55,556 research outputs found
Intelligent Management and Efficient Operation of Big Data
This chapter details how Big Data can be used and implemented in networking
and computing infrastructures. Specifically, it addresses three main aspects:
the timely extraction of relevant knowledge from heterogeneous, and very often
unstructured large data sources, the enhancement on the performance of
processing and networking (cloud) infrastructures that are the most important
foundational pillars of Big Data applications or services, and novel ways to
efficiently manage network infrastructures with high-level composed policies
for supporting the transmission of large amounts of data with distinct
requisites (video vs. non-video). A case study involving an intelligent
management solution to route data traffic with diverse requirements in a wide
area Internet Exchange Point is presented, discussed in the context of Big
Data, and evaluated.Comment: In book Handbook of Research on Trends and Future Directions in Big
Data and Web Intelligence, IGI Global, 201
K-SITE RULES Integrating Business Rules in the Mainstream Software Engineering Practice
The technology for business rule based systems faces two important challenges: standardization and integration within conventional software development lifecycle models and tools. Despite the standardization effort carried out by international organizations, commercial tools incorporate their own flavours in rule languages, making difficult the migration among tools. On the other hand, although some business rules systems vendors incorporate interfaces to encapsulate decision models as web services, it is still difficult integrating business rules in traditional object-oriented analysis and design methodologies. This is the rationale behind the development of K-Site Rules, a tool that facilitates the cooperation of business people and software designers in business applications
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