{"id":"https://openalex.org/W7220142306","doi":null,"title":"Adaptive Resource Allocation in Cloud Data Centers: A Machine Learning-Driven Framework for Energy Efficiency and SLA Compliance","display_name":"Adaptive Resource Allocation in Cloud Data Centers: A Machine Learning-Driven Framework for Energy Efficiency and SLA Compliance","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W7220142306"},"language":"en","primary_location":{"id":"pmh:oai:oai.eccsubmit.com:article/4","doi":null,"is_oa":true,"landing_page_url":"https://eccsubmit.com/index.php/congress/article/view/4","pdf_url":"https://eccsubmit.com/index.php/congress/article/download/4/224","source":{"id":"https://openalex.org/S7407075903","display_name":"Electronics, Communications, and Computing Summit","issn_l":"3107-8222","issn":["3107-8222"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3107-8222","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://eccsubmit.com/index.php/congress/article/download/4/224","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116805938","display_name":"Prerna Dusi","orcid":"https://orcid.org/0009-0009-1824-9190","observed_orcids":["https://orcid.org/0009-0009-1824-9190"]},"institutions":[{"id":"https://openalex.org/I2800614057","display_name":"Kalinga University","ror":"https://ror.org/03afg5j45","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800614057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prerna Dusi","raw_affiliation_strings":["Assistant Professor, Department of Information Technology, Kalinga University, Raipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Department of Information Technology, Kalinga University, Raipur, India","institution_ids":["https://openalex.org/I2800614057"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016663134","display_name":"Gaurav Tamrakar","orcid":"https://orcid.org/0000-0002-3818-4365","observed_orcids":["https://orcid.org/0000-0002-3818-4365"]},"institutions":[{"id":"https://openalex.org/I2800614057","display_name":"Kalinga University","ror":"https://ror.org/03afg5j45","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800614057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dr.Gaurav Tamrakar","raw_affiliation_strings":["Assistant Professor, Department of Mechanical, Kalinga University, Raipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Department of Mechanical, Kalinga University, Raipur, India","institution_ids":["https://openalex.org/I2800614057"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800614057"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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":1.0,"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/T14098","display_name":"Energy Efficiency in Computing","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.0,"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/energy-efficiency","display_name":"energy efficiency","score":0.8970000147819519},{"id":"https://openalex.org/keywords/service-level-agreement-compliance","display_name":"service level agreement compliance","score":0.8840000033378601},{"id":"https://openalex.org/keywords/workload-prediction","display_name":"workload prediction","score":0.972000002861023},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.7910000085830688},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.796999990940094},{"id":"https://openalex.org/keywords/virtual-machine-placement","display_name":"virtual machine placement","score":0.9010000228881836},{"id":"https://openalex.org/keywords/virtual-machine-migration","display_name":"virtual machine migration","score":0.875},{"id":"https://openalex.org/keywords/energy-aware-task-scheduling","display_name":"power-aware scheduling","score":0.6970000267028809},{"id":"https://openalex.org/keywords/thermal-constraints","display_name":"thermal constraints","score":0.8019999861717224},{"id":"https://openalex.org/keywords/load-balancing","display_name":"load balancing","score":0.7699999809265137},{"id":"https://openalex.org/keywords/task-allocation","display_name":"task allocation","score":0.8859999775886536},{"id":"https://openalex.org/keywords/dynamic-resource-scaling","display_name":"dynamic resource scaling","score":0.6190000176429749},{"id":"https://openalex.org/keywords/cloudsim","display_name":"CloudSim","score":0.47099998593330383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105999827384949},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7210000157356262},{"id":"https://openalex.org/C2779907789","wikidata":"https://www.wikidata.org/wiki/Q22095616","display_name":"CloudSim","level":3,"score":0.6621999740600586},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6514000296592712},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5371000170707703},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5210000276565552},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5102999806404114},{"id":"https://openalex.org/C2778160497","wikidata":"https://www.wikidata.org/wiki/Q869830","display_name":"Service-level agreement","level":3,"score":0.5095000267028809},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.36340001225471497},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C2781055072","wikidata":"https://www.wikidata.org/wiki/Q25325266","display_name":"Cloudlet","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C142355369","wikidata":"https://www.wikidata.org/wiki/Q7698919","display_name":"Temporal isolation among virtual machines","level":4,"score":0.32910001277923584},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C51332947","wikidata":"https://www.wikidata.org/wiki/Q1172305","display_name":"Shared resource","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C2777958785","wikidata":"https://www.wikidata.org/wiki/Q17120940","display_name":"Resource