Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index… Mehr…
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties. Bücher > Sachbücher > Naturwissenschaften & Technik;Bücher > Sachbücher > Computer & Internet > IT-Ausbildung & -Berufe > Informatik 22.0 cm x 15.0 cm x 1.4 cm mm , Südwestdeutscher Verlag für Hochschulschriften, Taschenbuch, Südwestdeutscher Verlag für Hochschulschriften<
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Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index… Mehr…
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties. Bücher > Sachbücher > Naturwissenschaften & Technik;Bücher > Sachbücher > Computer & Internet > IT-Ausbildung & -Berufe > Informatik 22.0 cm x 15.0 cm x 1.2 cm mm , Südwestdeutscher Verlag für Hochschulschriften, Taschenbuch, Südwestdeutscher Verlag für Hochschulschriften<
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[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], Complex query operators usually require joint access to multiple data entries whereas single key lookups usually onl… Mehr…
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties.
2009. 208 S. 220 mm
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
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Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index… Mehr…
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties. Buch 22.0 x 15.0 x 1.4 cm , Südwestdeutscher Verlag für Hochschulschriften, Roman Schmidt, Südwestdeutscher Verlag für Hochschulschriften, Schm<
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*Sharing of Probabilistically Correlated Data in Peer-to-peer Networks* - Presenting approaches exploiting data correlations on top of the structured overlay network P-Grid / Taschenbuch … Mehr…
*Sharing of Probabilistically Correlated Data in Peer-to-peer Networks* - Presenting approaches exploiting data correlations on top of the structured overlay network P-Grid / Taschenbuch für 89.9 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Informatik, Südwestdeutscher Verlag für Hochschulschriften AG Co. KG<
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Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index… Mehr…
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties. Bücher > Sachbücher > Naturwissenschaften & Technik;Bücher > Sachbücher > Computer & Internet > IT-Ausbildung & -Berufe > Informatik 22.0 cm x 15.0 cm x 1.4 cm mm , Südwestdeutscher Verlag für Hochschulschriften, Taschenbuch, Südwestdeutscher Verlag für Hochschulschriften<
Nr. A1007599423. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , in stock, zzgl. Versandkosten. (EUR 18.30)
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index… Mehr…
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties. Bücher > Sachbücher > Naturwissenschaften & Technik;Bücher > Sachbücher > Computer & Internet > IT-Ausbildung & -Berufe > Informatik 22.0 cm x 15.0 cm x 1.2 cm mm , Südwestdeutscher Verlag für Hochschulschriften, Taschenbuch, Südwestdeutscher Verlag für Hochschulschriften<
Nr. A1007599423. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , in stock, zzgl. Versandkosten. (EUR 18.20)
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], Complex query operators usually require joint access to multiple data entries whereas single key lookups usually onl… Mehr…
[ED: Softcover], [PU: Südwestdeutscher Verlag für Hochschulschriften], Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties.
2009. 208 S. 220 mm
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) buecher.de GmbH & Co. KG
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index… Mehr…
Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties. Buch 22.0 x 15.0 x 1.4 cm , Südwestdeutscher Verlag für Hochschulschriften, Roman Schmidt, Südwestdeutscher Verlag für Hochschulschriften, Schm<
*Sharing of Probabilistically Correlated Data in Peer-to-peer Networks* - Presenting approaches exploiting data correlations on top of the structured overlay network P-Grid / Taschenbuch … Mehr…
*Sharing of Probabilistically Correlated Data in Peer-to-peer Networks* - Presenting approaches exploiting data correlations on top of the structured overlay network P-Grid / Taschenbuch für 89.9 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Informatik, Südwestdeutscher Verlag für Hochschulschriften AG Co. KG<
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Complex query operators usually require joint access to multiple data entries whereas single key lookups usually only affect a single data entry. The partitioning of the distributed index of standard structured overlays is optimized towards single key lookups and joint data access as, e.g., required by Peer Data Management Systems (PDMS) was neglected so far. (Distributed) databases have already shown that (index-)data organization supporting correlated data access is necessary and crucial for efficient processing, as network usage is minimized. We aim at applying this insight to structured overlays by clustering correlated data frequently accessed jointly by applications, including PDMS but also other types of applications. Data correlations can be derived from different sources, data properties, processing properties, users and applications. We study and present solutions for three different types of correlations in the context of different applications. Our approaches are realized on top of the structured overlay network P- Grid although they are generic enough to be applied to other P2P networks with similar properties.
Detailangaben zum Buch - Sharing of Probabilistically Correlated Data in Peer-to-peer Networks
EAN (ISBN-13): 9783838104249 ISBN (ISBN-10): 3838104242 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2009 Herausgeber: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG 208 Seiten Gewicht: 0,326 kg Sprache: ger/Deutsch
Buch in der Datenbank seit 2009-11-07T13:39:55+01:00 (Berlin) Detailseite zuletzt geändert am 2023-11-10T13:59:24+01:00 (Berlin) ISBN/EAN: 3838104242
ISBN - alternative Schreibweisen: 3-8381-0424-2, 978-3-8381-0424-9 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: schmidt roman Titel des Buches: overlay, top sharing, peer, networks
