{"id":"https://openalex.org/W7081978087","doi":"https://doi.org/10.1504/ijguc.2025.148546","title":"SHO: an efficient multi-objective task scheduling in hybrid cloud-fog computing environment","display_name":"SHO: an efficient multi-objective task scheduling in hybrid cloud-fog computing environment","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7081978087","doi":"https://doi.org/10.1504/ijguc.2025.148546"},"language":"en","primary_location":{"id":"doi:10.1504/ijguc.2025.148546","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijguc.2025.148546","pdf_url":null,"source":{"id":"https://openalex.org/S42446796","display_name":"International Journal of Grid and Utility Computing","issn_l":"1741-847X","issn":["1741-847X","1741-8488"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and Utility 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":null,"display_name":"Santhosh Kumar Medishetti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santhosh Kumar Medishetti","raw_affiliation_strings":["School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravathi, Andhra Pradesh, India; Nalla Narasimha Reddy Education Society's Group of Institutions, Hyderabad, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravathi, Andhra Pradesh, India; Nalla Narasimha Reddy Education Society's Group of Institutions, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ganesh Reddy Karri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganesh Reddy Karri","raw_affiliation_strings":["School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravathi, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravathi, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9059634,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"16","issue":"5/6","first_page":"561","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6657000184059143,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6657000184059143,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13067","display_name":"Geological Modeling and Analysis","score":0.028200000524520874,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.01850000023841858,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6952999830245972},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6323000192642212},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5551000237464905},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5235999822616577},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5090000033378601},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.4659000039100647},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3905999958515167},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.35749998688697815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8673999905586243},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6952999830245972},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6733999848365784},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6323000192642212},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5235999822616577},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.4659000039100647},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3905999958515167},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.35749998688697815},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.35659998655319214},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3452000021934509},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33250001072883606},{"id":"https://openalex.org/C2779682765","wikidata":"https://www.wikidata.org/wiki/Q42046","display_name":"Hyena","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.2906999886035919},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.2842000126838684},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijguc.2025.148546","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijguc.2025.148546","pdf_url":null,"source":{"id":"https://openalex.org/S42446796","display_name":"International Journal of Grid and Utility Computing","issn_l":"1741-847X","issn":["1741-847X","1741-8488"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Grid and Utility Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cloud-Fog":[0],"Computing":[1],"(CFC)":[2],"has":[3],"emerged":[4],"as":[5],"a":[6,36],"solution":[7],"to":[8,39,56,73,93,133],"meet":[9],"the":[10,42,106,134],"growing":[11],"demand":[12],"for":[13,26],"efficient":[14],"processing":[15],"in":[16,139,148],"diverse":[17],"applications.":[18],"Task":[19],"Scheduling":[20],"(TS)":[21],"within":[22],"CFC":[23,95],"is":[24,103],"crucial":[25],"resource":[27],"optimisation":[28,136],"and":[29,61,76,98,119],"meeting":[30],"user":[31,78],"needs.":[32],"This":[33,130],"paper":[34],"presents":[35],"novel":[37],"approach":[38],"TS":[40,138],"using":[41],"Spotted":[43],"Hyena":[44],"Optimisation":[45],"(SHO)":[46],"algorithm,":[47],"drawing":[48],"inspiration":[49],"from":[50],"hyena":[51],"pack":[52],"dynamics.":[53],"SHO":[54],"aims":[55],"minimise":[57],"makespan,":[58],"energy":[59,115],"consumption":[60],"execution":[62,111],"time":[63,108,112],"while":[64],"enhancing":[65],"throughput.":[66],"The":[67,100],"study":[68],"extensively":[69],"evaluates":[70],"SHO's":[71,84],"adaptability":[72],"dynamic":[74],"workloads":[75],"varying":[77],"demands":[79],"through":[80],"simulations.":[81],"Results":[82],"demonstrate":[83],"superior":[85],"performance":[86],"over":[87,124],"existing":[88,126],"algorithms,":[89],"highlighting":[90],"its":[91],"potential":[92],"enhance":[94],"system":[96],"efficiency":[97],"reliability.":[99],"proposed":[101],"algorithm":[102],"effectively":[104],"balances":[105],"makespan":[107],"by":[109,113,117,122],"13.69%,":[110],"26.06%,":[114],"saving":[116],"30.99%":[118],"increased":[120],"throughput":[121],"14.59%":[123],"three":[125],"advanced":[127],"scheduling":[128],"algorithms.":[129],"research":[131],"contributes":[132],"ongoing":[135],"of":[137],"CFC,":[140],"offering":[141],"valuable":[142],"insights":[143],"into":[144],"nature-inspired":[145],"algorithms'":[146],"effectiveness":[147],"addressing":[149],"complex":[150],"computational":[151],"challenges.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