efficiency","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C112904061","wikidata":"https://www.wikidata.org/wiki/Q1077480","display_name":"Hypervisor","level":4,"score":0.28130000829696655},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:oai.eccsubmit.com:article/4","doi":null,"is_oa":true,"landing_page_url":"https://eccsubmit.com/index.php/congress/article/view/4","pdf_url":"https://eccsubmit.com/index.php/congress/article/download/4/224","source":{"id":"https://openalex.org/S7407075903","display_name":"Electronics, Communications, and Computing Summit","issn_l":"3107-8222","issn":["3107-8222"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3107-8222","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:oai.eccsubmit.com:article/4","doi":null,"is_oa":true,"landing_page_url":"https://eccsubmit.com/index.php/congress/article/view/4","pdf_url":"https://eccsubmit.com/index.php/congress/article/download/4/224","source":{"id":"https://openalex.org/S7407075903","display_name":"Electronics, Communications, and Computing Summit","issn_l":"3107-8222","issn":["3107-8222"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3107-8222","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.7207000255584717}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220142306.pdf","grobid_xml":"https://content.openalex.org/works/W7220142306.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2103313056","https://openalex.org/W2110374615"],"related_works":["https://openalex.org/W7165390306","https://openalex.org/W4405373428","https://openalex.org/W7218150351","https://openalex.org/W7163364934","https://openalex.org/W7220797156","https://openalex.org/W7115720007","https://openalex.org/W7154857750","https://openalex.org/W4410058926","https://openalex.org/W7214309179","https://openalex.org/W2908089272"],"abstract_inverted_index":{"Cloud":[0],"data":[1,108,151],"centers":[2,109],"have":[3],"become":[4],"a":[5,97,128,156],"modern":[6],"revolution":[7],"in":[8,20,105,272],"the":[9,45,77,81,106,111,125,140,146,149,167,172,177,180,186,189,235,243,250,265,291,305,308,311],"digital":[10],"infrastructures,":[11],"providing":[12],"scalable":[13],"and":[14,29,47,69,83,116,155,182,195,197,207,222,228,262,281,303,315,330],"on-demand":[15],"provision":[16],"of":[17,37,50,71,80,124,143,148,152,179,185,246,252,274,287,293,307,313,327],"compute":[18],"services":[19],"myriad":[21],"applications.":[22],"Nevertheless":[23],"highly":[24],"dynamical":[25],"workloads,":[26],"user":[27,85],"demands":[28],"strict":[30],"Service":[31],"Level":[32],"Agreements":[33],"(SLAs)":[34],"are":[35,119,127,211],"sources":[36],"challenges":[38],"to":[39,44,63,75,90,138,165,201,268],"them":[40],"when":[41],"it":[42],"comes":[43],"efficient":[46],"responsive":[48],"deployment":[49],"resources.":[51],"Static":[52],"or":[53],"heuristic-based":[54],"resource":[55,102,153,173,300,334],"management":[56,301],"that":[57,134,161,239],"is":[58],"traditionally":[59],"used":[60,137,164],"frequently":[61],"leads":[62],"underutilized":[64],"resources,":[65,187],"higher":[66],"energy":[67,203,278],"consumption,":[68],"breaking":[70],"service-level":[72],"agreements":[73],"due":[74],"which":[76],"operational":[78],"effectiveness":[79],"system":[82],"its":[84],"satisfaction":[86],"decline.":[87],"In":[88],"order":[89],"manage":[91],"such":[92],"challenges,":[93],"this":[94],"paper":[95],"introduces":[96,198],"new":[98],"machine":[99,192,295],"learning-based":[100],"adaptive":[101],"allocation":[103],"framework":[104,126,309],"cloud":[107,299,317],"where":[110],"workload":[112,144],"prediction,":[113],"intelligent":[114,190],"scheduling,":[115],"energy-conscientious":[117],"decision-making":[118],"combined.":[120],"The":[121,225,285],"main":[122],"elements":[123],"Long":[129],"Short-Term":[130],"Memory":[131],"(LSTM)":[132],"model":[133],"can":[135,162],"be":[136,163,231,269],"predict":[139],"future":[141],"patterns":[142],"on":[145,234],"basis":[147],"historical":[150],"usage":[154,279],"Reinforcement":[157],"Learning":[158],"(RL)":[159],"agent":[160],"make":[166],"real-time":[168],"dynamic":[169],"decisions":[170],"regarding":[171],"distribution.":[174],"It":[175],"provides":[176],"support":[178],"vertical":[181],"horizontal":[183],"scaling":[184],"performs":[188],"virtual":[191],"(VM)":[193],"placement":[194],"migration,":[196],"power-aware":[199],"policy":[200],"reduce":[202],"wastage.":[204],"Load":[205],"balancing":[206],"effective":[208],"task":[209],"assignment":[210],"guaranteed":[212],"by":[213],"inserting":[214],"modular":[215],"scheduling":[216],"layer":[217],"provided":[218],"with":[219,257],"thermal":[220],"constraints":[221],"SLA":[223,275],"constraints.":[224],"architectural":[226],"implementation":[227],"validation":[229],"would":[230],"made":[232],"based":[233],"CloudSim":[236],"simulation":[237],"toolkit":[238],"could":[240],"figure":[241],"out":[242],"real-world":[244],"traces":[245],"workloads":[247],"taken":[248],"as":[249],"dataset":[251],"Google":[253],"Cluster.":[254],"Comparative":[255],"experiments":[256],"baselines":[258],"heuristics":[259],"-":[260],"FirstFit":[261],"BestFit":[263],"prove":[264],"offered":[266],"solution":[267],"much":[270],"better":[271],"terms":[273],"compliance":[276],"(17%),":[277],"(-23%),":[280],"resources":[282],"utilization":[283],"(-21%).":[284],"outcome":[286],"these":[288],"tests":[289],"confirms":[290],"usefulness":[292],"incorporating":[294],"learning":[296,326],"schemes":[297],"into":[298,324],"applications":[302],"reinforces":[304],"applicability":[306],"against":[310],"creation":[312],"sustainable":[314],"high-performance":[316],"computing":[318],"infrastructures.":[319],"Newer":[320],"advances":[321],"will":[322],"look":[323],"federated":[325],"multi-cloud":[328],"orchestration":[329],"carbon-x":[331],"architecture":[332],"focused":[333],"provisioning":[335],"for":[336],"greener":[337],"computing.":[338]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-05T00:00:00"}
