توضیحات
CORD is a new design of a telco central office that replaces closed and proprietary hardware with software running on commodity servers, switches, and access devices. It allows network operators to benefit from both the economies of scale (infrastructure constructed from a few commodity building blocks) and agility (the ability to
rapidly deploy and elastically scale services) that commodity cloud providers enjoy today. This article introduces the CORD architecture and describes an open reference implementation of CORD that is available for evaluation
Challenges
Network operators face significant challenges meeting bandwidth demands and providing enhanced services. For example, AT&T has seen data traffic increase by 100,000 percent in the last eight years, and plans are now underway to roll out ultra-fast fiber and access to 100 cities across the United States [1]. At the same time, introducing a new feature often takes months
(waiting for the next vendor product release) and sometimes years (waiting for the standardization
process to run its course). In response, network operators are looking for ways to benefit from both the economies of scale (infrastructure constructed from a few commodity building blocks) and agility (the ability to rapidly deploy and elastically scale services) that
commodity cloud providers enjoy. Cloud economies and agility are especially needed at the edge of the operator network — in the telco central office (CO) — which contains a diverse collection of purpose-built devices, assembled over 50 years, with little coherent or unifying architecture. For example, AT&T currently operates 4700 COs, some of which contain up to 300 unique hardware appliances
S:Persian Channel of IEEE ComSoc
Year:2016
By:Larry Peterson, Ali Al-Shabibi, Tom Anshutz, Scott Baker, Andy Bavier, Saurav Das, Jonathan Hart, Guru Palukar, and William Snow
File Information :English Language/6 Page/Size:140 K
Download:click
منبع :Persian Channel of IEEE ComSoc
سال :2016
کاری از :Larry Peterson, Ali Al-Shabibi, Tom Anshutz, Scott Baker, Andy Bavier, Saurav Das, Jonathan Hart, Guru Palukar, and William Snow
اطلاعات فایل:زبان انگلیسی/6 صفحه/حجم :140 K
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