The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Intelligent Management and Efficient Operation of Big Data
|
Author(s): José Moura (Instituto Universitario de Lisboa, Portugal & Instituto de Telecomunicações, Portugal), Fernando Batista (Instituto Universitario de Lisboa, Portugal), Elsa Cardoso (Instituto Universitario de Lisboa, Portugal)and Luís Nunes (Instituto Universitario de Lisboa, Portugal & Instituto de Telecomunicações, Portugal)
Copyright: 2019
Pages: 26
Source title:
Web Services: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7501-6.ch102
Purchase
|
Abstract
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.
Related Content
Mohib Ullah, Arbab Waseem Abbas, Lala Rukh, Kamran Ullah, Muhammad Inam Ul Haq.
© 2023.
25 pages.
|
Rafi Ullah Khan, Mohib Ullah, Bushra Shafi, Imran Ihsan.
© 2023.
20 pages.
|
Rafi Ullah Khan, Mohib Ullah, Bushra Shafi.
© 2023.
17 pages.
|
Shaukat Ali, Shah Khusro, Mumtaz Khan.
© 2023.
34 pages.
|
Tayyaba Riaz, Iftikhar Alam.
© 2023.
20 pages.
|
Ufuk Uçak, Gurkan Tuna.
© 2023.
22 pages.
|
Muhammad Hamad, Altaf Hussain, Majida Khan Tareen.
© 2023.
21 pages.
|
|
|