NTTコミュニケーションズでは、Azure Stack Hub with GPUを先行で導入し検証を行っています。本資料では、実際に利用している立場からデモを交えつつAzure Stack Hub with GPUのユースケースをお話すると共に、GPUのベンチマークを含む他社クラウドとの性能比較結果について情報共有をいたします。
NTTコミュニケーションズでは、Azure Stack Hub with GPUを先行で導入し検証を行っています。本資料では、実際に利用している立場からデモを交えつつAzure Stack Hub with GPUのユースケースをお話すると共に、GPUのベンチマークを含む他社クラウドとの性能比較結果について情報共有をいたします。
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
NTT Docomo's Challenge looking ahead the world pf 5G × OpenStack - OpenStack最...VirtualTech Japan Inc.
タイトル:NTT Docomo's Challenge looking ahead the world pf 5G × OpenStack
アジェンダ:
- Current Challenge
-- DOCOMO Cloud Platform
-- BizDevOps
- Challenge for the future
-- DOCOMO 5G Open Cloud
-- Next Challenge
3. たまおきが視聴したセッション①
1. An overview of container related projects in OpenStack as a
telco guy sees them
• OpenStack の Docker / k8s 関連プロジェクトをうまく整理
• OpenStack Fuxi プロジェクトを知る
• Cinder storage and Manila shares for Docker containers and containers in k8s
2. Implications of 5G RAN and IoT on OpenStack based edge
computing.
• AT&T の Edge Computing の取り組みを紹介
• Edge Computing とその Architecture の理解には役に立つ
3
4. Edge Computing(Summit 前の私の理解)
4
Edge Cloud
Centralized
Cloud
Connected Car
IoT
Connected Car
Services
Server-Side IoT
Client-Side Server-Side(Cloud-Side)
Connected Car
Services
Cloud
Application
Mobile, IoT, Anywhere Edge Cloud
5. MECを理解する①
MEC(Mobile Edge Computing)
5
MEC のユースケースによって
必要な要素(テクノロジー、品質、
ビジネス要件)が異なる
MBB: Mobile Broadband
mMTC: massive Machine
Type Communications
Dense Inf Society
Connected vehicles
VR office/factory/tactile
Throughput
Latency
Reliability
Availability
Energy
Efficiency
User/Device
density
Implications of 5G RAN and IoT on OpenStack based edge computing. より引用 [ OpenStack Summit にて AT&T, Ericsson 発表 ]
https://www.openstack.org/videos/sydney-2017/implications-of-5g-ran-and-iot-on-openstack-based-edge-computing
10 Mbps → 100 Mbps
10 ms → 1 ms
6. MECを理解する②
AT&T の MEC Architecture
6
Disaggregated CoreDisaggregated RAN
5G Application
Ecosystem
IoT
Connected
Car
MBB
RU DU UPF UPF
Macro Radio
& Small cell
Antennas
5G
Base
Stations
Edge
Cloud
Centralized
Cloud
CCF
Internet
CU-CP
CU-UP
NFV MANO (Management & Orchestration)
CU: Centralized Unit
CP: Control Plane
UP: User Plane
UPF: User Plane Function
CCF: Core Control Function
RU: Radio Unit
DU: Digital Unit
Implications of 5G RAN and IoT on OpenStack based edge computing. より引
用
8. たまおきが視聴したセッション②
3. Secrets for approaching bare-metal performance with Real-
Time Virtual Network Functions in OpenStack
• OVS+DPDK, SR-IOV, Smart NIC の特徴とボトルネックを説明
4. Self-healing and optimization SIG
• OpenStack のセルフヒーリングについて各プロジェクトがコミュニ
ケーションを開始した
8