Automating Cloud Data Center Operation

Manual performance, configuration and fault management of Cloud Data Centers is vulnerable to human intervention and therefore subject to human errors. One way to circumvent this problem is to use automation of the Cloud Data Center operations based on advanced technologies which may include Machine Intelligence.
As it is known in mobile industry applications/systems are being virtualized. Therefore some applications will require to run sometime in a central Data center and also closer to the user in order to meet certain characteristics.

Machine Learning for the Telecommunication Industry - Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators.

Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators.

Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators.

Privacy Preserving Federated Learning

5G, cloud and IoT confederation vision is to revolutionize the internet by fostering billions of interconnected mobile and embedded devices, sensors, and services, exchanging information in order to build smart, self-conscious autonomous environments. Yet, the ubiquity and value of connected devices and their applications cannot hide their security and privacy challenges. The enormous amount of data sensed and communicated over a fusion of heterogeneous networks, became an increasingly attractive target for cybercriminals.

Content Delivery Networks to the Home

CONTENT Delivery Networks (CDNs) are large distributed infrastructures of replica servers placed in strategic locations. They deliver content to end-users with reduced latency by replicating content on surrogate servers. However they face a major challenge when content is delivered to end-users accessing a same content in home settings: inefficient bandwidth usage in the access network. There are as many streams from the replica server as end-users accessing the same content.

A Context Aware, Lightweight, and Adaptive Authentication and Authorization

With increasing security risks in critical network infrastructures and emerging cloud technologies with shared capabilities, as well as increasing regulatory requirements on privacy, and data protection, there is a growing need for new approaches to manage security and privacy compliance.

A container Approach for Isolation in a Multi-Tenant Internet of Things Platform

Internet of Things (IoT) is a topic that many enterprises including Ericsson are pursuing to find innovative ways of providing a better and futuristic service to the clients. The large amount of CapEx and OpEx related to IoT infrastructure deployment and operation and humongous amount of data generated by IoT devices on the edge and in the center demands creative ways of sharing the IoT infrastructure between clients and effective ways of transferring/handling the generated/processed data.

Software Defined Security Orchestrator for Content Delivery Networks

Denial of service attacks deny a service, such as visiting a website or access to a network, by deliberately congesting the server or the network resources. In addition to delivering digital contents to end-users, content delivery networks (CDNs) are supposed to protect the content origins, such as Netflix or Amazon Video, against denial of service threats. However, denial of service attacks not only evade a CDN’s protection but also exploit its resources to damage content providers and the CDN itself. As such, traditional security mechanisms are no longer sufficient.

Congestion Control for Ethernet Networks supporting ICN and 5G

Ethernet networks are typically best effort networks where traffic flows may contribute on creating network congestion and lead the switches to start dropping packets randomly. This results in unstable network latency that some applications cannot tolerate, especially in the context of 5G networks where delay constraints are very tight.

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