A Distributed World - the New IT Requirements of Edge Computing

Transcription

1 A Distributed World - the New IT Requirements of Edge Computing JEDEC Mobile & IOT Forum Jonathan Hinkle, Sr. Research Staff Member - Systems and Memory Architecture Lenovo Research 2018

2 Data growth continuing to accelerate The amount of digital data created and stored is continuing to accelerate.

3 Progression of Data Sources Sensors PC & Tablet Phones + Mod Standard Servers in Data Center Source: User created Communications / Documents Photos Music / Video Social media misc Source: Computing Reports and machine logs Automated business apps Records and archival Web data and traffic Source: Sensors, IoT Environmental Identification Device status / health Operational monitoring GPS Location

4 Data growth Why? Ultimately because data is valuable: - Business Insights - Optimize Services - Recognize Behaviors - Identify Problems How do we leverage our IT resources to unlock the value?

5 IOT Architecture Components Software: Analytics, Applications, Platforms Security, Networking, Management IoT Endpoints & Things Cellular Wireless Wired Cloud & Core IT Data Considerations: Velocity (Time) Microseconds / Milliseconds / Seconds / Minutes / Hours / Days / Years Volume (Size) RAW / PB / TB / GB / MB / kb / Bytes Functions Generate Data / Automate / Control / Pre-process / Aggregate / Analyze / Store / Share

6 IOT Architecture Components Software: Analytics, Applications, Platforms Security, Networking, Management IoT Endpoints & Things Data Considerations: Velocity (Time) Cellular Wireless Wired Missing link to satisfy needs: Time to Act, Cost, Power Cloud & Core IT Microseconds / Milliseconds / Seconds / Minutes / Hours / Days / Years Volume (Size) RAW / PB / TB / GB / MB / kb / Bytes Functions Generate Data / Automate / Control / Pre-process / Aggregate / Analyze / Store / Share

7 IOT Architecture Components Software: Analytics, Applications, Platforms Security, Networking, Management IoT Endpoints & Things Cellular Wireless Wired Edge IT Cloud & Core IT Data Considerations: Velocity (Time) Microseconds / Milliseconds / Seconds / Minutes / Hours / Days / Years Volume (Size) RAW / PB / TB / GB / MB / kb / Bytes Functions Generate Data / Automate / Control / Pre-process / Aggregate / Analyze / Store / Share

8 Data-driven Considerations for the Edge IoT Endpoints & Things Cellular Wireless Wired Edge IT Cloud & Core IT Data Considerations: Velocity (Time) It costs time, money, and power to move data. Best practice: move data when useful or necessary Reduce data set required to be forwarded to each stage Microseconds / Milliseconds / Seconds / Minutes / Hours / Days / Years Volume (Size) RAW / PB / TB / GB / MB / kb / Bytes Functions Generate Data / Automate / Control / Pre-process / Aggregate / Analyze / Store / Share

9 Keeping Data Local How to reduce data set required to be forwarded to each stage? Compute and store data at the edge Keep data stored nearer to sources Maintain fast action on time-sensitive data by doing computation immediately instead of moving the data first.

10 Disclaimer: Edge IT Requirements IoT - highly varied set of HW requirements Storage at edge: Low power, but fast > very good fit for NVM Capacity depends on scale: 256GB TB s Value in shared resources for aggregated data Smaller form factors, leveraging drives with optimal thermal profiles such as SFF-TA-1006

11 Edge IT Requirements Compute at the edge Low power Valuable workloads: data-centric processing such as machine learning and analytics Flexible network and longer-range IO options Smaller and ruggedized form factors

12 IT at the Edge Data growth will continue as the sources multiply - both from computing sources and producing digital data to represent our analog world. Edge IT infrastructure will enable us to scale with that data growth and unlock its inherent value.

13 Thank you