This document discusses how the COVID-19 pandemic has accelerated the need for cloud computing and digital transformation. Some key points: - By 2021, over 90% of organizations will rely on a mix of on-premises, private clouds, public clouds, and legacy systems to meet infrastructure needs. - By 2023, an emerging cloud ecosystem for extending resource control and analytics will underlie all IT and business automation initiatives anywhere. - Resilient business models and superior customer experience will be critical as organizations shift more operations and services to the cloud.

1. The Pandemic Changes Everything
The need for speed and resiliency
Parviz Peiravi
Global CTO, Financial Services Industry Solutions
Intel Corporation , Nov 2020

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• By 2021, over 90% worldwide rely on a mix of on-premises /
dedicated private clouds, several public clouds, and legacy
platforms to meet their infrastructure needs.
For additional details on the above Predictions, please refer to the report: IDC FutureScape: Worldwide
Cloud 2020 Predictions (Doc #US44640719)
The Pandemic Changes Everything
• By 2023, an emerging cloud ecosystem for extending
resource control and real-time analytics will be the
underlying platform for all IT and business automation
initiatives anywhere and everywhere
• Resilient Business and Operating Models

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Race to provide superior customer experience
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Realtime All the time Seamless
Personalize
d Predictive
For
everyone
The Shift to Digital
Re-Imaging how Enterprises can deliver services by leveraging
Cloud, Data, Artificial Intelligence

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Monolithic Iaa
S
Paa
S
Container
Orchestration Microservices
Higher Level
Services
Cloud Infrastructure Modernization
Telemetry/Analytics SecurityMove Store Process/Analyze
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On Prem-Cloud Hybrid Multi-Cloud

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Applications
Modern Data & Analytics/AI Infrastructure, Hybrid by Design
Data Hub Model Often Complements Existing Data
Warehouse Architecture
Traditional Data
Warehousing Model
Latency: Hours to Weeks
Multiple Data Sources
ODS ETL DW Analytics
Hybrid Data Lake/Hub
Model Analytic/AI
Tools
ApplicationsApplicationsApplications Self-Service
Analytics Platform
Any Data Source
DW
Real Time & Streaming
D
W
Scale-Out
Data Hub(s)
OLTP
ApplicationsApplicationsApplications
Batch
Hybrid Multi-Cloud

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New Technologies: Persistent Memory
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Persistent Memory:
• PMEM represents a new class of memory and storage
technology architected specifically for data center usage
• Combination of high-capacity, affordability and persistence.
RDMA: Remote Direct Memory Access
• Zero-copy - applications perform data
transfer without the network software
stack involvement, data is being send
received directly to the buffers without
being copied between the network layers.
• Kernel bypass - applications perform
data transfer directly from userspace, no
context switches.
• No CPU involvement - applications can
access remote memory without
consuming any CPU in the remote
machine.
Picture source: https://software.intel.com/en-us/blogs/2018/10/30/intel-optane-dc-persistent-memory-a-major-advance-in-memory-and-storage-architecture

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Persistent Memory Operations Mode
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IM
C
Cascade Lake
IM
C
• 128, 256, 512GB
DIMM Capacity
• 2666 MT/sec
Speed
• 3TB (not including DRAM)
Capacity per CPU
Flexible, Usage Specific Partitions
Non-Volatile Memory Pool
DDR4 DRAM*
DCPMM*
AppDirect
Storage
Memory
• DDR4 electrical & physical
• Close to DRAM latency
• Cache line size access
DRAM, or
DRAM as
cache
* DIMM population shown as an example only.
1 MEMORY mode
Storage over APP DIRECT
● Large memory at lower cost
● Low latency persistent memory
● Fast direct-attach storage
● Persistent data for rapid recovery
2
APP DIRECT mode

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Data Accessibility Across Cloud Domains
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Java File API HDFS Interface S3 Interface REST APIFUSE Interface
HDFS Driver Swift DriverS3 Driver NFS Driver
The Era of Data Centric Design
Intel and Alluxio

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The need for speed and higher capacity

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Hybrid By Design, Data Orchestration for the
Cloud
Cross-platform Security & Governance
Authentication
Kerberos, Delegation token, LDAP, AD
Authorization
FS security model, Ranger integration
Encryption
TLS over the wire, at rest with client-side encryption
Audit Logging
Track accesses to all data
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