On the need for applications aware adaptive middleware in real-time RDF data analysis (short paper)

Zia Ush Shamszaman, Muhammad Intizar Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Nowadays a handful applications are designed to consume dynamic real-time continuous stream data from IoT, Social network, Smart sensors and more. Several RDF Stream Processing (RSP) engines are available to query those data streams. Application designers have the freedom to select the best available RSP engine based on their application requirements. However, this selection needs to be done at design time resulting in early bound rigid solutions that are unable to adapt to changing application requirements. In this paper, we have evaluated two most popular RSP engines to proof that adaptivity is required to bridge the gap between RSP engines and applications requirement. Then we propose an adaptive middleware to adapt to dynamic application requirements during run-time. Moreover, adaptive middleware includes input and output control, monitoring the status of the underlying RSP engines, as a result the adaptive middleware is essential when single or multiple instances of same type engines are available.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences
Subtitle of host publicationCoopIS, C and TC, and ODBASE 2017, Proceedings
EditorsAdrian Paschke, Christophe Debruyne, Walid Gaaloul, Mike Papazoglou, Herve Panetto, Claudio Agostino Ardagna, Robert Meersman
PublisherSpringer-Verlag
Pages189-197
Number of pages9
ISBN (Print)9783319694580
DOIs
Publication statusPublished - 21 Oct 2017
Event2017 Confederated International Conference On the Move to Meaningful Internet Systems: held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Greece
Duration: 23 Sept 201727 Sept 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10574 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2017 Confederated International Conference On the Move to Meaningful Internet Systems
Abbreviated titleOTM 2017
Country/TerritoryGreece
CityRhodes
Period23/09/1727/09/17

Bibliographical note

Publisher Copyright:
© 2017, Springer International Publishing AG.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

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