Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Efficient OLAP query processing in distributed data warehouses
Information Systems - Special issue: Best papers from EDBT 2002
Data warehousing and data mining techniques for intrusion detection systems
Distributed and Parallel Databases
WebContent: efficient P2P Warehousing of web data
Proceedings of the VLDB Endowment
Dwarfs in the rearview mirror: how big are they really?
Proceedings of the VLDB Endowment
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In this paper we describe a cloud-based data-warehouselike system especially targeted to time series data. Apart from the benefits that a distributed storage built on top of a shared-nothing architecture offers, our system is designed to efficiently cope with continuous, on-line updates of temporally ordered data without compromising the query throughput. Through a totally customizable process performing asynchronous aggregation of past records, we achieve significant gains in storage and update times compared to traditional methods, maintaining a high accuracy in query responses for our target application. Experiments using our prototype implementation over an actual testbed prove that our scheme considerably accelerates (by a factor above 3) the update procedure and reduces required storage by at least 30%. We also show how these gains are related to the level and rate of aggregation performed.