Abstract
In this paper, we present DataServiceHatch, a Web-based system that semi-automatically converts relational databases and stream data sources into Web Services and answers continuous queries on both traditional database tables and data streams by composing Web Services, rather than accesses databases or big data stream infrastructures directly. This can help organizations to unify the access entrance of all their data sources with just a few simple configurations and avoid exposing their data directly. DataServiceHatch also provides mechanisms to remove the need for manually writing a complex SQL-like query expression or service composition plan to answer a continuous query on data streams.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carey, M.J., Onose, N., Petropoulos, M.: Data services. Commun. ACM 55(6), 86–97 (2012)
Microsoft Inc.: WCF data services (2017). https://docs.microsoft.com/en-us/dotnet/framework/data/wcf/. Accessed 30 Mar 2017
Oracle Inc.: Oracle data service integrator. https://www.oracle.com/technetwork/middleware/data-service-integrator/overview/index.html. Accessed Dec 2018
Zaharia, M., Das, T., Li, H., Hunter, T., Shenker, S., Stoica, I.: Discretized streams: fault-tolerant streaming computation at scale. In: Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles SOSP 2013, pp. 423–438. ACM, New York (2013)
Carbone, P., Katsifodimos, A., Ewen, S., Markl, V., Haridi, S., Tzoumas, K.: Apache flink: stream and batch processing in a single engine. Bull. IEEE Comput. Soc. Tech. Comm. Data Eng. 36(4) (2015)
Wang, G., et al.: Building a replicated logging system with Apache Kafka. Proc. VLDB Endow. 8(12), 1654–1655 (2015)
Pottinger, R., Halevy, A.: Minicon: a scalable algorithm for answering queries using views. Int. J. Very Large Data Bases 10(2–3), 182–198 (2001)
Wang, G., Zuo, X., Hesenius, M., Xu, Y., Han, Y., Volker, G.: A data services composition approach for continuous query on data streams. In: Cai, Y., Ishikawa, Y., Xu, J. (eds.) APWeb-WAIM 2018. LNCS, vol. 10988, pp. 106–120. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-96893-3_9
Acknowledgments
This work is supported by Beijing Natural Science Foundation No. 4172018 and National Natural Science Foundation of China No. 61672042 and University Cooperation Projects Foundation of CETC Ocean Corp.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, G., Cui, T., Zuo, X., Xu, Y., Han, Y. (2019). DataServiceHatch: Generating and Composing Continuous Data Services. In: Shao, J., Yiu, M., Toyoda, M., Zhang, D., Wang, W., Cui, B. (eds) Web and Big Data. APWeb-WAIM 2019. Lecture Notes in Computer Science(), vol 11642. Springer, Cham. https://doi.org/10.1007/978-3-030-26075-0_31
Download citation
DOI: https://doi.org/10.1007/978-3-030-26075-0_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-26074-3
Online ISBN: 978-3-030-26075-0
eBook Packages: Computer ScienceComputer Science (R0)