URI | http://purl.tuc.gr/dl/dias/79614EF1-D601-402E-A25F-705D7FFD6EC3 | - |
Identifier | https://doi.org/10.26233/heallink.tuc.69926 | - |
Language | en | - |
Extent | 1.3 megabytes | en |
Extent | 51 pages | en |
Title | An adaptive complex event processing system over Storm | en |
Title | Ένα προσαρμοστικό σύστημα επεξεργασίας σύνθετων ερωτημάτων πάνω στο σύστημα STORM | el |
Creator | Prountzos Georgios | en |
Creator | Προυντζος Γεωργιος | el |
Contributor [Thesis Supervisor] | Deligiannakis Antonios | en |
Contributor [Thesis Supervisor] | Δεληγιαννακης Αντωνιος | el |
Contributor [Assistant] | Manikaki Vasiliki | en |
Contributor [Assistant] | Μανικακη Βασιλικη | el |
Contributor [Committee Member] | Samoladas Vasilis | en |
Contributor [Committee Member] | Σαμολαδας Βασιλης | el |
Contributor [Committee Member] | Garofalakis Minos | en |
Contributor [Committee Member] | Γαροφαλακης Μινως | el |
Publisher | Πολυτεχνείο Κρήτης | el |
Publisher | Technical University of Crete | en |
Academic Unit | Department of Electronic and Computer Engineering. | en |
Description | A thesis submitted in fulfillment of the requirements for the degree of Electrical and Computer Engineer in the of Electrical and Computer Engineering | en |
Content Summary | Distributed complex event processing is a method of tracking, analyzing,
processing and detecting specific events or patterns of events that may occur
in event data streams from various distributed sources. Every node within a
network does in-situ processing from its sources. This way of handling large
sets of data whose sources may be geographically scattered, has a couple of
advantages over centralizing the data into a single node and process them
there. The amount of information is potentially vast and limitations of the
available bandwidth render this approach impractical. Thus, a distributed
approach is implemented for communication efficiency. Additionally, having
a single node do all the processing and synchronizations of the network
creates a Single Point of Failure (SPOF) making the system unreliable when
real-time processing is important.
For these reasons, an architecture of an in situ complex event processing
is developed using the Apache Storm primitives. The architecture detects
patterns of interest on incoming event data streams over a number of nodes
in the network in real-time. The patterns, events and network agents are
specified from a user in a file and the system is designed to support multiple
such queries as well as to adapt to any significant changes in the network. | en |
Type of Item | Διπλωματική Εργασία | el |
Type of Item | Diploma Work | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2017-11-08 | - |
Date of Publication | 2017 | - |
Subject | Adaptation | en |
Subject | PROTON | en |
Subject | Complex events | en |
Subject | Event processing | en |
Subject | FERARI | en |
Subject | Apache Storm | en |
Bibliographic Citation | Georgios Prountzos, "An adaptive complex event processing system over Storm", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2017 | en |
Bibliographic Citation | Γεώργιος Προύντζος, "Ένα προσαρμοστικό σύστημα επεξεργασίας σύνθετων ερωτημάτων πάνω στο σύστημα STORM", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2017 | el |