Submitted by Anonymous (not verified) on

Today, storage and memory hierarchies are manually tuned and sized at design time. But tomorrow’s workloads are increasingly dynamic, multi-tenant and variable. It just simply is not possible to build truly autonomous storage systems that can adapt to changing application workloads with today’s methods. In this session, we demonstrate recent breakthroughs in autonomous storage systems research including how traditional real-time approaches have not been able to succeed up to now. Attendees will be able to see results from the latest research and development and learn: Why static memory hierarchies leave so much performance on the floor. What is needed to design and implement a fully autonomous storage hierarchy and how does it automatically adapt to changing application workloads. How to achieve efficiency, QoS, performance SLAs/SLOs, and manage cost tradeoffs that are needed for fully autonomous caches.

Bonus Content
Off
Presentation Type
Presentation
Learning Objectives
  • Why static memory hierarchies leave so much performance on the floor.
  • What is needed to design and implement a fully autonomous storage hierarchy and how does it automatically adapt to changing application workloads.
  • How to achieve efficiency, QoS, performance SLAs/SLOs, and manage cost tradeoffs that are needed for fully autonomous caches.
Display Order
387
Start Date/Time
End Date/Time
YouTube Video ID
YYZcaSKWu9Q
Zoom Meeting Completed
Off
Main Speaker / Moderator
Room Location
Salon VI
Salon VII
Webform Submission ID
593