Souleiman Hasan
ABSTRACT
Event-based systems follow an interaction model based on three decoupling dimensions: space, time, and synchronization. However, event producers and consumers are tightly coupled by event semantics: types, attributes, and values. That limits scalability in large-scale heterogeneous environments with significant variety such as the Internet of Things (IoT) due to difficulties in establishing semantic agreements at such scales. This paper studies this problem and investigates the suitability of different traditional and emerging approaches for tackling the issue.
- C. C. Aggarwal, N. Ashish, and A. Sheth. The internet of things: A survey from the data-centric perspective. In Managing and mining sensor data, pages 383--428. Springer, 2013.Google Scholar
Cross Ref
- L. Atzori, A. Iera, and G. Morabito. The internet of things: A survey. Computer Networks, 54(15):2787--2805, 2010. Google ScholarDigital Library
- P. R. Carlile. Transferring, translating, and transforming: An integrative framework for managing knowledge across boundaries. Organization science, 15(5):555--568, 2004. Google ScholarDigital Library
- D. Carvalho, C. Calli, A. Freitas, and E. Curry. EasyESA: A low-effort infrastructure for explicit semantic analysis (demonstration paper). In Proceedings of the 13th International Semantic Web Conference (ISWC 2014), pages 177--180, 2014.Google Scholar
- A. Carzaniga, D. S. Rosenblum, and A. L. Wolf. Achieving scalability and expressiveness in an internet-scale event notification service. In Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing, pages 219--227. ACM, 2000. Google ScholarDigital Library
- D. Chandler. Semiotics: the basics. Routledge, 2007.Google Scholar
- G. Cheng, W. Ge, H. Wu, and Y. Qu. Searching semantic web objects based on class hierarchies. In LDOW, 2008.Google Scholar
- E. F. Codd. A relational model of data for large shared data banks. Commun. ACM, 13(6):377--387, June 1970. Google ScholarDigital Library
- G. Cugola and A. Margara. Processing flows of information: From data stream to complex event processing. ACM Comput. Surv., 44(3):15:1--15:62, June 2012. Google ScholarDigital Library
- S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman. Indexing by latent semantic analysis. JAsIs, 41(6):391--407, 1990.Google ScholarCross Ref
- P. T. Eugster, P. A. Felber, R. Guerraoui, and A.-M. Kermarrec. The many faces of publish/subscribe. ACM Computing Surveys (CSUR), 35(2):114--131, 2003. Google ScholarDigital Library
- A. Ferrara, D. Lorusso, S. Montanelli, and G. Varese. Towards a benchmark for instance matching. In International Workshop on Ontology Matching, The 7th International Semantic Web Conference, page 37, 2008.Google Scholar
- A. Freitas, J. G. Oliveira, S. O'Riain, E. Curry, and J. C. P. Da Silva. Querying linked data using semantic relatedness: a vocabulary independent approach. In Proceedings of the 16th International Conference on Applications of Natural Language to Information Systems (NLDB), pages 40--51. Springer, 2011. Google ScholarDigital Library
- E. Gabrilovich and S. Markovitch. Computing semantic relatedness using wikipedia-based explicit semantic analysis. In IJCAI, volume 7, pages 1606--1611, 2007. Google ScholarDigital Library
- A. Gal. Uncertain schema matching. Synthesis Lectures on Data Management, 3(1):1--97, 2011.Google ScholarCross Ref
- P. Gärdenfors. Conceptual spaces: The geometry of thought. MIT press, 2004.Google Scholar
- Y. Genovese and S. Prentice. Pattern-based strategy: Getting value from big data. Gartner Special Report (June 2011), 2011.Google Scholar
- M. Gupta, R. Li, Z. Yin, and J. Han. Survey on social tagging techniques. ACM SIGKDD Explorations Newsletter, 12(1):58--72, 2010. Google ScholarDigital Library
- S. Harnad. The symbol grounding problem. Physica D: Nonlinear Phenomena, 42(1):335--346, 1990. Google ScholarDigital Library
- Z. S. Harris. Distributional structure. Word, 10:146--162, 1954.Google ScholarCross Ref
- S. Hasan and E. Curry. Approximate semantic matching of events for the internet of things. ACM Trans. Internet Technol., 14(1):2:1--2:23, Aug. 2014. Google ScholarDigital Library
- S. Hasan and E. Curry. Thematic event processing. In Proceedings of the 15th International Middleware Conference, Middleware '14, pages 109--120, New York, NY, USA, 2014. ACM. Google ScholarDigital Library
