[PDF] Top 20 Integrating database and data stream systems

... the data access transparent to the client. As shown in the figure, Data Manager is the added layer to existing ACF architecture that makes this ...between Database and Data Streams to the ... See full document

... larger data sets a representative sample may be too large to fit in main memory while a smaller sample may produce a misleading result ( Lee , 1993 ...the data set may have about using it. Especially, in ... See full document

... As a first approach of integrating stream data and background knowledge we have chosen the established event processing engine ESPER. Since it is a regular CQL based engine it does not natively ... See full document

... Many academic computing labs, however, are still mainly composed of cabled desktop computers, or terminals connected to a large server. This represents a huge gap in terms of the technology which most students are most ... See full document

... Software to process queries Software to access streams and data Data streams Meta – data DSMS Continuous queries (CQs) Data streams Stored Data... The LOFAR Instrument -13000 antennas.[r] ... See full document

... by integrating knowledge about compression into the query executor and allowing some amount of operation directly on compressed ...databases, data would be compressed on disk and then eagerly decom- pressed ... See full document

... [24] systems support continuous queries for monitoring persistent data sets spread over a wide-area network, ...over data streams, and Viglas and Naughton [89] propose rate-based optimization for ... See full document

... Cedric/CNAM 292 rue St Martin 75141 Paris Cedex 03 France Abstract We describe an integration of the hypermedia system HyperPATH with the object-oriented DBMS (OODBMS) O
. Providing persistence to a hypertext sys- tem ... See full document

... kmcmaster@weber.edu CS Department, Weber State University Abstract Computer Science is a rich field with many growing application areas, such as Health Information Systems. What we suggest here is that ... See full document

... dynamical systems in discrete time using regression trees, model trees and option trees for on-line ...dynamical systems pose to data mining approaches are described: these motivate the use of ... See full document

... We detect imbalance by examining the traces at stage boundaries. During trace analysis, a separate module inspects trace reports for every operator instance in the topology. Combiners in general perform pre-reduction, ... See full document

... In addition to the incremental operators, two new operators are needed to implement the tagging and synchronization principles. The tagging principle is implemented via a Tagger operator. A Tagger operator is needed to ... See full document

... of data streams to physiological processes, such as heartbeats, using time-based sliding windows of adaptive ...Sensor Data Streams with Esper, Proceedings of the First International Symposium on Applied ... See full document

... STREAM: The Stanford Data Stream Management System. Stanford InfoLab, 2004 [Arasu et al. 2006] Arasu, A.; Babu, S. & Widom, J. The CQL continuous query language: semantic foundations and query ... See full document

... DSMSs use a cycle of data monitoring, managing, and mining to accommodate complex queries in streaming ap- plications like computational finance. The notion of time is crucial in such applications, which include ... See full document

... powerful data model called relational algebra, to enable applications to issue and execute complex declarative queries over set- oriented ...sequential data streams (in real time as well as over historical ... See full document

... • Very rich paradigm for application development, so there has been little impetus to take a general approach to extension and integration • Customers have gotten used to doing this integration on their own, at the ... See full document

... a stream application, we need mechanisms to support long-standing /continuous queries over data that is contin- uously updated from the ...where data is stored in static tables and then users fire ... See full document

... care systems and the great advances in IT industry suggest that a predominant paradigm shift is ...of data mining in order to create and sustain optimal healthcare ...outcomes. Data mining is a ... See full document

... We deliberately chose to limit our study to intermediate events and throughput, in order to investigate the effects of overhead. For future work we will investigate how the use-cases behave for other key-performance ... See full document