Abstract
The inefficiency of integration processes—as an abstraction of workflow-based integration tasks—is often reasoned by low resource utilization and significant waiting times for external systems. Due to the increasing use of integration processes within IT infrastructures, the throughput optimization has high influence on the overall performance of such an infrastructure. In the area of computational engineering, low resource utilization is addressed with vectorization techniques. In this paper, we introduce the concept of vectorization in the context of integration processes in order to achieve a higher degree of parallelism. Here, transactional behavior and serialized execution must be ensured.In conclusion of our evaluation, the message throughput can be significantly increased.
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Boehm, M., Habich, D., Lehner, W., Wloka, U.: An advanced transaction model for recovery processing of integration processes. In: ADBIS (2008)
Boehm, M., Habich, D., Lehner, W., Wloka, U.: Dipbench toolsuite: A framework for benchmarking integration systems. In: ICDE (2008)
Dalvi, N.N., Sanghai, S.K., Roy, P., Sudarshan, S.: Pipelining in multi-query optimization. In: PODS (2001)
Roy, P., Seshadri, S., Sudarshan, S., Bhobe, S.: Efficient and extensible algorithms for multi query optimization. In: SIGMOD (2000)
Johnson, R., Hardavellas, N., Pandis, I., Mancheril, N., Harizopoulos, S., Sabirli, K., Ailamaki, A., Falsafi, B.: To share or not to share? In: VLDB (2007)
Harizopoulos, S., Ailamaki, A.: A case for staged database systems. In: CIDR (2003)
Harizopoulos, S., Shkapenyuk, V., Ailamaki, A.: Qpipe: A simultaneously pipelined relational query engine. In: SIGMOD (2005)
Ives, Z.G., Florescu, D., Friedman, M., Levy, A.Y., Weld, D.S.: An adaptive query execution system for data integration. In: SIGMOD (1999)
Lee, R., Zhou, M., Liao, H.: Request window: an approach to improve throughput of rdbms-based data integration system by utilizing data sharing across concurrent distributed queries. In: VLDB (2007)
Schmidt, S., Berthold, H., Lehner, W.: Qstream: Deterministic querying of data streams. In: VLDB (2004)
Boehm, A., Marth, E., Kanne, C.C.: The demaq system: declarative development of distributed applications. In: SIGMOD (2008)
Abadi, D.J., Ahmad, Y., Balazinska, M., Çetintemel, U., Cherniack, M., Hwang, J.H., Lindner, W., Maskey, A., Rasin, A., Ryvkina, E., Tatbul, N., Xing, Y., Zdonik, S.B.: The design of the borealis stream processing engine. In: CIDR (2005)
Srivastava, U., Munagala, K., Widom, J., Motwani, R.: Query optimization over web services. In: VLDB (2006)
Gounaris, A., Yfoulis, C., Sakellariou, R., Dikaiakos, M.D.: Robust runtime optimization of data transfer in queries over web services. In: ICDE (2008)
Lemos, M., Casanova, M.A., Furtado, A.L.: Process pipeline scheduling. J. Syst. Softw. 81(3) (2008)
Biornstad, B., Pautasso, C., Alonso, G.: Control the flow: How to safely compose streaming services into business processes. In: IEEE SCC (2006)
Simitsis, A., Vassiliadis, P., Sellis, T.: Optimizing etl processes in data warehouses. In: ICDE (2005)
Hull, R., Llirbat, F., Kumar, B., Zhou, G., Dong, G., Su, J.: Optimization techniques for data-intensive decision flows. In: ICDE (2000)
Li, H., Zhan, D.: Workflow timed critical path optimization. Nature and Science 3(2) (2005)
Vrhovnik, M., Schwarz, H., Suhre, O., Mitschang, B., Markl, V., Maier, A., Kraft, T.: An approach to optimize data processing in business processes. In: VLDB (2007)
Boehm, M., Habich, D., Lehner, W., Wloka, U.: Workload-based optimization of integration processes. In: CIKM (2008)
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Boehm, M., Habich, D., Preissler, S., Lehner, W., Wloka, U. (2009). Vectorizing Instance-Based Integration Processes. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2009. Lecture Notes in Business Information Processing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01347-8_4
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DOI: https://doi.org/10.1007/978-3-642-01347-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01346-1
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