{"title":"Terrestrial and Space-based Cloud Computing with Scalable, Responsible and Explainable Artificial Intelligence - A Position Paper","authors":"D. Martizzi, P. Ray","doi":"10.1109/nas51552.2021.9605446","DOIUrl":null,"url":null,"abstract":"Adoption of cloud computing and storage is becoming ubiquitous in multiple industries and human endeavors. The cloud computing market is expected to significantly evolve during the next decade. In particular, in order to enhance security and remote accessibility, several new architectures have been proposed to move a significant part of the cloud stack to satellites in space. These technologies are expected to become more prominent in the coming years. Despite the significant improvements hybrid terrestrial and space-based cloud architectures would bring, the growth in size of both infrastructures and distributed compute and storage tasks poses a significant challenges for organizations interested in deploying their software stack to cloud. In this Position Paper, we provide a series of basic principles to develop a scalable, responsible and explainable Artificial Intelligence platform that will assist experts in enhancing the efficiency of cloud deployments.","PeriodicalId":135930,"journal":{"name":"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Networking, Architecture and Storage (NAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/nas51552.2021.9605446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Adoption of cloud computing and storage is becoming ubiquitous in multiple industries and human endeavors. The cloud computing market is expected to significantly evolve during the next decade. In particular, in order to enhance security and remote accessibility, several new architectures have been proposed to move a significant part of the cloud stack to satellites in space. These technologies are expected to become more prominent in the coming years. Despite the significant improvements hybrid terrestrial and space-based cloud architectures would bring, the growth in size of both infrastructures and distributed compute and storage tasks poses a significant challenges for organizations interested in deploying their software stack to cloud. In this Position Paper, we provide a series of basic principles to develop a scalable, responsible and explainable Artificial Intelligence platform that will assist experts in enhancing the efficiency of cloud deployments.