Journal of Innovation: June 2021

Applying Solutions at the Distributed Edge

Journal of Innovation June 2021

The Industrial Internet Consortium's Journal of Innovation - the initiative of our Thought Leadership Task Group - highlights the innovative ideas, approaches, products and services emerging within the industrial internet.

In the June 2021 edition of the IIC Journal of Innovation, authors from our IoT community give us access to crucial ongoing research under the theme "Applying Solutions at the Distributed Edge.".

IIC is a well-respected thought leader on edge computing, and the related fields of fog computing and distributed computing. We have task groups active in edge computing related areas, and many of our member companies are enjoying success with their edge-related products. We believe edge computing will grow in importance in the coming decade, achieving similar stature to today’s cloud computing deployments for critical Internet of Things and Digital Transformation applications.

We would like to thank the authors and editors of this content, and hope you find it a valuable resource as you consider the application of edge computing techniques in your systems. As always, your comments are very welcome.

TABLE OF CONTENTS FOR June 2021 EDITION


  • Key Criteria to Move Cloud Workloads to the Edge
    Analyzes the tradeoffs associated with locating computational workloads in cloud datacenters, edge computing nodes, or intelligent IoT devices. It goes on to propose a detailed process to help system implementers decide which system sub-functions are optimally located at each of these levels.
  • Driving Industry 4.0 at Distributed Edges with Cloud Orchestration
    Article written by a team of experts from SAP. It has many valuable insights into how edge computing can improve various aspects of Industry 4.0 deployments, the characteristics that make it valuable, challenges facing it, edge architectures, and implementation requirements. There is special emphasis on the important topic of orchestration of workloads in the edge.
  • Heterogeneous Computing in the Edge
    Article describes and compares the various types of computational resources that can be applied to edge computing, including CISC/RISC CPUs, GPUs, TPUs, FPGA, DSPs, and ASICs. It analyzes the key performance and cost attributes of these technologies, provides some guidelines on how to implement a heterogenous computing architecture in the edge, and how to decide which of the processing technologies are optimal.
  • What's New at IIC?
    The June edition concludes with important updates from IIC staff on IIC activities. The article provides an overview on spotlight initiatives, opportunities to engage, industry programs, and more.

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