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A bottom-up approach to real-time search in large networks and clouds
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2016 (English)In: Proceedings of the NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, IEEE conference proceedings, 2016, 985-990 p.Conference paper (Refereed)
Abstract [en]

Networked systems, such as telecom networks and cloud infrastructures, generate and hold vast amounts of configuration and operational data. The goal of this work is to make all this data available through a real-time search process named network search, which will enable new real-time management solutions. The thesis contains several contributions towards engineering a network search system. Key elements of our design are a weakly structured information model that includes spatial properties, a query language that supports location- and schema-oblivious search queries, a peer-to-peer architecture, an echo protocols for scalable query processing, and an indexing protocol for efficient routing for spatial queries. The data against which network search is performed is maintained in local real-time databases close to the data sources. The design follows a bottom-up approach in the sense that the topology for query routing is constructed from the underlying network topology. We have built a prototype of the system on a cloud testbed and developed applications that use network search functionality. Testbed measurements suggest that it is feasible to engineer a network search system that processes queries at low latency and low overhead and that can scale to 100'000 nodes. Simulation results for spatial queries show that query processing achieves response times and incurs overhead close to an optimal protocol, and that it remains accurate under significant churn.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. 985-990 p.
Keyword [en]
bottom-up design, cloud management, distributed query processing, network management, network search, real-time management, Indexing (materials working), Network architecture, Query languages, Query processing, Safety devices, Software prototyping, Testbeds, Topology, Cloud managements, Information management
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:kth:diva-197200DOI: 10.1109/NOMS.2016.7502937ISI: 000389830100148ScopusID: 2-s2.0-84979787316ISBN: 9781509002238 (print)OAI: oai:DiVA.org:kth-197200DiVA: diva2:1055417
Conference
2016 IEEE/IFIP Network Operations and Management Symposium, NOMS 2016, 25 April 2016 through 29 April 2016
Note

QC 20161212

Available from: 2016-12-12 Created: 2016-11-30 Last updated: 2017-01-24Bibliographically approved
In thesis
1. A Bottom-Up Approach to Real-Time Search in Large Networks and Clouds
Open this publication in new window or tab >>A Bottom-Up Approach to Real-Time Search in Large Networks and Clouds
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Networked systems, such as telecom networks and cloud infrastructures, generate and hold vast amounts of conguration and operational data. The goal of this work is to make all this data available through a real-time search process named network search , which will enable new real-time management solutions. The thesis contains several contributions towards engineering a network search system. Key elements of our design are a weakly structured information model that includes spatial properties, a query language that supports location- and schema-oblivious search queries, a peer-to-peer architecture, a set of echo protocols for scalable query processing, and an indexing protocol for ecient routing for spatial queries. The data against which network search is performed is maintained in local real-time databases close to the data sources. The design follows a bottom-up approach in the sense that the topology for query routing is constructed from the underlying network topology. We have built a prototype of the system on a cloud testbed and developed applications that use network search functionality. Testbed measurements suggest that it is feasible to engineer a network search system that processes queries at low latency and low overhead and that can scale to 100'000 nodes. Simulation results for spatial queries show that query processing achieves response times and incurs overhead close to an optimal protocol, and that query result remains accurate under signicant churn.

Place, publisher, year, edition, pages
Stockholm: Kungliga Tekniska högskolan, 2016. 122 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:012
National Category
Communication Systems Telecommunications
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-184236 (URN)978-91-7595-858-3 (ISBN)
Public defence
2016-05-03, F3, Lindstedtsvägen 26, våningsplan 2, Sing-Sing, KTH Campus, Stockholm, 09:30 (English)
Opponent
Supervisors
Note

QC 20160411

Available from: 2016-04-11 Created: 2016-03-31 Last updated: 2017-01-24Bibliographically approved

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Publisher's full textScopushttp://noms2016.ieee-noms.org/

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