)</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s10732-014-9248-z</doi><tpages>22</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1381-1231 |
ispartof | Journal of heuristics, 2014-10, Vol.20 (5), p.539-560 |
issn | 1381-1231 1572-9397 |
language | eng |
recordid | cdi_proquest_journals_1560432412 |
source | Springer Online Journals Complete |
subjects | Algorithms Artificial Intelligence Calculus of Variations and Optimal Control Optimization Communication Communications networks Failure Heuristic Management Science Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Studies |
title | Heuristic methods for single link shared backup path protection |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T15%3A56%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Heuristic%20methods%20for%20single%20link%20shared%20backup%20path%20protection&rft.jtitle=Journal%20of%20heuristics&rft.au=Haahr,%20J%C3%B8rgen%20Thorlund&rft.date=2014-10-01&rft.volume=20&rft.issue=5&rft.spage=539&rft.epage=560&rft.pages=539-560&rft.issn=1381-1231&rft.eissn=1572-9397&rft_id=info:doi/10.1007/s10732-014-9248-z&rft_dat=%3Cproquest_cross%3E3424672611%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1560432412&rft_id=info:pmid/&rfr_iscdi=true |