Panduit Solutions Can Help Prepare Your Network Infrastructure for IIoT Technology

How Can Your Network’s Performance Impact Deploying IIoT Technology?

Use Panduit’s Insights to Build a Robust Network Foundation for Your IIoT Deployment

How can you prepare your network infrastructure to successfully accommodate IIoT technology? Get answers to potential IIoT technology deployment issues that may impact your network infrastructure.

For example, here are some questions you may ask when deploying IIoT technology:

What is the impact of real-time data?

Most networks were not designed to react to and process data in real-time. From self-driving cars to digital control systems on factory floors, real-time data is a big part of IIoT deployments. Not being able to act on data in real-time can result in catastrophic results.

How does edge computing affect network performance?

Edge computing allows the compute, storage, and application resources to be located close to the user or the source of the data. With cloud deployment, these resources are in a distant data center owned by the cloud provider. Deploying IIoT solutions using the cloud makes it difficult to manage latency. Today, IIoT deployments can benefit more from edge computing than cloud computing.

How important is the data gathered from sensors?

IIoT data from predictive analytics provided by sensors can improve operational efficiency, reduce downtime, and save money for your business. The many types and characteristics of sensors are important to consider when deploying IIoT technology.

How important is bandwidth for helping IIoT technology extract information from data?

Bandwidth is everywhere. It is this ubiquity of bandwidth that allows devices to seamlessly switch between networks. As a result, connected devices no longer require endless cables and wires. Bandwidth allows us to communicate quickly and effectively, which makes IIoT possible.

What is the impact of packet loss?

IT network managers dislike packet loss because it steals valuable bandwidth, reducing the link’s available throughput. For OT network managers trying to deploy IIoT, a network’s latency is more important than bandwidth or throughput. Despite their differences, the minimization of corrupted packets requires both IT and OT to work together as they transform their network to leverage IIoT technology.

Panduit has developed a series of white papers describing the challenges surrounding the IIoT’s impact on the typical data center, why IT and OT managers may look at the same problems differently, how they can successfully resolve those problems, and the importance of IT/OT convergence to your network’s performance. In addition, you will learn the following:

  • The importance of IT and OT network infrastructures
  • Why IIoT process controls demand real-time data
  • The relationship between IIoT technology and bandwidth
  • The ways IIoT deployments can benefit from edge computing
  • How to determine the importance of sensor specifications

Access all the papers in our IIoT white paper series.

5 Mega Trends Driving the Future Direction of Data Centers

2018 was a spectacular year for change around the data centre environment. While researching my new paper – ‘Light into Money – The Future of Fibre Optics in Data Centre  Networks’, There have been various bubbling under technologies that have broken through and are providing the impetus to some radical cloud environments.

  1. Edge Computingless edgy more mainstream – We are seeing leading businesses and organisations heavily invest in technology that will demand ‘both’ growth of centralised cloud data centre services and driving the requirement for a whole new breed of Edge data centres placing compute capability where it’s needed. Placing analysis and response processing close to the source allows data users to optimise response times. The Edge is driving efficient bandwidth utilisation and minimising connections and physical reach (distance) that introduce latency into the infrastructure. Together with other data growth areas, Edge Computing applications will generate petabytes of data, daily, by 2020. Systems that intelligently process data to create business advantage will be essential to our customers’ future prosperity.
  2. Hyperscale – data centre investment – Efficiency gained on the coat tails of giants – Industry titans, Google, Amazon, Microsoft, Facebook, Apple and Asian public cloud players Alibaba and Ten Cent are investing heavily, not only in new facilities, but the technology platforms that are enabling ever faster data transport and processing. The global hyperscale data centre market size is expected to grow from $25.08 billion in 2017 to $80.65 billion by 2022. Established businesses competing with the web scale firms cannot afford to be constricted by legacy technologies, to remain competitive you must build new platforms and invest in the next generation Internet Protocol (IP) infrastructure.
  3. Solid State StorageNo Flash in the pan – Flash storage is replacing disk drives across the industry for high performance compute environments. Flash technology is on trend with the demand for higher bandwidth and low latency requirements of big data workloads. As our customers’ data volumes increase, new access and storage techniques such as Serial Storage Architecture (SSA) delivers to eliminate data bottlenecks in the data centre and Edge environments. Flash offers a more efficient cabinet and rack footprint and far greater power efficiency over disk drives. As the requirement for storage space multiples this is a significant advantage.
  4. Artificial Intelligence (AI) – disruption driving growth – AI together with Machine Learning (ML) require machine to machine communications at network speeds and the data volumes that have serious implications for network topologies and connectivity. An example of this is seen in the Ethernet switch market, which has seen incredible growth of 25 and 100Gigabit Ethernet (GE) ports shipments. These and new higher speed Ethernet ports will be essential to the growth of AI and Machine Learning applications, as the volume of data required are in the petabyte scale. We are working with partners on high speed and high-quality infrastructure and the next generation topologies to support this data volume growth. Read more on this subject in the report – Light into Money.
  5. Converged technologysimplify to clarify – To build more efficient data centres it is agreed that simplified designs on flexible infrastructure platforms are required to achieve more agile organisations. We are witnessing increased automation, more integrated solutions and software defined capabilities that are reducing the reliance on silo-systems. This allows users to taking advantage of highly flexible infrastructure to drive more capacity, monitoring and analysis and increase efficiency within the data centre. Converged and hyper-converged infrastructure are taking advantage of the many of the topics discussed above to build the future cloud.

Understanding how leaders in the market are moving forward provides stepping stones for all of us to develop our platforms and data centres to take advantage of new developments. However, we must not follow blindly, it is essential that our designs and solutions create the most effective and efficient solution for our needs, and we can only do this when we step out of the silo and view the wider opportunities.