mimik and Max2 announce strategic partnership

Providing a Novel Edge Server Solution for the Next Retail Revolution

VANCOUVER, British ColumbiaJan. 12, 2018

Today mimik and Max2 announced a strategic partnership. The partnership will enable retailers to deliver innovative services delivered through an automated and decentralized platform that leverages mobile, tablets, laptops, point of sales systems, cloud servers and more, regardless of their operating system inside the retail environment.

The joint solution provides advanced network functionality enabling users to effortlessly and securely connect all their devices within the retail environment and access all the relative information about merchandise in the store. It also allows direct and secure communication with shoppers inside the store.

“We are delighted to partner with Max2 to provide retailers with a novel, decentralized retail platform. Architecture decentralization in the retail environment has many benefits for consumers and retailers. The benefits to consumers are new retail experiences for discovery of goods and services while retailers enjoy a more cost efficient, secure, and fast way of connecting with their customers. mimik’s decentralized cloud platform is a key technology enabler along with the hardware and retail applications provided by our partner Max2,” said Siavash Alamouti, President & CEO of mimik technology.

“In partnership with mimik we have truly advanced edge computing capabilities where every VeeaHub IoT edge server node deployed by Max2 can represent an “always-on” administrative node for thin client devices (e.g., smartphones and tablets) running one or more microservices supported by mimik’s edgeSDK,” said Michael Salmasi, CEO of Max2. “This provides for  cross-platform, distributed computing across several Operating Systems (OSs) with capabilities that are truly anywhere, anytime, any device, any connection and any application.”

NRF visitors will be able to discover and learn more about this innovative solution during the NRF show in Max2’s booth #734 located on Level 3 on January 14-16 in New York City.

About mimik

mimik has developed a decentralized edge cloud software platform to extend central cloud to all computing devices. mimik provides a downloadable SDK that turns any computing device into a cloud server. The SDK is available for many operating systems. Devices with mimik SDK form clusters and can communicate directly within and across the clusters regardless of OS or network.  The cluster scopes are based on network ID, proximity, and account. On top of this communication and cluster management mimik provides a light container that allows development of JavaScript based microservices based on a server-less architecture. Devices with the SDK can remotely load, install, start and stop microservices.  The platform can be used to decentralize the cloud and remove third party trust elements for the development of many applications. In effect, all computing devices (mobile phones, PCS, routers, game consoles, gateways, IoT devices, etc.) can be used to host microservices and build any application. With mimik edgeSDK a decentralized edge cloud platform can be created that is orders of magnitude larger than central cloud platforms such as AWS.

About Max2 Inc.

Max2 is a platform company with a suite of innovative products and services for Smart Retail industry. Its VeeaHub Platform allows businesses of all sizes to extend their data center or cloud computing operations to the network edge and, while improving their operational efficiencies, machine learning and AI capabilities, provide for IoT applications that can deliver a feature-rich omnichannel e-commerce environment. This platform is further complemented by solutions that augment the real world, providing seamless in and out-store experiences that lets businesses engage and retain customers, collect analytics to grow their businesses and provide for more cost-effective and frictionless delivery of services. Max2’s solutions include payment services, intelligent wireless edge servers with software applications, as well as Point of Sale (POS) systems, 3G/4G MVNO cellular services with CloudSIM, and mobile applications for both businesses and the consumer. Headquartered in New York City with several offices in the US, Europe and Asia, Max2 is run by an experienced management team including former board members and senior executives from leading technology, payments and telecom companies.

For more information on Max2 visit max2.com.

Net neutrality: Decentralization is the future of the Internet

The recent FCC ruling will completely change the way individuals and businesses in the US access the Internet.

By  (CEO at mimik).

Published on ITProportal (January 11th, 2018)

Since its inception, internet has been an open platform to access and share information for everyone, everywhere. Initially, it was envisioned to be peer-to-peer with no dependency on any central entities. Today, internet is under attack. At mimik, we are especially concerned with the recent FCC decision to roll back net neutrality protections. With the FCC ruling, communication networks in the US have become more open to abuse by large corporations.

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Journeys on the edge: ADAS, data and edge computing

Published on Tu Automotive (December 19th , 2017)

Fay Arjomandi (co-founder of mimik) thinks that edge cloud computing is the future of Internet and will not only impact the automotive industry but almost any other vertical. I believe once the platform is unleashed to developers they will come up with use cases and applications that are beyond what we can predict or even imagine. This is what is really exciting about edge cloud computing.

