This document discusses composing hardware resources on the fly with OpenStack Valence. It begins with an introduction to data center challenges around efficiency, growth, and agility. It then provides an overview of Intel Rack Scale Design technology and its value proposition of flexibility, manageability, and economics. An overview of the OpenStack Valence project is given, including its architecture and workflow. Example use cases are listed involving auto deployment, elastic baremetal provisioning, and dynamic pooled storage provisioning. The document concludes with an invitation to a live demo.

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Shuquan Huang, Lin Yang, Kevin Shu
Compose Hardware Resources On The Fly with
OpenStack Valence
2017/3/31

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Data Center Challenges
Intel ® Rack Scale Design Technology Overview
Valence Overview
Use Cases
Demo
Agenda

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5G Wireless and
Optical Networking
Cloud Processing
and Analytics
Rack Scale Design50B
Connected Devices
by 20201
Hyper-connected
World
Deluge of Data
Open Solutions accelerating the pace of innovation
Digital Transformation Driving Datacenter Scale
Deploy at scale:
• Storage
• Network
• Compute
1Source: Intel 2017 Investor Meeting

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Data Center Challenges
Business Needs
• Reduce operational and capital expenses.
• Deliver new services in minutes, not months.
• Optimize data center based on real-time analytics.
• Address application workload needs with agility.
• Scale capacity without interruption.
Less than 50%
server utilization2
Inefficiency
Data growth doubles
every 18 months1
Growth
Agility
New services can
take a week or more
to provision1
1 Worldwide and Regional Public IT Cloud Services 2013–2017 Forecast. IDC (August 2013)
idc.com/getdoc.jsp?containerId=242464
2 IDC’s Digital Universe Study, sponsored by EMC, December 2012
Infrastructure has not kept up with increasing business demands

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Intel® RSD - Value Proposition
Flexible
Manageable
Economical
Open

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Intel® RSD - Vision: Revolutionizing the Datacenter
7
Compute pool
Co-processor pool
Network pool
SSD pool
FPGA pool
Optimized interconnect
Orchestrator
PhysicalPooling
Composable
Interoperable
Standards Based Management
Buy what you need
Eliminate redundant infrastructure*
↑ Performance
Intel® Xeon®
processor
Intel® Silicon
Photonics
Intel® Optane™
FPGA
Optimized to
Intel® Rack Scale Design
* Fan, power supply, chassis, cabling, etc.
Bringing Hyperscale Capabilities to All
**
↑ Savings

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Intel® RSD – Software Management Foundation
• Flexible management architecture allows a range of implementation options
• Industry-standard interoperability across multiple vendors
Orchestration
Microsoft® VMware® OpenStack™ Custom
Compute
Resources
Storage
Resources
Network
Resources
Rack Management Module (RMM)
+
Pooled System Management Engine (PSME)
POD Manager
Discovery/Boot/Configuration/Telemetry
Firmware API
POD Management API
RACKFirmwareSoftwareSoftware
Resource Discovery
System Composability
Resource Telemetry
Resource & System Management

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A DMTF standard capable of managing multi node servers via a RESTful interface.
A secure, multi-node capable replacement for IPMI-over-LAN.
Add devices over time to cover customer use cases & technology.
Intended to meet Remote Machine Management requirements.
Schema-backed but human-readable
Introduction to Redfish
http://redfish.dmtf.org/

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An OpenStack Big tent project
A collection of software
l valence API – API service for lifecycle management of Rack Scale Resource
l python-valenceclient – CLI and python binding
l plugins to integrate with OpenStack (ironic/horizon)
l basic reference GUI
Horizontal Scalability
Valence Overview

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Valence Overview - Architecture

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Valence Overview - Workflow

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l Scenario 1: Advanced auto deployment with containerized OpenStack and scaling out
function
l Scenario 2: Elastic baremetal provisioning function
l Scenario 3: Dynamical pooled NVMe Storage provisioning
Use Cases

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Demo

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