Siavash Alamouti, President & CEO, MIMIK, Canada
Biography: Siavash Alamouti is President & CEO at mimik, the pioneering edge cloud company. He is best known for the invention of the Alamouti code adopted in cellular and wireless LAN standards and included in billions of devices. He has received more than 20,000 citations for his scientific work and has received multiple industry awards. Alamouti’s 1998 paper in IEEE Journal on Selected Areas of Communications was selected by IEEE Communication Society for publication in, “The Best of the Best: Fifty Years of Communications and Networking Research.”
Prior to mimik he was the Group R&D Director for Vodafone. Before Vodafone he was an Intel Fellow and CTO of The Mobile Wireless Group. Prior to Intel, he was the CTO at the WiFi Smart Antenna startup Vivato and before that he worked in various capacities at Cadence Design Systems, AT&T Wireless, and MPR Teltech. Siavash received B.A.Sc and the M.A.Sc. degrees in electrical engineering from the University of British Columbia, Vancouver, Canada, in 1989 and 1992, respectively.
In the last few years, he has been involved in creating and launching an edge cloud platform to decentralise the cloud and increase cloud capacity by orders of magnitude. Recently, Alamouti has been a vocal advocate of open internet, data rights and privacy and decentralisation and has published various articles on these subjects.
Title: Why and how best to decentralise the cloud?
Abstract: Today’s central cloud architecture has become the major bottleneck for computing and communications. The current architecture relies heavily on servers in data centres and requires highly reliable and fast network connectivity. This architecture is highly inefficient in terms of bandwidth, latency, and computing. The best approach to address this dilemma is decentralization of central cloud by turning all computing devices to cloud servers and removing all digital middlemen and third party trust elements when possible and plausible. The resulting resources on “edge cloud” will be orders off magnitude larger than central cloud resources hosted in data centres globally. In this talk, I discuss opportunities and challenges for decentralization of the cloud and some of the principles necessary to establish a pragmatic and scalable decentralized edge cloud fabric.
Mallik Tatipamula CTO, Ericsson Silicon Valley, USA
Title: Key technologies trends for 5G Network Transformation
Abstract: The roll-out of 5G will be faster than that of any previous generations of mobile technologies. We predict that 5G coverage will go from almost zero today to becoming available to 40 percent of the world’s population by the end of 2024. In the same timeframe we expect 1.5 billion 5G subscriptions for enhanced mobile broadband. We forecast that the 2018 global data traffic will increase five-fold by the end of 2024, with 5G handling about 25 percent of the total traffic. What we are seeing is the start of fundamental changes that will impact not just the consumer market but many industries.
And it’s these 4 waves of technology that are impacting 5G network transformation:
First, of course, Radio evolution: The 5G radio network is developed with broader and more advanced requirements than ever. Access-agnostic mobility will be a requirement and flexible spectrum usage will play an important role with seamless NW management handling both unlicensed and licensed access technologies.
Secondly: Distributed cloud realized by SDN/NFV:
NFV: Vendors have already virtualized substantial portions of their portfolio and many service providers are pushing for cloud-native network functions. Virtualization requires a paradigm change in how applications are developed and managed. Software that was created for physical network functions has to be refactored as micro services, a set of smaller generic and modular functional components that can be executed as part of the cloud management architecture or bundled with the network functions depending on the business requirements.
Software Defined Networking (SDN) as a programmability pattern for the separation of control and forwarding plane, has already happened in the data center environment and is appearing in the islands of transport and access. It creates a network management layer which allows for creating a network abstraction layer, suitable to be automated from the business tier. Concepts like Network slicing fit with this model.
Artificial Intelligence: The volumes of data generated from operations and users are constantly increasing. Cognitive technologies make it possible to collect, store and analyze unstructured data. Machine learning is emerging as the model to discover and create value for this data as traditional manual analytical approaches are too slow. In fact, this is vital whether it may concern detection of traffic data anomalies and patterns in real-time data streams, or proactively predict changes in user preferences by discovering patterns in live data. Access to AI technologies has increased as well, and we see tangible benefits from the narrow use of these technologies.
Automation: A policy-driven life-cycle management approach allows for automation and efficiencies – in cost but particularly in responsivity. Highly automated production environments affect the operational model with a DevOps scheme emerging with automation tools allowing for continuous service integration/development separated from the underlying platform. Fully autonomous systems are evolving; from robots and drones serving infrastructure to systems that heal and optimize themselves with usage, like SON.