Paper Info
Title
A bottom-up approach to real-time search in large networks and clouds.
Abstract
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 realtime 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.
Year
Venue
Keywords
2016
IEEE IFIP Network Operations and Management Symposium
network search,bottom-up design,distributed query processing,network management,cloud management,real-time management
DocType
ISSN
Citations 
Conference
1542-1201
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Misbah Uddin1222.96
Rolf Stadler270670.88