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» Progressive Query Optimization for Federated Queries
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CIKM
2011
Springer
13 years 9 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
15 years 4 months ago
Supporting Generic Cost Models for Wide-Area Stream Processing
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
Olga Papaemmanouil, Ugur Çetintemel, John J...
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
15 years 9 months ago
Clio grows up: from research prototype to industrial tool
Clio, the IBM Research system for expressing declarative schema mappings, has progressed in the past few years from a research prototype into a technology that is behind some of I...
Laura M. Haas, Mauricio A. Hernández, Howar...
PODS
2010
ACM
207views Database» more  PODS 2010»
15 years 2 months ago
Understanding cardinality estimation using entropy maximization
Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important task in data management, used in query optimization, ...
Christopher Ré, Dan Suciu
SIGMOD
1996
ACM
154views Database» more  SIGMOD 1996»
15 years 1 months ago
METU Interoperable Database System
METU INteroperable Database System (MIND) is a multidatabase system that aims at achieving interoperability among heterogeneous, federated DBMSs. MIND architecture is based on OMG...
Asuman Dogac, Ugur Halici, Ebru Kilic, Gökhan...