{"id":"https://openalex.org/W7138242819","doi":"https://doi.org/10.1504/ijcc.2026.152356","title":"RL-MEOPS: reinforcement learning-driven memory energy optimisation via hybrid slack-aware control","display_name":"RL-MEOPS: reinforcement learning-driven memory energy optimisation via hybrid slack-aware control","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7138242819","doi":"https://doi.org/10.1504/ijcc.2026.152356"},"language":"en","primary_location":{"id":"doi:10.1504/ijcc.2026.152356","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcc.2026.152356","pdf_url":null,"source":{"id":"https://openalex.org/S4210172516","display_name":"International Journal of Cloud Computing","issn_l":"2043-9989","issn":["2043-9989","2043-9997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cloud Computing","raw_type":"journal-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/A5006908486","display_name":"Sai Feng Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I27688046","display_name":"Hunan Institute of Engineering","ror":"https://ror.org/03zj2rn70","country_code":"CN","type":"education","lineage":["https://openalex.org/I27688046"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sai Feng Zeng","raw_affiliation_strings":["Department of Computer and Communication, Hunan Institute of Engineering, Xiangtan, 411104, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Communication, Hunan Institute of Engineering, Xiangtan, 411104, China","institution_ids":["https://openalex.org/I27688046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006908486"],"corresponding_institution_ids":["https://openalex.org/I27688046"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32624675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":"17","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.4772999882698059,"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":0.4772999882698059,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.34950000047683716,"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/T12127","display_name":"Software System Performance and Reliability","score":0.0430000014603138,"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/adaptability","display_name":"Adaptability","score":0.6733999848365784},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6168000102043152},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.611299991607666},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5651999711990356},{"id":"https://openalex.org/keywords/idle","display_name":"Idle","score":0.5468000173568726},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5378999710083008},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4894999861717224},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4643999934196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885000109672546},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6733999848365784},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6168000102043152},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.611299991607666},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5651999711990356},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5378999710083008},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4643999934196472},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44209998846054077},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3926999866962433},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.3449000120162964},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.31439998745918274},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.31209999322891235},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcc.2026.152356","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcc.2026.152356","pdf_url":null,"source":{"id":"https://openalex.org/S4210172516","display_name":"International Journal of Cloud Computing","issn_l":"2043-9989","issn":["2043-9989","2043-9997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cloud Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.904140830039978,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"datacentres":[1],"demand":[2],"memory":[3,55],"energy":[4,32,77,95],"optimisation":[5],"without":[6],"compromising":[7],"performance,":[8],"yet":[9],"existing":[10],"methods":[11],"struggle":[12],"with":[13,48],"dynamic":[14],"workloads":[15,85],"and":[16,34,58,83,97,107],"delayed":[17],"responsiveness.":[18],"To":[19],"address":[20],"this,":[21],"we":[22],"propose":[23],"RL-MEOPS,":[24],"a":[25],"reinforcement":[26],"learning-enhanced":[27],"framework":[28],"that":[29],"dynamically":[30],"balances":[31],"efficiency":[33],"performance":[35,50],"guarantees":[36],"via":[37],"hybrid":[38],"slack-driven":[39],"control.":[40],"Our":[41],"approach":[42],"integrates":[43],"an":[44],"RL-based":[45],"predictive":[46],"model":[47],"runtime":[49,109],"slack":[51,70],"constraints,":[52],"enabling":[53],"proactive":[54],"frequency":[56],"scaling":[57],"powerdown":[59],"state":[60],"transitions":[61],"during":[62],"idle":[63],"intervals.":[64],"A":[65],"safety":[66],"layer":[67],"enforces":[68],"strict":[69],"adherence,":[71],"while":[72],"dual-mode":[73],"operation":[74],"maximises":[75],"additive":[76],"savings.":[78],"Evaluations":[79],"across":[80],"compute-intensive,":[81],"memory-intensive,":[82],"balanced":[84],"demonstrate":[86],"RL-MEOPS's":[87],"superiority":[88],"over":[89],"state-of-the-art":[90],"baselines":[91],"in":[92,116],"terms":[93],"of":[94],"savings":[96],"other":[98],"metrics.":[99],"The":[100],"framework's":[101],"adaptability":[102],"to":[103],"workload":[104],"phase":[105],"shifts":[106],"minimal":[108],"overhead":[110],"highlight":[111],"its":[112],"practicality":[113],"for":[114],"deployment":[115],"energy-constrained":[117],"systems.":[118]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
