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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Big Data and Software Defined Networksкнига
- Авторы: Smelyanskiy Ruslan L., Shalimov Alexander
- Год издания: 2018
- Издательство: Institution of Engineering and Technology
- Местоположение издательства: United Kingdom
- Объём: 504 страниц
- ISBN: 978-1-78561-304-3
- Монография
- DOI: 10.1049/PBPC015E
- Аннотация: Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). SDN helps CDCs run their services more efficiently by enabling managers to configure, manage, secure, and optimise the network resources very quickly. Big-Data Analytics in turn has entered CDCs to harvest the massive computing powers and deduct information that was never reachable by conventional methods. In this new edited reference the authors investigate areas where Big-Data and SDN can help each other in delivering more efficient services.Part I: IntroductionChapter 1: "Introduction to SDN" - Ruslan L. Smelyanskiy, Alexander Shalimov
- Добавил в систему: Смелянский Руслан Леонидович