Edge Computing

Zunesis + Edge Computing

In late 2017, Zunesis was awarded the informal distinction of “the HPE Edgeline/IoT Field Team.”  As this exciting new technology unfolds, Zunesis, a leader among edge computing companies, has partnered with best-in-class Analytics Application partners, gaining recognition for our unique expertise in this fast-growing field. We are creating new ways to address age-old business challenges and are helping companies become more proactive than reactive in today’s fast-paced market.

 

Let our team help your business design, refresh, or expand upon edge technologies.

Zunesis Specialized Areas of Focus

Video Analytics

Facial Recognition

Anomaly Detection

Compute, Storage and Networking at the Edge

7 Reasons Why to Compute at the Edge

Minimize latency: applications done in real time to minimize defects. Immediate insight and control.

Reduce Bandwith: sending big data back and forth from things to the cloud can consume enormous bandwith. Edge computing is the easiest solution to this problem.

Lower costs: even if bandwidth is available, it can be costly. Efficiency is an important element of any corporate IoT strategy.

Reduce threats: when you transfer data across the campus, state, country or ocean, it is simply more prone to attacks and breaches. Processing data at the edge can reduce security vulnerabilities.

Avoid duplication: if all the data is collected and sent to the cloud, there will likely be some equipment duplication in memory, storage, networking equipment, and software. If this duplication is not needed, then the associated increases in capital and operating expenditures are unwarranted.

Improve reliability: even without any nefarious activity from hackers, data can be corrupted on its own. Retries, drops and missed connections will plague edge-to-data-center communications. Even today, cell phone calls can be broken up or dropped.

Maintain compliance: Laws and corporate policies govern the remote transfer of data. For example, certain countries forbid companies from moving the personal data of their citizens outside their borders.

Edge Computing Trends and Insights

Zunesis Edge Computing Insights and Trends

Zunesis Edge Computing Insights and Trends

5G Edge Cloud Infrastructure View

While pursuing major opportunities that 5G brings, telco operators need to address a number of challenges associated with cost-efficient network deployment that scale. A key enabler of efficient 5G deployment is underlying universal compute infrastructure spanning from core to the very edge of a network.

HPE Techsplanations: Commanding the IoT Edge

Dr. Tom Bradicich and Dave Stoelk take us to the edge to better understand the Internet of Things (IoT) and where HPE is headed with Edgeline Converged IoT Systems to perform deep compute, data gathering, and analysis directly at the harsh edge.

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Edge Computing 101

Enterprises today have adopted a cloud-first mentality, and the numbers show it. According to a 2018 Gartner survey, investment is public cloud services will reach $186.4 billion this year, representing 21.4 percent growth from 2017. But there’s growth that is just as exciting and strategic taking place far from the cloud, down at the network edge in the world of end user devices, Internet of Things (IoT) devices, and other network-connected systems.Without strategic management of the netw…

6 essential elements of edge computing security

In 2017, a thermometer in a fish tank at a casino hotel lobby was hacked, enabling attackers to penetrate the casino’s network and transport its “high roller” database to the cloud. In May, 2018, a denial of service attackknocked out a corporate website for four days. The attack was orchestrated through a network of internet of things (IoT) devices that included routers, security cameras and digital video recorders. Both of these incidents illustrate why edge security is a growing concern fo…

Edge Computing and the Future of the Data Center

Why edge computing is critical for the IoT

While many of today’s always-connected tech devices take advantage of cloud computing, Internet of Things (IoT) manufacturers and application developers are starting to discover the benefits of doing more compute and analytics on the devices themselves.This on-device approach helps reduce latency for critical applications, lower dependence on the cloud, and better manage the massive deluge of data being generated by the IoT. An example of this trend is the recently announced Nest Cam IQ indo…

Why 5G is bringing edge computing and automation front and center

The Olympic Winter Games in Pyeongchang are underway and all eyes are on the competitors. They are also on the digital infrastructure and technology allowing billions around the world to view world record-breaking moments in real-time. The 2018 Games represent the world’s first deployment of a broad-scale 5G network, thanks to a partnership between domestic telecom provider KT, Intel and Samsung. The new capabilities have been on the horizon for some time. We saw 5G steal the show a year ago…

What is edge computing?

Companies like Amazon, Microsoft, and Google have proven to us that we can trust them with our personal data. Now it’s time to reward that trust by giving them complete control over our computers, toasters, and cars.Allow me to introduce you to “edge” computing.Edge is a buzzword. Like “IoT” and “cloud” before it, edge means everything and nothing. But I’ve been watching some industry experts on YouTube, listening to some podcasts, and…

What is edge computing and how it’s changing the network

Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.“In most scenarios, the presumption that everything will be in the cloud with…

Edge computing market: Far-reaching opportunities for channel partners

Steve Shaffer is betting the house that edge computing will transform the casino gaming industry. Shaffer, CEO of IT service provider Zunesis, said they are testing a video analytics app inside a device placed next to a casino's video surveillance camera. The device will sense when someone under the age of 21 sits down at a card table and trigger an alarm. This will prompt a spotter walking the casino floor to check the person's ID, potentially saving casinos millions in fines, he said. R…

7 Reasons Why We Need to Compute at the Edge | HPE Newsroom

Reaching the full potential of IoT and deep edge computing requires an intelligence boost from HPE's pioneering Edgeline Systems From household appliances and fitness trackers to drones and medical devices, the “things” that fuel the Internet of Things can now collect data and send alerts before they even need maintenance. These things aren’t as inert as they might appear though. Rather than merely being conduits for data systems or the cloud, some argue that the so-called edge devices need…