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The Internet will be decentralised through edge computing

By Fay Arjomandi (mimik co-founder)

Published on IDG Connect (December 4th , 2017)

The Internet of Things is no longer part of a dystopic future: it has started to impact our daily lives. Our cars, gadgets and tools have become nodes on the Internet. We are allowing machines to communicate directly, learn from our behaviour and act on our behalf. We have become the sensory system feeding the machines to process, make decisions and lead us through our daily lives. We have started to pass the torch for decision making for our daily lives to the machines creating the ultimate Artificial Intelligence.

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The Future of Computing is Decentralizing the Cloud

Published on Data Center Knowledge (November 1st , 2017)

IoT devices provide the data and big data analytics allows for extracting insights. However, a monumental challenge arises: Where will all this data be processed and stored?

The Internet of Things (IoT) has been a hot area in the last few years. The number of connected devices has been growing steadily with Gartner forecasting that IoT devices will outnumber the world’s population in 2017: 8.4 billion connected things in 2017 and 50 billion in 2020. These connected devices generate massive amounts of data. Today, devices and appliances that were not previously connected (fridges, cars, watches, etc.) are equipped with sensors and peripherals that generate data.

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Diversity talk: Fay Arjomandi on Jaxenter

fayPublished on Jaxenter (October 17th, 2017)

Women are underrepresented in the tech sector—myth or reality? In addition to the Women in Tech survey, at Jaxenter we also launched a diversity series aimed at bringing the most inspirational and powerful women in the tech scene to your attention. Today, we’d like you to meet Fay Arjomandi, co-founder of mimik.

Is tech a boys-only club? So it seems. But the light of smart and powerful women is finally shining bright. We root for excellence and justice and, above all, we want meritocracy to win. This is our way of giving women in tech a shout-out.

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Edge computing: complement or sustitute of cloud computing? (II)

Published on Silicon Spain (October, 2017)

Some companies are already using edge computing, shifting data processing to the edge of the network. Could this technology change the current computer model?

Edge compunting is shown as a plausible solution to solve the capacity and latency problems that the enormous growth of data traffic can generate in the coming years.

In the previous installment of this report we explained what is the edge computing and cited some of the advantages, as well as the difficulties that this technology can find in its deployment.

But what is it for and how is it already using edge computing? “We have references in several fields of application. An interesting case is the use of these technologies in the design of intelligent buildings. Another relevant case is that of a company that manages wind turbine networks. Each hour of unforeseen shutdown of these generators entails penalties of the operators thereof with the companies that commercialize the generated energy. Through the use of machine learning techniques—at the end of the network—and deep learning—in the data centers—the company in question is able to avoid these penalties, improving the profitability of the investment in this project,” explains Ignacio Arrieta, pre-sales manager for commercial Spain & Portugal of Dell EMC.

Carlos Clerencia, country manager of Intel Iberia, points out that “we are seeing many advances in retail, where the behavior of customers within the store is analyzed, interacting with them through digital signage and mobile applications, achieving greater loyalty. There is also a lot of work being done in smart cities, where aspects such as traffic regulation, energy saving, citizen security are addressed, to name a few. The industrial sector is also making great profits with the automation of the factories.

Also, Jorge Jiménez, product manager Iberia IT Division of Schneider Electric, says that “there are many organizations that use this type of technology, most retailers, such as fashion stores or fast food companies, which already have small solutions in their different locations Many industries also have micro data centers distributed by their plants to guarantee production. ” However, he points out that in many companies it is still necessary to “compact and standardize this type of solutions to guarantee maximum security and availability, but also to simplify the ecosystem and, therefore, the management of problems”.

On the other hand, Siavash Alamouti, CEO of mimik, indicates that “some basic forms of edge computing are already being applied. For example, most applications are performing more and more functions on edge devices. The storage of data on Facebook is a good example. There are also some vertical applications doing this, such as some peer-to-peer or shared storage applications. The next step is to extend this concept further and make the edge nodes communicate directly, collaborate and share results. This has been our focus in mimik. We have shared our SDK with some partners and soon we will see applications that use distributed edge cloud .”

Change of model?

Bringing the computer to the end of the network can lead to a change in data traffic and the current model of computing. “As telecommunications providers prepare for the IoT explosion, they will need to increase their infrastructure. Not only in terms of access and transport, but also in terms of how they connect to the cloud. The future demand will be immense and the efficiency of bandwidth and latency will be a great challenge. History has shown that Moore’s law on computing is at least twice as fast in the case of bandwidth. Thus, even if the number of devices does not vary, networks will always be a bottleneck. If the cloud architecture remains as it is and the edge devices have to send all their data to the central cloud, the networks will be saturated and the existing infrastructure will not be able to scale,” says mimik’s CEO.

