{"title":"雾计算在多机器人系统中的应用","authors":"N. Mohamed, J. Al-Jaroodi, I. Jawhar","doi":"10.1109/IRC.2018.00023","DOIUrl":null,"url":null,"abstract":"Fog computing has been introduced recently to support the Internet of Things (IoT). It can provide many advantages for IoT applications. These advantages include support for low latency needs, mobility, location awareness, scalability, and efficient integration with other systems such as cloud computing. Fog computing can also provide many advantages for different types of systems like multi-robot systems, which we investigate in this paper. In addition, we study the potential services fog computing can provide for multi-robot system applications and discuss the different issues involved in utilizing fog computing for multi-robot systems.","PeriodicalId":416113,"journal":{"name":"2018 Second IEEE International Conference on Robotic Computing (IRC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Utilizing Fog Computing for Multi-robot Systems\",\"authors\":\"N. Mohamed, J. Al-Jaroodi, I. Jawhar\",\"doi\":\"10.1109/IRC.2018.00023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fog computing has been introduced recently to support the Internet of Things (IoT). It can provide many advantages for IoT applications. These advantages include support for low latency needs, mobility, location awareness, scalability, and efficient integration with other systems such as cloud computing. Fog computing can also provide many advantages for different types of systems like multi-robot systems, which we investigate in this paper. In addition, we study the potential services fog computing can provide for multi-robot system applications and discuss the different issues involved in utilizing fog computing for multi-robot systems.\",\"PeriodicalId\":416113,\"journal\":{\"name\":\"2018 Second IEEE International Conference on Robotic Computing (IRC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second IEEE International Conference on Robotic Computing (IRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRC.2018.00023\",\"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 Second IEEE International Conference on Robotic Computing (IRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRC.2018.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fog computing has been introduced recently to support the Internet of Things (IoT). It can provide many advantages for IoT applications. These advantages include support for low latency needs, mobility, location awareness, scalability, and efficient integration with other systems such as cloud computing. Fog computing can also provide many advantages for different types of systems like multi-robot systems, which we investigate in this paper. In addition, we study the potential services fog computing can provide for multi-robot system applications and discuss the different issues involved in utilizing fog computing for multi-robot systems.
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