How to design an IoT-ready infrastructure: The 4-stage architecture

There are many ways to begin an enterprise or industrial Internet of Things (IoT) journey. What's important is not to let the perceived complexity of the IoT obscure the possibilities for implementing what should be very rewarding projects. You can get started by laying a solid framework for your IoT system. The IoT is more than Internet-connected consumer devices. Sooner or later, your IT organization will need you to create an infrastructure to support it. Energy companies already use netw…

What the intelligent edge is and why it’s useful | HPE

The term "Intelligent Edge" is used in many ways, but perhaps the best way to think of it is as a place. The edge is where the action is. It's a manufacturing floor, a building, a campus, a city, your house, a crop field, a wind farm, a power plant, an oil rig, a telecommunications outpost, a sports arena, a battlefield, in your car, in the sky, or under the sea. It's everywhere everything is, and it's where the "things" are in the Internet of Things (IoT). The edge is "intelligent" because …

Where’s the ‘edge’ in edge computing? Why it matters, and how we use it

Video: 3 things you should know about cloud v. data center At present, edge computing is more of a prospect than a mature market — more of a concept than a product. It is an effort to bring quality of service (QoS) back into the data center services discussion, as enterprises decide not just who will provide their services, but also where."The edge" is a theoretical space where a data center resource may be accessed in the minimum amount of time. You might think the obvious place for…

Edge, Intent-based networking are all the rage; IT networking budgets rise

As distributed resources from wired, wireless, cloud and Internet of Things networks grow, the need for a more intelligent network edge is growing with it.Network World’s 8th annual State of the Network survey shows the growing importance of edge networking, finding that 56% of respondents have plans for edge computing in their organizations.Typically, edge networking entails sending data to a local device that includes compute, storage and network connectivity in a small form factor. Data i…

Investing in Edge: The Customer Perspective and Decision-Making

Edge computing infrastructure will include modular data centers, traditional brick-and-mortar facilities, and even autonomous cars.LinkedinTwitterFacebookSubscribe You’re a growing business, supporting more users, and are facing a serious challenge. How do you impact ‘closeness’ around your users and the services you deliver? At a very high-level, this is the premise of edge computing and what it can deliver. It’s an intimacy that organizations are striving for when creating new kinds of so…

Close to the edge: How to realise the benefits of edge computing for IIoT

You may well have heard of the ‘intelligent edge’, as Microsoft puts it – the future of computing, on multiple devices, the blurring of the physical and virtual worlds, driven by huge amounts of data, as well as artificial intelligence and machine learning. But how can organisations make the most of this opportunity?A new whitepaper from the Industrial Internet Consortium aims to shed some light on this process and how to architect an edge computing implementation.It is important to not…

Edge computing: the new network reality

Compute capability at the edge of corporate networks is going to significantly change network design, as it accommodates the likes of Internet of Things and analytics capabilities. How are organisations adapting to this new architecture? ALEX MEEHAN reports Print Print Pro Read More: Alex Meehan edge computing edge networks Infrastructure longform networks As artificial intelligence, internet of things and business analytics become more pervasive, it seems likely that edge computing …

The Future of Edge Computing: Not Just for IoT

With the continuing avalanche of computing demand and data moving compute and data closer to the user is now a necessity.Edge computing is killing the cloud. Edge computing is another use case for the cloud. Industry experts are lining up on both sides of the aisle to argue their case. Many think that edge computing is driven by the emerging needs of IoT networks, but edge computing has far greater implications than just IoT. What is edge computing, and why are we having this discourse in the…

Here’s why edge computing is attracting so much interest

Edge computing is one of the latest and hottest buzzwords in the wireless industry. Already, AT&T is testing edge computing designs and Verizon has gone as far as to coin the term “intelligent edge network” for its latest upgrade efforts.The noise behind edge computing is not necessarily a surprise; the technology is being pushed by three interrelated factors: 1. Data processing needs to happen closer to the end user to lower latency speeds. The Wireless industry is an ever-changing world …

Featured Edge Computing Solutions

Edge Computing Portfolio

Edge Computing Portfolio

  • HPE Edgeline

  • Implement powerful, data center-level compute and management technology at the edge, where work takes place. HPE Edgeline hardened machines—able to operate in extreme conditions—bring robust computing power and high capacity storage in adapted form factor to remote locations.

  • HPE Moonshot

  • Get the right tool for the job. Moonshot software-defined servers are designed for specific workloads and can be customized to individual needs for maximum efficiency. Moonshot’s high-density 4.3U chassis carries 45 server cartridges and two network switches—which drives vast amounts of data between nodes and off chassis—and allows you to mix and match different cartridges to fit your specific needs. Moonshot offers significantly lower power consumption, less cabling and flexible scale-out.

  • NVIDIA Tesla

  • Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA® Tesla®GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning. Tesla accelerators also deliver the horsepower needed to run bigger simulations faster than ever before. Plus, Tesla delivers the highest performance and user density for virtual desktops, applications, and workstations.

  • Icetana

  • iCetana is the world leader provider of real-time AI-assisted video monitoring for a complex world. We believe it’s a shortcoming of modern technology that surveillance equipment requires constant monitoring by human eyes, so we’ve redesigned the technology to see through the chaos and identify undesirable events first.

  • FaceFirst

  • FaceFirst is creating a safer and more personalized planet with facial recognition technology. We empower organizations to detect and deter real time threats, transform team performance and strengthen customer relationships.

 

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