Databases Reference
In-Depth Information
Chapter 6
Internet-Scale Applications
Development
Since the advent of Internet and World Wide Web (WWW) technologies in the
mid-1990s, we have witnessed the explosive growth of distributed applications
ranging from business applications, such as e-commerce, financial services,
and healthcare, to engineering and scientific applications, such as industrial
automation, event detection, and biomedical diagnosis. There are two forces
driving this growth: the availability of multiple distributed system models
and the development of different types of parallel programming techniques.
The availability of several distributed models enables system developers to
consider the best approach to address requirements specific to a user. Paral-
lel programming techniques allow developers to customize the parallelization
scheme to address a specific problem and to a develop system or application
software that is deployable and scalable with the expansion of data. Significant
attention should be paid to the distributed system models and programming
techniques used to develop Internet-scale pattern recognition schemes in dis-
tributed applications. These aspects ensure the scalability and e
ciency of
the recognition schemes when processing large-scale and complex data.
In this chapter, we will discuss the two forces driving the expansion of
distributed applications for Internet-scale environments. We will present ex-
amples of distributed models and parallel programming techniques that are
commonly used in distributed applications development.
6.1 Distributed Computing Models for IS-PR
In this section, a number of existing distributed computing models will be
presented. These include the commodity grid, cloud computing, and peer-to-
peer (P2P) computing. These distributed models are extensions of conven-
tional distributed system models, such as the client-server and processor-pool
models, and were developed to provide a more scalable approach for complex
and large-scale computational applications.
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