- S. Hasan and E. Curry. Thingsonomy: Tackling Variety in Internet of Things Events. IEEE Internet Computing, 19(2):10--18, 2015.Google ScholarCross Ref
- S. Hasan, S. O'Riain, and E. Curry. Approximate semantic matching of heterogeneous events. In Proc. The 6th ACM International Conference on Distributed Event-Based Systems, DEBS '12, pages 252--263, 2012. Google ScholarDigital Library
- A. Hinze, K. Sachs, and A. Buchmann. Event-based applications and enabling technologies. In Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, DEBS '09, pages 1:1--1:15, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
- I. T. U. (ITU). World Telecommunication/ICT Indicators database, 2014, Last accessed January 2015.Google Scholar
- D. S. Johnson. Approximation algorithms for combinatorial problems. In Proceedings of the Fifth Annual ACM Symposium on Theory of Computing, STOC '73, pages 38--49, New York, NY, USA, 1973. ACM. Google ScholarDigital Library
- A. Lenci. Distributional semantics in linguistic and cognitive research. Italian journal of linguistics, 20(1):1--31, 2008.Google Scholar
- C. D. Manning, P. Raghavan, and H. Schütze. Introduction to information retrieval, volume 1. Cambridge university press Cambridge, 2008. Google ScholarDigital Library
- J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers. Big data: The next frontier for innovation, competition, and productivity. 2011.Google Scholar
- G. Mühl, L. Fiege, and P. Pietzuch. Distributed event-based systems, volume 1. Springer, 2006. Google ScholarDigital Library
- Organization for Economic Co-operation and Development (OECD). Machine-to-Machine Communications: Connecting Billions of Devices. 2012.Google Scholar
- N. W. Paton and O. Díaz. Active database systems. ACM Comput. Surv., 31(1):63--103, Mar. 1999. Google ScholarDigital Library
- M. Petrovic, I. Burcea, and H.-A. Jacobsen. S-topss: semantic toronto publish/subscribe system. In Proceedings of the 29th international conference on Very large data bases - Volume 29, VLDB '03, pages 1101--1104. VLDB Endowment, 2003. Google ScholarDigital Library
- M. J. Reddy. The conduit metaphor: A case of frame conflict in our language about language. Metaphor and thought, 2:164--201, 1979.Google Scholar
- J. Ross, L. Irani, M. Silberman, A. Zaldivar, and B. Tomlinson. Who are the crowdworkers?: shifting demographics in mechanical turk. In CHI'10 Extended Abstracts on Human Factors in Computing Systems, pages 2863--2872. ACM, 2010. Google ScholarDigital Library
- D. E. Rumelhart, J. L. McClelland, P. R. Group, et al. Parallel distributed processing. Explorations in the microstructure of cognition, 2:216--271, 1986. Google ScholarDigital Library
- L. Sanchez, J. A. Galache, V. Gutierrez, J. Hernandez, J. Bernat, A. Gluhak, and T. Garcia. Smartsantander: The meeting point between future internet research and experimentation and the smart cities. In Future Network & Mobile Summit, 2011, pages 1--8. IEEE, 2011.Google Scholar
- C. Shannon and W. Weaver. The Mathematical Theory of Communication. University of Illinois Press, 1949.Google ScholarDigital Library
- L. Von Bertalanffy. General system theory. General systems, 1(1), 1956.Google Scholar
- L. Zeng and H. Lei. A semantic publish/subscribe system. In E-Commerce Technology for Dynamic E-Business, 2004. IEEE International Conference on, pages 32--39, Sept 2004. Google ScholarDigital Library
Index Terms
- Tackling variety in event-based systems
Recommendations
Interoperability of Security-Enabled Internet of Things
The future Internet will embrace the intelligence of Web 3.0 and the omnipresence of every day connected objects. The later was envisioned as the Internet of Things. Security and interoperability concerns are hindering the service innovations using the ...
Thingsonomy: Tackling Variety in Internet of Things Events
The Internet of Things (IoT) will connect billions of devices to the Internet and create a large-scale dynamic and open environment with high heterogeneity. To assure rapid adoption of IoT applications, application developers and users need to be ...
Thematic event processing
Middleware '14: Proceedings of the 15th International Middleware ConferenceEvent-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of coupling due to the need for mutual ...
Comments