{"id":"https://openalex.org/W1947216035","doi":"https://doi.org/10.1109/icc.2003.1204186","title":"Solution space of loss tomography","display_name":"Solution space of loss tomography","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W1947216035","doi":"https://doi.org/10.1109/icc.2003.1204186","mag":"1947216035"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2003.1204186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2003.1204186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2003. ICC '03.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100696711","display_name":"Weiping Zhu","orcid":"https://orcid.org/0000-0002-6646-0793"},"institutions":[{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Weiping Zhu","raw_affiliation_strings":["School of Computer Science, ADFA, University of New South Wales, ACT, Australia","Sch. of Comput. Sci., New South Wales Univ., Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, ADFA, University of New South Wales, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Comput. Sci., New South Wales Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100696711"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I40053085"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07832775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"286","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7883355617523193},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6994501352310181},{"id":"https://openalex.org/keywords/network-tomography","display_name":"Network tomography","score":0.6723927855491638},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6610148549079895},{"id":"https://openalex.org/keywords/bernoulli-process","display_name":"Bernoulli process","score":0.5652345418930054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5506941676139832},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5291792750358582},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5022225379943848},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4970133602619171},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45445728302001953},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.44661611318588257},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.43411242961883545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35488075017929077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23150226473808289},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17251056432724},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08394977450370789}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7883355617523193},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6994501352310181},{"id":"https://openalex.org/C146368544","wikidata":"https://www.wikidata.org/wiki/Q3408544","display_name":"Network tomography","level":3,"score":0.6723927855491638},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6610148549079895},{"id":"https://openalex.org/C23990920","wikidata":"https://www.wikidata.org/wiki/Q518831","display_name":"Bernoulli process","level":3,"score":0.5652345418930054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5506941676139832},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5291792750358582},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5022225379943848},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4970133602619171},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45445728302001953},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.44661611318588257},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.43411242961883545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35488075017929077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23150226473808289},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17251056432724},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08394977450370789},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2003.1204186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2003.1204186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2003. ICC '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W185668311","https://openalex.org/W2031094253","https://openalex.org/W2130905185","https://openalex.org/W2151927301","https://openalex.org/W2163935672","https://openalex.org/W2295569936","https://openalex.org/W4243349849"],"related_works":["https://openalex.org/W1965445247","https://openalex.org/W1532661502","https://openalex.org/W2614254025","https://openalex.org/W2057070106","https://openalex.org/W4206788352","https://openalex.org/W4236327034","https://openalex.org/W2129020938","https://openalex.org/W265990816","https://openalex.org/W2974666701","https://openalex.org/W4233225180"],"abstract_inverted_index":{"Loss":[0],"tomography":[1],"aims":[2],"to":[3,39,52,89],"obtain":[4],"the":[5,24,63,67,74,79,84,98,110,114,131,144],"loss":[6,19,75],"rate":[7],"of":[8,45,61,66,113],"each":[9],"link":[10,125],"in":[11],"a":[12,59,90,102,124],"network":[13],"by":[14,78],"end-to-end":[15],"measurement.":[16],"Based":[17],"on":[18,36,49,108,123],"rates":[20,76],"we":[21,96],"can":[22,142],"understand":[23],"traffic":[25],"flows":[26],"and":[27,43,106],"identify":[28,143],"bottlenecks.":[29],"All":[30],"methods":[31],"proposed":[32],"so":[33],"far":[34],"rely":[35],"statistical":[37],"inference":[38,99],"achieve":[40],"this":[41,94],"goal,":[42],"most":[44],"them":[46],"are":[47],"based":[48],"maximum":[50,80],"likelihood":[51,81],"infer":[53],"hidden":[54],"information.":[55],"However,":[56],"there":[57],"is":[58,126,134],"lack":[60],"studying":[62,109],"solution":[64,85,111,132],"space":[65,112,133],"inference,":[68],"which":[69,136],"may":[70],"create":[71],"uncertainty":[72],"for":[73],"identified":[77,86],"approach":[82],"since":[83],"could":[87],"trap":[88],"local":[91],"maximum.":[92,146],"In":[93],"paper,":[95],"reformulate":[97],"process":[100],"into":[101],"nonlinear":[103],"programming":[104,116],"problem":[105],"concentrate":[107],"non-linear":[115],"problem.":[117],"We":[118],"find":[119],"when":[120],"losses":[121],"occurred":[122],"modeled":[127],"as":[128],"Bernoulli":[129],"process,":[130],"concave,":[135],"ensures":[137],"an":[138],"iterative":[139],"approximating":[140],"algorithm":[141],"global":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}