Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366364453> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4366364453 abstract "Abstract Scheduling of resources in cloud environments requires design of multiple pattern analysis models that include but are not limited to, inter‐task dependency pattern analysis, make‐span pattern analysis, virtual machine (VM or resource) based capacity analysis, deadline analysis, and VM‐to‐task compatibility analysis. Existing scheduling models are either highly complex, or do not integrate comprehensive analysis modules for efficient scheduling of resources to tasks. Moreover, some of these models showcase limited scalability when applied to large‐scale deployment scenarios. To overcome these issues, this text proposes design of a multimodal bioinspired model to improve resource‐scheduling efficiency with differential task‐level constraints. The proposed model initially collects multimodal information sets about tasks and underlying resources in order to augment analysis efficiency for different task types. These information sets are initially processed by a Grey Wolf Optimization (GWO)‐based scheduling model that assists in grouping tasks based on their make‐span, deadline and dependency levels. The grouped tasks are then scheduled via an incremental learning Elephant Herding Optimization (EHO) model that assists in assigning grouped tasks to capacity‐tuned resources (or VMs). Due to integration of these optimization methods, the proposed model is capable of improving the efficiency of resource scheduling by 8.5%, while reducing computational complexity by 4.3%, while improving the deadline hit ratio by 5.9%, and lowering energy consumption by 1.5% when compared with standard machine learning based scheduling techniques. Due to which the proposed model is capable of deployment for a wide variety of real‐time scheduling scenarios." @default.
- W4366364453 created "2023-04-21" @default.
- W4366364453 creator A5038704351 @default.
- W4366364453 creator A5039092741 @default.
- W4366364453 date "2023-04-19" @default.
- W4366364453 modified "2023-10-15" @default.
- W4366364453 title "<scp>MBRSDTC</scp> : Design of a multimodal bioinspired model to improve resource scheduling efficiency with differential task‐level constraints" @default.
- W4366364453 cites W2791550337 @default.
- W4366364453 cites W2908027845 @default.
- W4366364453 cites W2911441061 @default.
- W4366364453 cites W2911905108 @default.
- W4366364453 cites W2913578938 @default.
- W4366364453 cites W2922587577 @default.
- W4366364453 cites W2949495942 @default.
- W4366364453 cites W2982622824 @default.
- W4366364453 cites W3027406059 @default.
- W4366364453 cites W3041759079 @default.
- W4366364453 cites W3088341007 @default.
- W4366364453 cites W3128025170 @default.
- W4366364453 cites W3130230457 @default.
- W4366364453 cites W3134104011 @default.
- W4366364453 cites W3135904120 @default.
- W4366364453 cites W3140120893 @default.
- W4366364453 cites W3141514556 @default.
- W4366364453 cites W3156939233 @default.
- W4366364453 cites W3158298891 @default.
- W4366364453 cites W3159359636 @default.
- W4366364453 cites W3160605505 @default.
- W4366364453 cites W3170246614 @default.
- W4366364453 cites W3170621086 @default.
- W4366364453 cites W3196729312 @default.
- W4366364453 cites W3202117632 @default.
- W4366364453 cites W3213400196 @default.
- W4366364453 cites W3214181042 @default.
- W4366364453 cites W3216235925 @default.
- W4366364453 cites W3217701368 @default.
- W4366364453 cites W4205601070 @default.
- W4366364453 cites W4211129701 @default.
- W4366364453 cites W4225568688 @default.
- W4366364453 cites W4285203531 @default.
- W4366364453 cites W4293193535 @default.
- W4366364453 doi "https://doi.org/10.1111/exsy.13302" @default.
- W4366364453 hasPublicationYear "2023" @default.
- W4366364453 type Work @default.
- W4366364453 citedByCount "0" @default.
- W4366364453 crossrefType "journal-article" @default.
- W4366364453 hasAuthorship W4366364453A5038704351 @default.
- W4366364453 hasAuthorship W4366364453A5039092741 @default.
- W4366364453 hasConcept C120314980 @default.
- W4366364453 hasConcept C126255220 @default.
- W4366364453 hasConcept C206729178 @default.
- W4366364453 hasConcept C33923547 @default.
- W4366364453 hasConcept C41008148 @default.
- W4366364453 hasConcept C48044578 @default.
- W4366364453 hasConcept C77088390 @default.
- W4366364453 hasConceptScore W4366364453C120314980 @default.
- W4366364453 hasConceptScore W4366364453C126255220 @default.
- W4366364453 hasConceptScore W4366364453C206729178 @default.
- W4366364453 hasConceptScore W4366364453C33923547 @default.
- W4366364453 hasConceptScore W4366364453C41008148 @default.
- W4366364453 hasConceptScore W4366364453C48044578 @default.
- W4366364453 hasConceptScore W4366364453C77088390 @default.
- W4366364453 hasLocation W43663644531 @default.
- W4366364453 hasOpenAccess W4366364453 @default.
- W4366364453 hasPrimaryLocation W43663644531 @default.
- W4366364453 hasRelatedWork W1882733036 @default.
- W4366364453 hasRelatedWork W1992741870 @default.
- W4366364453 hasRelatedWork W2117848690 @default.
- W4366364453 hasRelatedWork W2159682405 @default.
- W4366364453 hasRelatedWork W2160425906 @default.
- W4366364453 hasRelatedWork W2364921833 @default.
- W4366364453 hasRelatedWork W2380023786 @default.
- W4366364453 hasRelatedWork W2385146268 @default.
- W4366364453 hasRelatedWork W2546696010 @default.
- W4366364453 hasRelatedWork W3021620738 @default.
- W4366364453 isParatext "false" @default.
- W4366364453 isRetracted "false" @default.
- W4366364453 workType "article" @default.