i4Q Edge Workloads Placement and Deployment (i4Q EW)

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i4Q EW is an automatic smart delivery of AI workloads to the appropriate edge devices, optimizing placement, deployment, execution and monitoring cycles

Project: i4Q

Publisher: IBM

Technology: AI workload life cycle management, edge processing, edge placement

Industry: Industry

INTRODUCTION

i4Q EW provides interfaces and capabilities to run different AI workloads on different devices; primarily edge devices. For AI at the edge automated workload management is essential to address scale and dynamic heterogeneity of workloads. Placement, deployment, execution and monitoring cycles shall optimize AI workloads operation on the edge.

FEATURES/BENEFITS

  • Benefits:
    • Optimizing AI workloads
    • Automated workload management

TECHNICAL INFORMATION

Code

i4Q EW

Type

Middleware Service

Technology Topic

Edge

Development

Golang 

RESOURCES

How it works

Component

Interact

Identifying technical relationships

Pre-process incoming requests

Handle incoming request

Prepare request to be processed

Handle incoming request

Determine proper placement

The heart of the solution – process the request to determine best placement

Determine proper placement

Distribute model

Carry out the decision that took place in the previous phase.

Topology and workloads placement viewer

Determine proper placement

Update information base for deployment decisions 

USE CASE

SERVICES LINKED

PUBLISHERS

IBM - IBM integrates technology and expertise, providing infrastructure, software (including market-leading Red Hat) and consulting services for clients as they pursue the digital transformation of the world’s mission-critical businesses.