{"id":"https://openalex.org/W7202160466","doi":"https://doi.org/10.1145/3789240.3822608","title":"Cross-Layer IP/Optical Spectrum Planning: Modeling Fragmentation and Multiband Contention","display_name":"Cross-Layer IP/Optical Spectrum Planning: Modeling Fragmentation and Multiband Contention","publication_year":2026,"publication_date":"2026-08-11","ids":{"openalex":"https://openalex.org/W7202160466","doi":"https://doi.org/10.1145/3789240.3822608"},"language":null,"primary_location":{"id":"doi:10.1145/3789240.3822608","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3789240.3822608","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2026 Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3789240.3822608","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064243991","display_name":"Shrinivas Petale","orcid":"https://orcid.org/0000-0002-8188-958X"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrinivas Petale","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8188-958X","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037159194","display_name":"Xueqi He","orcid":"https://orcid.org/0000-0003-3630-317X"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueqi He","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3630-317X","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012363897","display_name":"Srivatsan Balasubramanian","orcid":"https://orcid.org/0009-0009-8198-7161"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srivatsan Balasubramanian","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0009-8198-7161","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028629317","display_name":"Grigory Pastukhov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Grigory Pastukhov","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0006-8762-3420","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101969810","display_name":"Varun Gupta","orcid":"https://orcid.org/0000-0002-8397-0023"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Gupta","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8397-0023","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101449008","display_name":"Biao Lu","orcid":"https://orcid.org/0009-0009-8417-326X"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biao Lu","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0009-8417-326X","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114444"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2122","last_page":"2127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.39100000262260437},{"id":"https://openalex.org/keywords/fragmentation","display_name":"Fragmentation (computing)","score":0.3619000017642975},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.2816999852657318},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.24549999833106995}],"concepts":[{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5856000185012817},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C191015642","wikidata":"https://www.wikidata.org/wiki/Q1132459","display_name":"Fragmentation (computing)","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2863999903202057},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.24549999833106995},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2184000015258789},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.20839999616146088},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.20600000023841858}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3789240.3822608","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3789240.3822608","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2026 Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3789240.3822608","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3789240.3822608","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGCOMM 2026 Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4396912219","https://openalex.org/W4406664961"],"related_works":[],"abstract_inverted_index":{"Backbone":[0,77],"networks":[1],"operated":[2],"by":[3,45,99],"cloud":[4],"providers":[5],"serving":[6],"AI":[7],"training":[8],"clusters":[9],"face":[10],"a":[11,83,114],"growing":[12],"disconnect":[13],"between":[14],"IP-layer":[15],"capacity":[16,27,116,129],"planning":[17,86,126],"and":[18,41,79,109,122],"optical-layer":[19,133],"physical":[20],"constraints:":[21],"IP":[22,80,97],"planners":[23],"decide":[24],"how":[25],"much":[26],"to":[28,56],"turn":[29],"up,":[30],"but":[31],"without":[32],"visibility":[33],"into":[34,113],"spectrum":[35,85,90],"fragmentation,":[36],"channel":[37,107],"placement,":[38],"ROADM":[39],"connectivity,":[40],"per-band":[42],"heterogeneity":[43],"introduced":[44],"multiband":[46],"(C+L)":[47],"transmission,":[48],"they":[49],"produce":[50],"plans":[51,130],"that":[52,88,124],"require":[53],"additional":[54],"iterations":[55],"converge":[57],"at":[58,70,91],"the":[59,63,92],"optical":[60],"layer.":[61],"Solving":[62],"joint":[64],"IP-optical":[65],"optimization":[66,117],"is":[67],"computationally":[68],"prohibitive":[69],"production":[71],"scale.":[72],"We":[73,119],"present":[74],"FABRIC":[75,121],"(Fragmentation-Aware":[76],"Resource":[78],"Capacity":[81],"planner),":[82],"cross-layer":[84],"system":[87],"models":[89],"lowest":[93],"frequency-slot":[94],"granularity,":[95],"groups":[96],"links":[98],"shared-risk":[100],"link":[101],"group,":[102],"computes":[103],"fragmentation":[104],"losses":[105],"from":[106],"data,":[108],"feeds":[110],"these":[111],"constraints":[112],"weekly":[115],"cycle.":[118],"evaluate":[120],"show":[123],"spectrum-aware":[125],"accurately":[127],"produces":[128],"grounded":[131],"in":[132],"reality.":[134]},"counts_by_year":[],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2026-08-12T00:00:00"}