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Real-Time Search in Clouds
KTH, School of Electrical Engineering (EES), Communication Networks. 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.
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Cisco Systems, San Jose, USA.
2013 (English)In: Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management, IM 2013, New York: IEEE , 2013, 1070-1071 p.Conference paper, Published paper (Refereed)
Abstract [en]

We developed a novel approach for management of networks/networked systems based on network search [4]. Network search provides a simple, uniform interface, through which human administrators and management applications can obtain network information, configuration or operational, without knowing its schema and location. We believe that the capability of network search will spur the development of new tools for human administrators and enable the rapid development of new classes of network control functions and applications.

Place, publisher, year, edition, pages
New York: IEEE , 2013. 1070-1071 p.
Keyword [en]
Management applications, Network control, Network information, Network search, Real-time searches, Uniform interface
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-128192ISI: 000327159900169Scopus ID: 2-s2.0-84883481353ISBN: 978-1-4673-5229-1 (print)OAI: oai:DiVA.org:kth-128192DiVA: diva2:647234
Conference
Demonstration Track, In Proc. IEEE/IFIP International Symposium on Integrated Network Management (IM), Ghent, Belgium, May 27-30, 2013.
Note

QC 20130930

Available from: 2013-09-10 Created: 2013-09-10 Last updated: 2016-04-11Bibliographically approved
In thesis
1. Real-Time Search in Large Networks and Clouds
Open this publication in new window or tab >>Real-Time Search in Large Networks and Clouds
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Networked systems, such as telecom networks and cloud infrastructures, hold and generate vast amounts of conguration and operational data, only a small portion of which is used today by management applications. The overall goal of this work is to make all this data available through a real-time search process named network search , where queries are invoked, without giving the location or the format of the data, similar to web search. Such a capability will simplify many management applications and enable new classes of realtime management solutions. The fundamental problems in network search relate to search in a vast and dynamic information space and the fact that the information is distributed across a very large system.

The thesis contains several contributions towards engineering a network search system. We present a weakly-structured information model, which enables representation of heterogeneous network data, a keyword-based search language, which supports location- and schema-oblivious search queries, and a distributed search mechanism, which is based on an echo protocol and supports a range of matching and ranking options. The search is performed in a peer-to-peer fashion in a network of search nodes. Each search node maintains a local real-time database of locally sensed conguration and operational information. Many of the concepts we developed for network search are based on results from the elds of information retrieval, web search, and very large databases. The key feature of our solution is that the search process and the computation of the query results is performed on local data inside the network or the cloud. We have build a prototype of the system on a cloud testbed and developed applications that use network search functionality. The performance 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 a very large system in the order of 100,000 nodes.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. 87 p.
Series
Trita-EE, ISSN 1653-5146 ; 2013:35
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-128193 (URN)978-91-7501-879-9 (ISBN)
Presentation
2013-10-14, Lab 2, Osquldas Väg 10, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20130930

Available from: 2013-09-30 Created: 2013-09-10 Last updated: 2013-09-30Bibliographically approved
2. 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: 2017-08-16Bibliographically approved

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