Title
Design and implementation of service API for large-scale house log in smart city cloud
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 large-scale 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.
Year
DOI
Venue
2012
10.1109/CloudCom.2012.6427590
CloudCom
Keywords
Field
DocType
energy saving,smart city cloud,concrete smart city service,service api,web service,next-generation city planning,smart city platform,data type,large-scale log data,large-scale house log,house configuration data,powerful data,smart city,energy conservation,data acquisition,home automation,parallel programming,web services,cloud computing
Computer science,Login,Home automation,Data type,Smart city,Distributed database,Web service,Energy consumption,Database,Operating system,Cloud computing
Conference
Citations 
PageRank 
References 
5
0.59
0
Authors
5
Name
Order
Citations
PageRank
Kohei Takahashi150.93
Akihiro Okushi250.93
Shinya Yamamoto320136.05
Shinsuke Matsumoto420533.53
Masahide Nakamura552672.51