Paper Info
Title
Freshness-Aware Sensor Mashups Based on Data Services.
Abstract
Sensor mashups provide end-users with an opportunity to aggregate and manipulate data from multiple diverse sensor data sources. A challenging problem is once the data sources are updated and propagate bottom-up to the top level, how to ensure the freshness of mashups. In this paper, an approach is proposed to build sensor mashups based on data services and to generate the synchronous policy of the mashups with good data freshness quality. The paper firstly analyzes the factors that affect the freshness of mashups, gives the problem definition based on the analysis. Then an algorithm to determine the proper synchronous policy is proposed. This paper also illustrates the proposed approach using a particular scenario.
Year
DOI
Venue
2013
10.1109/GreenCom-iThings-CPSCom.2013.378
GreenCom/iThings/CPScom
Keywords
Field
DocType
data service,data source,good data freshness quality,multiple diverse sensor data,problem definition,proper synchronous policy,paper firstly,freshness-aware sensor,challenging problem,sensor mashups,data services,web services
Mashup,World Wide Web,Computer science,Web service,Data as a service,Database
Conference
Citations 
PageRank 
References 
1
0.35
11
Authors
2
Name
Order
Citations
PageRank
Guiling Wang183252.06
Feng Zhang24516.37