{"id":"https://openalex.org/W4386559518","doi":"https://doi.org/10.1109/access.2023.3313425","title":"A Novel Dynamic Pricing Approach for Preemptible Cloud Services","display_name":"A Novel Dynamic Pricing Approach for Preemptible Cloud Services","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386559518","doi":"https://doi.org/10.1109/access.2023.3313425"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3313425","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3313425","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10244200.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10244200.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070623989","display_name":"Huijie Peng","orcid":"https://orcid.org/0000-0003-0668-678X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Peng","raw_affiliation_strings":["School of Business, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0668-678X","affiliations":[{"raw_affiliation_string":"School of Business, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034552312","display_name":"Yan Cheng","orcid":"https://orcid.org/0000-0001-7142-1556"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Cheng","raw_affiliation_strings":["School of Business, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7142-1556","affiliations":[{"raw_affiliation_string":"School of Business, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.194561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"97807","last_page":"97825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694383978843689},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.6778075098991394},{"id":"https://openalex.org/keywords/preemption","display_name":"Preemption","score":0.6378405690193176},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6322805881500244},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.49210208654403687},{"id":"https://openalex.org/keywords/dynamic-pricing","display_name":"Dynamic pricing","score":0.4887835681438446},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.4715191125869751},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.46901291608810425},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4447157382965088},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4432516098022461},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.41422462463378906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17878514528274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694383978843689},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.6778075098991394},{"id":"https://openalex.org/C206952183","wikidata":"https://www.wikidata.org/wiki/Q1193100","display_name":"Preemption","level":2,"score":0.6378405690193176},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6322805881500244},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.49210208654403687},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.4887835681438446},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.4715191125869751},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.46901291608810425},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4447157382965088},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4432516098022461},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.41422462463378906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17878514528274536},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C133425853","wikidata":"https://www.wikidata.org/wiki/Q60571","display_name":"Neoclassical economics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3313425","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3313425","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10244200.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7908db2a0f2e40549b5131399e6e0846","is_oa":true,"landing_page_url":"https://doaj.org/article/7908db2a0f2e40549b5131399e6e0846","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 97807-97825 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3313425","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2023.3313425","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10244200.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386559518.pdf","grobid_xml":"https://content.openalex.org/works/W4386559518.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W561749035","https://openalex.org/W1483365869","https://openalex.org/W1983243219","https://openalex.org/W1983470923","https://openalex.org/W1987659801","https://openalex.org/W2013275264","https://openalex.org/W2113114112","https://openalex.org/W2114296561","https://openalex.org/W2131415239","https://openalex.org/W2155825060","https://openalex.org/W2343935207","https://openalex.org/W2344944957","https://openalex.org/W2552108970","https://openalex.org/W2569811436","https://openalex.org/W2751313252","https://openalex.org/W2775070688","https://openalex.org/W2795276745","https://openalex.org/W2805220021","https://openalex.org/W2810610216","https://openalex.org/W2898083717","https://openalex.org/W2898777543","https://openalex.org/W2912662288","https://openalex.org/W2937747108","https://openalex.org/W2963479259","https://openalex.org/W2968653337","https://openalex.org/W3091699330","https://openalex.org/W3123482145","https://openalex.org/W3165752541","https://openalex.org/W3217174239","https://openalex.org/W4281924735","https://openalex.org/W4288365487","https://openalex.org/W4293061149","https://openalex.org/W4320492620","https://openalex.org/W6628808406","https://openalex.org/W6704438963","https://openalex.org/W6762824229"],"related_works":["https://openalex.org/W3191866865","https://openalex.org/W840708677","https://openalex.org/W2361541374","https://openalex.org/W1439300391","https://openalex.org/W1970491116","https://openalex.org/W2888133284","https://openalex.org/W1570112753","https://openalex.org/W601696587","https://openalex.org/W4386521944","https://openalex.org/W2978786594"],"abstract_inverted_index":{"Dynamic":[0],"pricing":[1],"for":[2,108,115,124,134,176],"preemptible":[3],"cloud":[4,17],"services":[5],"(DPPCS)":[6],"is":[7,30,60],"highly":[8],"demanded":[9],"to":[10,184,186,202],"effectively":[11],"utilize":[12],"the":[13,20,44,70,80,90,99,116,136,156,160,165,187,195,217,222],"excess":[14,24,213],"capacity":[15,25,214],"in":[16,43,159,208],"computing.":[18],"However,":[19],"dynamic":[21],"nature":[22],"of":[23,197],"exhibits":[26],"high":[27],"non-stationarity,":[28],"which":[29,88,148,178],"characterized":[31],"by":[32,62],"multi-temporal":[33,188],"stochastic":[34],"patterns":[35],"with":[36,54],"time-varying":[37],"statistical":[38],"properties.":[39],"The":[40],"non-stationarity":[41],"results":[42],"DPPCS":[45,59,71],"problem":[46,72],"being":[47],"a":[48,63,74,83,104,121,130,143,151,170],"Non-Stationary":[49,172],"Markov":[50],"Decision":[51],"Process":[52],"(NSMDP)":[53],"unknown":[55,117],"transition":[56],"probabilities.":[57],"Moreover,":[58],"constrained":[61],"certain":[64],"maximum":[65],"preemption":[66,138,157,219],"rate,":[67],"further":[68],"complicating":[69],"as":[73],"Constrained":[75,171],"NSMDP":[76],"(CNSMDP).":[77],"We":[78,110],"transform":[79],"CNSMDP":[81,91],"into":[82,92],"piecewise":[84],"Lagrangian":[85],"dual":[86],"model,":[87],"converts":[89],"an":[93],"unconstrained":[94],"optimization":[95],"problem.":[96],"To":[97],"solve":[98],"above":[100,166],"problem,":[101],"we":[102,141,168,193],"propose":[103],"novel":[105],"Q-Learning":[106,173],"approach":[107,200],"DPPCS.":[109],"first":[111],"present":[112],"estimation":[113],"methods":[114],"environment":[118],"parameters,":[119],"including":[120],"detection":[122],"method":[123,133],"identifying":[125],"temporal":[126],"pattern":[127],"changes,":[128],"and":[129,155],"diffusion":[131],"approximation":[132],"estimating":[135],"actual":[137,218],"rate.":[139],"Then,":[140],"introduce":[142],"Lagrange":[144],"multiplier":[145],"updating":[146],"method,":[147],"can":[149],"strike":[150],"balance":[152],"between":[153],"revenue":[154,210],"rate":[158,220],"reward":[161],"function.":[162],"Building":[163],"upon":[164],"methods,":[167],"develop":[169],"(CNSQL)":[174],"algorithm":[175],"DPPCS,":[177],"dynamically":[179],"adjusts":[180],"its":[181],"learning":[182],"process":[183],"adapt":[185],"patterns.":[189],"Through":[190],"simulated":[191],"experiments,":[192],"demonstrate":[194],"effectiveness":[196],"our":[198],"proposed":[199],"compared":[201],"state-of-the-art":[203],"algorithms.":[204],"It":[205],"performs":[206],"well":[207],"improving":[209],"generated":[211],"from":[212],"while":[215],"maintaining":[216],"within":[221],"specified":[223],"constraint.":[224]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
