Minimizing Overhead for Fault Tolerance in Event Stream Processing Systems

Minimizing Overhead for Fault Tolerance in Event Stream Processing Systems

Event Stream Processing (ESP) is a well-established approach for low-latency data processing enabling users to quickly react to relevant situations in soft real-time. In order to cope with the sheer amount of data being generated each day and to cope with fluctuating workloads originating from data...

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Bibliographic Details
Main Author: Martin, André
Other Authors: Technische Universität Dresden, Fakultät Informatik
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2016
Subjects:
Complex Event Processing
CEP
Event Stream Processing
ESP
Skalierung
Migration
Zustandsmanagement
Fehlertoleranz
Scalability
State Management
Fault Tolerance
ddc:004
rvk:ST 257
rvk:ST 200
rvk:ST 234
rvk:ST 233
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-210251
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-210251
http://www.qucosa.de/fileadmin/data/qucosa/documents/21025/ThesisPDFA.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-210251
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-210251
http://www.qucosa.de/fileadmin/data/qucosa/documents/21025/ThesisPDFA.pdf

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