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5 - Large-scale development – modularity, extensibility, and distribution

from Part II - Application development

Published online by Cambridge University Press:  05 March 2014

Henrique C. M. Andrade
Affiliation:
J. P. Morgan
Buğra Gedik
Affiliation:
Bilkent University, Ankara
Deepak S. Turaga
Affiliation:
IBM Thomas J. Watson Research Center, New York
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Summary

Overview

In this chapter, we study modularity, extensibility, and distribution. As part of modularity, we look at how types, functions, primitive, and composite operators can be organized into toolkits to facilitate the development of large-scale applications.

As part of extensibility, we discuss how to extend a SPS with new cross-domain and domain-specific operators. As part of distribution, we discuss mechanisms to manage and control how the logical view of a SPA maps to a corresponding physical view to be deployed on a set of distributed hosts.

This chapter is organized as follows. Section 5.2 discusses modularity and extensibility, providing the foundations for structuring large, complex, and multi-component applications. Section 5.3 tackles the issue of distributed programming and deployment.

Modularity and extensibility

Large-scale software engineering and system development in programming languages such as C++ and Java relies on creating a complete application from a collection of smaller building blocks. The design of complex SPAs is no different. Such a design and development approach is referred to as modularity [1].

The reliance on a modular design aims at mitigating engineering complexity by organizing an application into modules or components, where the relationship between these components is expressed in terms of interactions through well-defined component interfaces.

In earlier chapters we discussed how composite operators facilitate the creation of modular SPAs.

Type
Chapter
Information
Fundamentals of Stream Processing
Application Design, Systems, and Analytics
, pp. 148 - 177
Publisher: Cambridge University Press
Print publication year: 2014

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References

[1] Gutknecht, J, Week, W. Modular programming languages. In: Proceedings of the Joint Modular Languages Conference. Vol. 1204 of Lecture Notes in Computer Science. Linz, Austria: Springer; 1997. pp. 1–311.Google Scholar
[2] IBM InfoSphere Streams Version 3.0 Information Center; retrieved in June 2011. http://publib.boulder.ibm.com/infocenter/streams/v3r0/index.jsp.
[3] Gedik, B, Andrade, H. A model-based framework for building extensible, high performance stream processing middleware and programming language for IBM InfoSphere Streams. Software: Practice & Experience. 2012;42(11):1363–1391.Google Scholar
[4] Wall, L. Programming Perl. 3rd edn. O'Reilly Media; 2000.Google Scholar
[5] RDMA Consortium; retrieved in November 2011. http://www.rdmaconsortium.org/.
[6] Infiniband; retrieved in November 2011. http://www.infinibandta.org/.
[7] IBM WebSphere MQ Low Latency Messaging; retrieved in September 2010. http://www-01.ibm.com/software/integration/wmq/11m/.

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