Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040347144> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W3040347144 endingPage "152" @default.
- W3040347144 startingPage "127" @default.
- W3040347144 abstract "The most critical action in the Internet of things (IoT), particularly in the cloud computing (CC) ecosystem, is job/task scheduling. The rule of the task scheduling (TS) means that how to arrange/schedule the jobs over the given virtual machines (VMs) by decreasing the Makespan measured (Mm) values and the cost need. Various scholars propose several scheduling algorithms for solving this problem of scheduling the tasks in cloud computing ecosystems. In this chapter, a task scheduling method is proposed using a multi-objective design model and the Gray Wolf Optimizer (GWO), called TS-GWO. Firstly, the multi-objective criterion measures the fitness function by determining the cost value of the CPU ratio and memory size (Me). The fitness function is determined by calculating the Makespan value and demand value. The proposed method (TS-GWO) can expertly arrange the given jobs to the offered VMs while keeping the smallest Makespan value and cost value. Conclusively, the performance of the proposed method (TS-GWO) is investigated and matched with the basic GWO for the testing measures: Makespan ratio and cost value. From the empirical results, we concluded that the introduced scheduling method (TS-GWO) schedule the given tasks to the offered VMs effectively by producing the smallest Makespan values and the smallest average cost values." @default.
- W3040347144 created "2020-07-10" @default.
- W3040347144 creator A5016487921 @default.
- W3040347144 creator A5023403556 @default.
- W3040347144 creator A5034664507 @default.
- W3040347144 creator A5053729918 @default.
- W3040347144 creator A5081827238 @default.
- W3040347144 creator A5087048154 @default.
- W3040347144 creator A5087719110 @default.
- W3040347144 date "2020-07-19" @default.
- W3040347144 modified "2023-09-24" @default.
- W3040347144 title "TS-GWO: IoT Tasks Scheduling in Cloud Computing Using Grey Wolf Optimizer" @default.
- W3040347144 cites W2912485639 @default.
- W3040347144 doi "https://doi.org/10.1201/9780429020582-5" @default.
- W3040347144 hasPublicationYear "2020" @default.
- W3040347144 type Work @default.
- W3040347144 sameAs 3040347144 @default.
- W3040347144 citedByCount "12" @default.
- W3040347144 countsByYear W30403471442020 @default.
- W3040347144 countsByYear W30403471442021 @default.
- W3040347144 countsByYear W30403471442022 @default.
- W3040347144 countsByYear W30403471442023 @default.
- W3040347144 crossrefType "book-chapter" @default.
- W3040347144 hasAuthorship W3040347144A5016487921 @default.
- W3040347144 hasAuthorship W3040347144A5023403556 @default.
- W3040347144 hasAuthorship W3040347144A5034664507 @default.
- W3040347144 hasAuthorship W3040347144A5053729918 @default.
- W3040347144 hasAuthorship W3040347144A5081827238 @default.
- W3040347144 hasAuthorship W3040347144A5087048154 @default.
- W3040347144 hasAuthorship W3040347144A5087719110 @default.
- W3040347144 hasConcept C111919701 @default.
- W3040347144 hasConcept C126255220 @default.
- W3040347144 hasConcept C149635348 @default.
- W3040347144 hasConcept C206729178 @default.
- W3040347144 hasConcept C33923547 @default.
- W3040347144 hasConcept C41008148 @default.
- W3040347144 hasConcept C79974875 @default.
- W3040347144 hasConcept C81860439 @default.
- W3040347144 hasConceptScore W3040347144C111919701 @default.
- W3040347144 hasConceptScore W3040347144C126255220 @default.
- W3040347144 hasConceptScore W3040347144C149635348 @default.
- W3040347144 hasConceptScore W3040347144C206729178 @default.
- W3040347144 hasConceptScore W3040347144C33923547 @default.
- W3040347144 hasConceptScore W3040347144C41008148 @default.
- W3040347144 hasConceptScore W3040347144C79974875 @default.
- W3040347144 hasConceptScore W3040347144C81860439 @default.
- W3040347144 hasLocation W30403471441 @default.
- W3040347144 hasOpenAccess W3040347144 @default.
- W3040347144 hasPrimaryLocation W30403471441 @default.
- W3040347144 hasRelatedWork W2048509577 @default.
- W3040347144 hasRelatedWork W2275108558 @default.
- W3040347144 hasRelatedWork W2383532021 @default.
- W3040347144 hasRelatedWork W2562973983 @default.
- W3040347144 hasRelatedWork W2586486898 @default.
- W3040347144 hasRelatedWork W275032887 @default.
- W3040347144 hasRelatedWork W2751166006 @default.
- W3040347144 hasRelatedWork W2924169909 @default.
- W3040347144 hasRelatedWork W4282591514 @default.
- W3040347144 hasRelatedWork W4308709239 @default.
- W3040347144 isParatext "false" @default.
- W3040347144 isRetracted "false" @default.
- W3040347144 magId "3040347144" @default.
- W3040347144 workType "book-chapter" @default.