Moving data processing to the end of the network could take away the ownership of the companies that own the main cloud computing platforms, diverting part of the business to the companies in charge of controlling and managing a set of IoT devices. In this scenario, telecom operators get hold of much of the pie. Different IoT device management platforms are emerging. The devices need to be managed and the collected data needs to be analyzed. And this requires a coordination of the cloud with the network. The operators have a huge opportunity with the arrival of the 5G to position

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Is Cloud Computing Being Edged Out?

Published on Technavio (September, 2017)

“Just when the IT industry was grappling with the loopholes in the cloud technology,” came the famous statement from Peter Levin on the “end of cloud computing” as we know it. Once regarded as the holy grail of the computing world, the cloud apparently left many in a fix and looking out for better storage and business solutions. Thus, there is a need to step out of the cloud and move towards the edge—or so to say edge computing.

Edge computing, simply put, is decentralizing of our computer services, and rather moving closer to the actual source of data. IoT is the major driver of edge computing. No doubt this is a paradigm shift in the way in which data will be shared between devices and applications. Already mimik has come up with a fully developed edge cloud platform which solves many of the existing challenges in the centralized cloud computing system…

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Edge computing: complement or sustitute of cloud computing? (I)

Published on Silicon Spain (September, 2017)

Internet of Things, cloud computing, big data, autonomous vehicle… All these technologies generate a constant and growing data traffic. Edge computing is emerging as the solution to the problems of capacity and latency.

The increase in the number of devices of the Internet of Things (IoT), the increasing use of big data technology, the increase of 4K video transmission, advances in artificial intelligence, the arrival of autonomous cars and the development of Virtual and augmented reality, among other technologies, will lead to a spectacular growth of data traffic in the coming years.

“All these technological advances are contributing to the incredible growth of traffic from the Internet that reaches the data centers, posing a challenge for centralized cloud computing. According to Gartner, in 2020 there will be 50,000 million connected devices. There is not enough bandwidth to handle the explosion of data at the network limits today. As networks begin to collapse, edge cloud computing will be the savior,” says Siavash Alamouti, CEO of mimik. Likewise, Jorge Jiménez, product manager Iberia of IT Division of Schneider Electric, affirms that “edge computing is necessary because the current cloud infrastructure is not capable of supporting the service. When constraints of latency, bandwidth and regulations come into play, the cloud may not be useful and we have to approximate the computation.”

In line with this, Alamouti recalls that “many IoT applications, such as autonomous cars or touch control communications in various sectors, require a response with low latency. In this case, even if the capacity of the network miraculously increases to deal with the data, the laws of physics inhibit the remote processing of data in the central cloud due to high latencies in long-distance data transmission.”

Thus, he explains that “edge cloud computing is a paradigm shift that allows each device to communicate and share resources, making them part of the solution to scale the IoT. For example, it allows drones and robots to pool their collective resources in sectors such as manufacturing, oil and gas, agriculture or mining, providing data in real time and improving business efficiency. It will also allow the full development and implementation of big data, streaming video in 4K, artificial intelligence and virtual and augmented reality.”

What is edge computing?

Ignacio Arrieta, pre-sales manager for Commercial Spain & Portugal of Dell EMC, points out that “as the number of connected devices increases, it is increasingly difficult to send all the information captured to the data centers. Some analysts suggest that less than 40% of the IoT information generated will eventually reach a data center for processing. This has a lot to do with the expiration of the information. The relevance of much of the information generated is a few seconds. If the information has to travel to the data center, be processed and have to return an action to be executed, it is more than likely that it is late. In contrast, if we can process the information and make the decision at the end of the network, we will substantially reduce the latency and we will be able to execute the action almost immediately,” he explains.

In this sense, Carlos Clerencia, country manager of Intel Iberia, points out that “with the exponential growth of deployment of connected devices, an avalanche of data is occurring in the networks. Therefore, there is a need to manage this flow of information more efficiently. And one way to do this is by giving the device the necessary intelligence to decide what information can be discarded, and what information is relevant and should be sent, after compression and encryption. This reduces the amount of information that is entered into the network.”

The CEO of mimik specifies that edge compunting “is a technological architecture in which data is processed and analyzed on the periphery of the network, as close to the original source as possible. This means taking more processing resources to the network boundary to download the central cloud. In this case, the edge nodes are connected to each other in the traditional way, usually by means of a central entity in star configuration.”

A step further would be distributed cloud computing edge, extending the cloud to the edge of the network. “It means converting the edge nodes – any device with processing power—into clusters of cloud servers. Each task is carried out in a server-node edge- and the edge nodes are connected in an ad hoc formation based on a certain scope. When we convert any device into an edge cloud server we solve.”

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