NDLI: Design and I m ple m entation of Service API for Large-Scale House Log in S m art City Cloud

Content Provider	Semantic Scholar
Author	Takahashi, Kohei Yamamoto, Shintaro Okushi, Akihiro Matsumoto, Shinsuke Nakamura, Masahide
Copyright Year	2012
Abstract	Smart city is a next-generation city planning. In the smart city, some value-added services such as energy saving and optimization of traffic are provided using wide variety of logs collected from various appliances and sensors. We are currently developing a smart city platform, called Scallop4SC, which supports collecting and processing the extremely largescale log data. This system stores variety of logs on the HBase key-value store, and supports powerful data processing by Hadoop MapReduce. The goal of this paper is to propose service API of Scallop4SC. The API should be implemented as a Web service, which allows heterogeneous clients to access large-scale log (of energy, device and environment), as well as house configuration data of the smart city. In order to cover queries from a variety of applications, we design possible combinations of service type, data type, access type and queries, based on practical service scenarios. As a case study, we present concrete smart city services for energy saving and quality of life improvement. Then, we evaluate how the proposed API can implement these practical services.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www27.cs.kobe-u.ac.jp/achieve/data/pdf/1125.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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