{"title":"TS2LBDP:基于生物启发的截止日期感知模式分析的高效任务调度改进的任务端SLA模型设计","authors":"P. Shelke, Rekha Shahapurkar","doi":"10.4018/ijiit.309586","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":43967,"journal":{"name":"International Journal of Intelligent Information Technologies","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TS2LBDP: Design of an Improved Task-Side SLA Model for Efficient Task Scheduling via Bioinspired Deadline-Aware Pattern Analysis\",\"authors\":\"P. Shelke, Rekha Shahapurkar\",\"doi\":\"10.4018/ijiit.309586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":43967,\"journal\":{\"name\":\"International Journal of Intelligent Information Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Intelligent Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijiit.309586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijiit.309586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍:
The International Journal of Intelligent Information Technologies (IJIIT) encourages quality research dealing with (but not limited to) the following topics: •Agent-based auction, contracting, negotiation, and ecommerce •Agent-based control and supply chain •Agent-based simulation and application integration •Cooperative and collaborative systems •Distributed intelligent systems and technologies •Human-agent interaction and experimental evaluation •Implementation, deployment, diffusion, and organizational impact •Integrating business intelligence from internal and external sources •Intelligent agent and multi-agent systems in various domains •Intelligent decision support systems