Affiliation:
1. INESC TEC 8 University of Minho, Braga, Portugal
2. LASIGE 8 Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
Abstract
The exponential growth of digital information is imposing increasing scale and efficiency demands on modern storage infrastructures. As infrastructure complexity increases, so does the difficulty in ensuring quality of service, maintainability, and resource fairness, raising unprecedented performance, scalability, and programmability challenges. Software-Defined Storage (SDS) addresses these challenges by cleanly disentangling control and data flows, easing management, and improving control functionality of conventional storage systems. Despite its momentum in the research community, many aspects of the paradigm are still unclear, undefined, and unexplored, leading to misunderstandings that hamper the research and development of novel SDS technologies. In this article, we present an in-depth study of SDS systems, providing a thorough description and categorization of each plane of functionality. Further, we propose a taxonomy and classification of existing SDS solutions according to different criteria. Finally, we provide key insights about the paradigm and discuss potential future research directions for the field.
Funder
ThreatAdapt
FCT-Fundação para a Ciência e a Tecnologia
LASIGE Research Unit
PhD
FEDER
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Reference120 articles.
1. George Amvrosiadis Ali R. Butt Vasily Tarasov Erez Zadok Ming Zhao Irfan Ahmad Remzi H. Arpaci-Dusseau Feng Chen Yiran Chen Yong Chen Yue Cheng Vijay Chidambaram Dilma Da Silva Angela Demke-Brown Peter Desnoyers Jason Flinn Xubin He Song Jiang Geoff Kuenning Min Li Carlos Maltzahn Ethan L. Miller Kathryn Mohror Raju Rangaswami Narasimha Reddy David Rosenthal Ali Saman Tosun Nisha Talagala Peter Varman Sudharshan Vazhkudai Avani Waldani Xiaodong Zhang Yiying Zhang and Mai Zheng. 2018. Data Storage Research Vision 2025: Report on NSF Visioning Workshop Held May 30--June 1 2018. Technical Report. George Amvrosiadis Ali R. Butt Vasily Tarasov Erez Zadok Ming Zhao Irfan Ahmad Remzi H. Arpaci-Dusseau Feng Chen Yiran Chen Yong Chen Yue Cheng Vijay Chidambaram Dilma Da Silva Angela Demke-Brown Peter Desnoyers Jason Flinn Xubin He Song Jiang Geoff Kuenning Min Li Carlos Maltzahn Ethan L. Miller Kathryn Mohror Raju Rangaswami Narasimha Reddy David Rosenthal Ali Saman Tosun Nisha Talagala Peter Varman Sudharshan Vazhkudai Avani Waldani Xiaodong Zhang Yiying Zhang and Mai Zheng. 2018. Data Storage Research Vision 2025: Report on NSF Visioning Workshop Held May 30--June 1 2018. Technical Report.
2. bespoKV: Application tailored scale-out key-value stores. In International Conference for High Performance Computing;Anwar Ali;Networking, Storage, and Analysis. IEEE,2018
3. The Internet of Things: A survey
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献