Software-defined cognitive networks: machine learning from comprehensive network data for self-organizing, self-optimizing management Software-defined networking: automated, multi-layer control with open interfaces for better resource utilization Legacy NMS: manual processes with tight control and potential for higher resource utilization Short-term improvements – long-term objectives Intelligently managing and operating networks 4. 2018 ADVA Optical Networking. Intent-based service activation Real-time, intent-based provisioning of secure connections Multi-layer network optimization and self-healing for highest availability Seamless integration with open, standardized interfaces Open network automation - multi-partner demonstration NETCONF RESTCONF/ TAPIOPENFLOW Secure photonic layer Secure CE layer Secure vSwitch layer Intent-driven API Network orchestrator Source: Intent-Based In-flight Service Encryption in Multi-Layer Transport Networks, OFC 2017 5. 2018 ADVA Optical Networking. Security is key ZTP is flexible and can be adapted to operational needs and stakeholder scenarios Zero touch provisioning in action Configuration steps Yang models 1. Device connects to bootstrap server and authenticates itself and the bootstrap server Zero touch information data model; procedure: get- bootstrapping data 2. Device uploads the boot-image and configuration scripts and verifies integrity and authenticity Ownership certificate, ownership voucher 3. Device installs and executes boot image and scripts Procedure: report-progress; device: "bootstrap complete" NB: There is also a need for securely connecting with NMS systems and there might be several boot and configuration servers … Service provider (owner) Bootstrapping server 6. 2018 ADVA Optical Networking. Intelligence emerges from complexity and scale Intelligence substituting human capabilities Insight extending human capabilities Explain affirming human capabilities • Machine learning: prediction • Deep learning: automated machines • AI: behaves and reasons • Data analysis: individual problem • Data analytics: general problem • Big data: beyond traditional data • Statistics: quantification • Data mining: pattern identification 7. 2018 ADVA Optical Networking. AI business value expectations (suppliers) Optimization of network resources Fraud detection and security Personalization Predicting congestion ChatbotsSituation-aware assuranceCall center Natural language machine control Source: AI – the time is now; TM Forum, Dec 2017 8. 2018 ADVA Optical Networking.
A number of product launches this week aim to help operators navigate an increasingly software-centric world by better leveraging their networks and moving toward becoming digital businesses. At TM Forum, Netcracker made its most recent platform release with the launch of Netcracker 12. The new platform expands internet of things support as well as integrated artificial intelligence capabilities in Netcracker's analytics, incorporates virtualization support in operations management and is generally focused on helping operators speed service deployment and deepen analytics-based insights across customer interactions as well as their own internal ecosystems. Ari Banerjee, Netcracker's VP of strategy, said that long development cycles and limitations of physical services have inhibited operators' ability to compete with over-the-top providers. "The service offering base needs to be broadened," he added, saying that Netcracker 12 is focused on "helping them move toward becoming digital service providers."
If you're Google and you want the next Home speaker to clearly one-up the Amazon Echo, what do you do? A source speaking to the Information claims that an upcoming Home model will include a built-in WiFi router with mesh networking. You wouldn't need to buy a separate router (like, say, Google WiFi) just to connect devices around your household. And even if you already have a router, this would improve Home's performance by giving it a stronger connection in weak coverage areas. The tipster also maintains that the original version of Google WiFi had a microphone and speaker for Home-style interactions, but that Google axed it to avoid confusion.
In October 2016, an attack on Dyn DNS shut down the internet. It soon became clear that the attack was possible because of an overwhelming number of new, unsecured, internet-connected devices--the Internet of Things (IoT). This year's Consumer Electronic's Show has introduced us to plenty of new IoT devices, including cute robots, new capabilities for Amazon's Alexa (despite the fact that she keeps buying things for people that they didn't order), and even a smart hairbrush and pillow, which both sound very necessary. Symantec, the company behind Norton AntiVirus, has come up with a unique answer to the growing IoT problem. Rather than protecting each of your devices individually, Symantec's new wifi router (the Norton Core) will use the company's expertise and software to protect up to 20 laptops, computers, tablets, or smartphones--and an unlimited number of IoT devices--in one fell swoop.
Are you good at hiding your feelings? No issues, your Wi-Fi router may soon be able to tell how you feel, even if you have a good poker face. A team of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a device that can measure human inner emotional states using wireless signals. Dubbed EQ-Radio, the new device measures heartbeat, and breath to determine whether a person is happy, excited, sad, or angry. Using EQ-Radio, which emits and captures reflected radio frequency (RF) waves, the team bounced waves off a person's body to measure subtle changes in breathing patterns and heart rates.
Google plans to release its own, self-branded wireless router dubbed "Google Wi-Fi" that will retail for 129, according to Android Police. The Google Wi-Fi router is expected to be released at Google's October 4 event, according to the blog, which has correctly pegged past Google releases. The router is said to be designed like a small, white Amazon Echo Dot, and you can reportedly expand it with multiple access points . Android Police further reports that Google's take on Amazon Echo called Google Home, which was announced at Google I/O in May, will cost 129. Home works as a voice-activated speaker capable of connecting to devices around the home (such as the Nest thermostat) and completing basic tasks like playing music or searching Google.
We're less than two weeks away from Google's big fall event in San Francisco, and we already have a good idea of what to expect -- Pixel-branded smartphones, maybe Google Home, maybe a 4K-capable Chromecast. Android Police is offering up a new potential bit of hardware we haven't heard about yet: a new router called Google WiFi. If you're keeping track at home, yes, Google already does have its own line of branded routers. The OnHub line launched late last summer as a router that's simple to control with your smartphone and good looks that'll make you want to place it prominently in your home. However, both of the two OnHub-branded routers were built by third party manufacturers (TP-Link and Asus).
Sentiment analysis is a useful service for just about any business. It is always valuable to know whether your customers are saying positive or negative things about you. This gives you more flexibility to start with their sample and then tweak it to your needs. Then you would deploy it yourself and call it yourself.
NetworkRepository (NR) is the first interactive data repository with a web-based platform for visual interactive analytics. Unlike other data repositories (e.g., UCI ML Data Repository, and SNAP), the network data repository (networkrepository.com) allows users to not only download, but to interactively analyze and visualize such data using our web-based interactive graph analytics platform. Users can in real-time analyze, visualize, compare, and explore data along many different dimensions. The aim of NR is to make it easy to discover key insights into the data extremely fast with little effort while also providing a medium for users to share data, visualizations, and insights. Other key factors that differentiate NR from the current data repositories is the number of graph datasets, their size, and variety. While other data repositories are static, they also lack a means for users to collaboratively discuss a particular dataset, corrections, or challenges with using the data for certain applications. In contrast, NR incorporates many social and collaborative aspects that facilitate scientific research, e.g., users can discuss each graph, post observations, and visualizations.