{"title":"基于MPI的智能家电并行调度","authors":"Sumita Acharya, Motahar Reza","doi":"10.1109/PDGC.2018.8745810","DOIUrl":null,"url":null,"abstract":"This paper investigates an efficient and profoundly determinable parallel algorithm that can manage synchronous scheduling of home appliances in various households. In order to enable this, we need a smart scheduling methodology that can handle complex workloads. We here present an adequate algorithm that can effectively balance multiple loads in various households. Basically, it equips the message passing interface's quintessential feature, IPC ie., inter-process-communication and MPI basic functions like MPI_Beast, MPI_Scatter, MPI_Barrier etc., that adequately sends data stored in a temporary memory of a process source to all other synchronous processes(appliances) in the group for dynamic synchronization. This algorithm best fits those assignments that involve huge and consecutive data transfer.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart Home Appliance Parallel Scheduling Using MPI\",\"authors\":\"Sumita Acharya, Motahar Reza\",\"doi\":\"10.1109/PDGC.2018.8745810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates an efficient and profoundly determinable parallel algorithm that can manage synchronous scheduling of home appliances in various households. In order to enable this, we need a smart scheduling methodology that can handle complex workloads. We here present an adequate algorithm that can effectively balance multiple loads in various households. Basically, it equips the message passing interface's quintessential feature, IPC ie., inter-process-communication and MPI basic functions like MPI_Beast, MPI_Scatter, MPI_Barrier etc., that adequately sends data stored in a temporary memory of a process source to all other synchronous processes(appliances) in the group for dynamic synchronization. This algorithm best fits those assignments that involve huge and consecutive data transfer.\",\"PeriodicalId\":303401,\"journal\":{\"name\":\"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDGC.2018.8745810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDGC.2018.8745810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart Home Appliance Parallel Scheduling Using MPI
This paper investigates an efficient and profoundly determinable parallel algorithm that can manage synchronous scheduling of home appliances in various households. In order to enable this, we need a smart scheduling methodology that can handle complex workloads. We here present an adequate algorithm that can effectively balance multiple loads in various households. Basically, it equips the message passing interface's quintessential feature, IPC ie., inter-process-communication and MPI basic functions like MPI_Beast, MPI_Scatter, MPI_Barrier etc., that adequately sends data stored in a temporary memory of a process source to all other synchronous processes(appliances) in the group for dynamic synchronization. This algorithm best fits those assignments that involve huge and consecutive data transfer.