Novel approach to big data collaboration with network operators network function virtualisation (NFV)

被引：3

作者：

Tofigh, Tom ^{[1
]}

Adibi, Sasan ^{[2
]}

Mobasher, Amin ^{[3
]}

Mortazavi, Masood ^{[4
]}

机构：

[1] AT&T Labs, 870 North Mccarthy Blvd, Milpitas, CA USA

[2] Deakin Univ, Sch Informat Technol, 221 Burwood Hwy, Burwood, Vic 3125, Australia

[3] Samsung Semicond Inc, San Jose, CA 95112 USA

[4] Huawei Corp, Santa Clara, CA 95050 USA

来源：

INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS | 2015年 / 30卷 / 01期

关键词：

big data; network function virtualisation (NFV); key performance indicators (KPIs);

D O I：

10.1080/17445760.2014.930145

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The intersection of network function virtualisation (NFV) technologies and big data has the potential of revolutionising today's telecommunication networks from deployment to operations resulting in significant reductions in capital expenditure (CAPEX) and operational expenditure, as well as cloud vendor and additional revenue growths for the operators. One of the contributions of this article is the comparisons of the requirements for big data and network virtualisation and the formulation of the key performance indicators for the distributed big data NFVs at the operator's infrastructures. Big data and virtualisation are highly interdependent and their intersections and dependencies are analysed and the potential optimisation gains resulted from open interfaces between big data and carrier networks NFV functional blocks for an adaptive environment are then discussed. Another contribution of this article is a comprehensive discussion on open interface recommendations which enables global collaborative and scalable virtualised big data applications.

引用

页码：65 / 78

页数：14