Title
Supporting asynchronous update for distributed data cubes
Abstract
Fast and simultaneous retrieval of aggregate SUMs (or AVERAGEs) from multiple regions in a wireless sensor network can be achieved by constructing a distributed data cube (DDC). However, the prior work focused on maintaining a DDC by a globally synchronous protocol, which is not flexible for a large-scale sensor network. In this paper, we propose a more general DDC (GDDC), which supports asynchronous DDC updates. By using the proposed GDDC, only O(n) nodes need to be visited to compute an aggregate SUM (or AVERAGE) query over a rectangular region with n nodes. First, we develop the fundamental semantics for aggregate queries in a system model without a synchronized clock. Second, we define the concept of consistency and derive a set of theorems to guarantee correct query results. Third, we design new distributed algorithms to implement a GDDC. Finally, we evaluate the proposed techniques by extensive experiments. Many interesting impact factors of query accuracy have also been analyzed.
Year
DOI
Venue
2009
10.1016/j.jnca.2008.12.002
J. Network and Computer Applications
Keywords
DocType
Volume
proposed GDDC,aggregate SUM,large-scale sensor network,correct query result,proposed technique,aggregate SUMs,asynchronous DDC,general DDC,query accuracy,data cube,aggregate query,asynchronous update
Journal
32
Issue
ISSN
Citations 
4
Journal of Network and Computer Applications
3
PageRank 
References 
Authors
0.40
34
3
Name
Order
Citations
PageRank
Dan Wu12318272.22
Chi Hong Cheong291.92
Man Hon Wong3814233.13