Aug 2012· WICSA/ECSA Companion Volume· pp. 45-52· 25 citations· ⚡ 3 influential· 30 references
EngineeringComputer Science
TL;DR
This paper examines the perceived benefits of cloud computing from the cloud users' perspectives using content analysis techniques and proposes that the empirical insights gained are valuable to both researchers and practitioners.
Abstract
Cloud computing has captured the attention of both the researchers and practitioners alike. Companies and other cloud users are expecting to receive significant benefits from the new cloud based technologies. To what extent these benefits materialize for enterprise IT is not clearly understood. In this paper, we examine the perceived benefits of cloud computing from the cloud users' perspectives. Cloud users include users of SaaS/PaaS/IaaS, ranging from end-users, to service developers and system administrators. Using content analysis techniques, we examine one of the major discussion forums of cloud computing. Rather than offering a yes/no answer to the question posed, we offer five empirically drawn insights on the perceived benefits of cloud computing. It is proposed that the empirical insights gained are valuable to both researchers and practitioners. The value lies in a more holistic view on the promised benefits' landscape.
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Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.