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Network Functions Virtualisation (NFV); Use Cases

Disclaimer

This document has been produced and approved by the Network Functions Virtualisation (NFV) ETSI Industry Specification Group (ISG) and represents the views of those members who participated in this ISG.

It does not necessarily represent the views of the entire ETSI membership.

Group Specification

Network Functions Virtualisation – Introductory White Paper Issue 1

Page 1 of 16

Network Functions Virtualisation An Introduction, Benefits, Enablers, Challenges & Call for Action

OBJECTIVES

This is a non-proprietary white paper authored by network operators.

The key objective for this white paper is to outline the benefits, enablers and challenges for Network Functions Virtualisation (as distinct from Cloud/SDN) and the rationale for encouraging an international collaboration to accelerate development and deployment of interoperable solutions based on high volume industry standard servers.

CONTRIBUTING ORGANISATIONS & AUTHORS

AT&T: Margaret Chiosi.

BT: Don Clarke, Peter Willis, Andy Reid.

CenturyLink: James Feger, Michael Bugenhagen, Waqar Khan, Michael Fargano.

China Mobile: Dr. Chunfeng Cui, Dr. Hui Deng.

Colt: Javier Benitez.

Deutsche Telekom: Uwe Michel, Herbert Damker.

KDDI: Kenichi Ogaki, Tetsuro Matsuzaki.

NTT: Masaki Fukui, Katsuhiro Shimano.

Orange: Dominique Delisle, Quentin Loudier, Christos Kolias.

Telecom Italia: Ivano Guardini, Elena Demaria, Roberto Minerva, Antonio Manzalini.

Telefonica: Diego López, Francisco Javier Ramón Salguero.

Telstra: Frank Ruhl.

Verizon: Prodip Sen.

PUBLICATION DATE

October 22-24, 2012 at the “SDN and OpenFlow World Congress”, Darmstadt-Germany.

This white paper is available at the following link: http://portal.etsi.org/NFV/NFV_White_Paper.pdf

https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper.pdf http://docbox.etsi.org/ISG/NFV/Open/Published/ gs_NFV001v010101p%20-%20Use%20Cases.pdf https://tools.ietf.org/rfc/rfc7025.txt

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109week—approximately 1% of the population—the average annualized restart rate drops to 2.53. In another internal study conducted recently (data courtesy of Andrew Morgan, Google Inc, 2013) planned server unavailability events were factored out from the total machine unavailability. !e remaining unavailability can be attributed to server crashes or lack of networking reachability and it indicates that a server can stay up for an average of nearly two years (0.5 unplanned restart rate). !is is consistent with our intuition that most restarts are due to planned events such as software and hardware upgrades.

Figure 7.3: Distribution of machine downtime, observed at Google over 6 months. !e average annu-alized restart rate across all machines is 4.2, corresponding to a mean time between restarts of just less than 3 months.

Restart statistics are key parameters in the design of fault-tolerant software systems, but the availability picture is only complete once we combine it with downtime data—a point that has been well articulated earlier by the Berkeley ROC project [119]. Figure 7.3 shows the distribution of downtime from the same population of Google servers. !e x-axis displays downtime, against both density and cumulative machine distributions. Note that the data include both planned reboots and those caused by miscellaneous hardware and software failures. Downtime includes all the time because a machine stopped operating until it has rebooted and basic node services were restarted. In other words, the downtime interval does not end when the machine "nishes reboot but when key basic daemons are up.

Approximately 55% of all restart events last less than 6 min, 25% of them last between 6 and 30 min, with most of the remaining restarts "nishing in about a day. Approximately 1% of all restart events last more than a day, which likely corresponds to systems going into repairs. !e average downtime is just more than 3 h, a value that is heavily a#ected by the group of restart events that

7.3. MACHINE!LEVEL FAILURES

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自己紹介 ソフトバンクモバイル株式会社 技術統括　ネットワーク本部 ネットワークアーキテクチャ開発室 / 技術情報部 担当部長 西　和人 ! 担当業務 NWアーキテクチャ策定 新技術評価・導入 グローバルNW、サービス開発支援 NW設備関連システム開発

・次世代NSPコンソーシアム

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NFV Reality ! 費用対効果について

" VNF/NFVI/COTS vs 専用機 – 「品質と価格」のバランスが取れないケースも – Zero-Loss Throughputの壁 – ベアメタル捨てられない

" レイヤの分離による保守コスト増加 – ロックオンの入り口

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" 発生する大量のイベントをどう扱うか – 10万ノード、100万ノード – Auto Scaling, Self Healing – Deep Learning, コグニティブ？

! VNF / Controller開発保守 " ベンダーさん「年額ライセンスを対象VM数だけ買ってね」 " 作る？買う？保守はどうする？ " OSSのパワーを どううまく利用する？ " 既存Toolchainの活用とアレンジ

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" 去年あたり、よくあった会話 – 「VXxxxx EXXxのverxxxでないと動作保証できません」 – 「その程度のメモリではとてもとても」 – 「全て弊社の製品であれば動くんですけど」

" 「おれおれデータ」が横行（チャンピオンデータ） – 「構成は？」「さあ？」というケースは、いまでもあります

" スタンダード、Tipsがない。相互接続データが足りない – Interop、次世代NSPコンソーシアム

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Telecom DevOps 検証も含めた自動化への挑戦 Business Agileなサービス展開への挑戦 VNF, Controller（, NFVI）開発 向いていない領域の見極め

Model-Drivenなオペレーション 既存NWの抽象化と表現 複雑な仕様・IF・コンポーネントを「文書化」 自動化、運用監視、性能評価に寄与 YANG ‒ IETF, ETSI tail-fの進化を期待

Take away

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