IoT Network Data #Analytics @ThingsExpo #BigData #AI #IoT #IIoT #API

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While the focus and objectives of IoT initiatives are many and diverse, they all share a few common attributes, and one of those is the network. Commonly, that network includes the Internet, over which there isn't any real control for performance and availability. The current state of the art for Big Data analytics, as applied to network telemetry, offers new opportunities for improving and assuring operational integrity. In his session at @ThingsExpo, Jim Frey, Vice President of Strategic Alliances at Kentik, discussed tactics and tools to bridge the gap between IoT project teams and the network planning and operations functions that play a significant role in project success. Speaker Bio: Jim Frey is Vice President of Strategic Alliances at Network Traffic Intelligence company Kentik.


[slides] IoT Network Data #Analytics @ThingsExpo #BigData #IoT #AI #DX

#artificialintelligence

While the focus and objectives of IoT initiatives are many and diverse, they all share a few common attributes, and one of those is the network. Commonly, that network includes the Internet, over which there isn't any real control for performance and availability. The current state of the art for Big Data analytics, as applied to network telemetry, offers new opportunities for improving and assuring operational integrity. In his session at @ThingsExpo, Jim Frey, Vice President of Strategic Alliances at Kentik, discussed tactics and tools to bridge the gap between IoT project teams and the network planning and operations functions that play a significant role in project success. Speaker Bio: Jim Frey is Vice President of Strategic Alliances at Network Traffic Intelligence company Kentik.


Streaming Telemetry: Unleashing Big Data's Power in Network Management

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Dr. Danish Rafique is Senior Innovation Manager at ADVA. It may sound counterintuitive at first, since it's the telecom operators who sit over much larger data lakes, so what gives? While applications drive cloud service providers' core business success, it's the unequivocal access, smart consumption and intelligent processing of the underlying data center infrastructure―be it a physical or virtual resource―that sets them apart. With current business challenges and increasing traffic requirements, the boundaries are starting to blur between the two network segments. On one hand, traditional operators are aiming to run service-centric and app-driven business on top of their platforms, whereas cloud data centre infrastructures are expanding to metro and core connectivity solutions.


Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits

arXiv.org Machine Learning

In this paper, we propose and study opportunistic bandits - a new variant of bandits where the regret of pulling a suboptimal arm varies under different environmental conditions, such as network load or produce price. When the load/price is low, so is the cost/regret of pulling a suboptimal arm (e.g., trying a suboptimal network configuration). Therefore, intuitively, we could explore more when the load is low and exploit more when the load is high. Inspired by this intuition, we propose an Adaptive Upper-Confidence-Bound (AdaUCB) algorithm to adaptively balance the exploration-exploitation tradeoff for opportunistic bandits. We prove that AdaUCB achieves $O(\log T)$ regret with a smaller coefficient than the traditional UCB algorithm. Furthermore, AdaUCB achieves $O(1)$ regret when the exploration cost is zero if the load level is below a certain threshold. Last, based on both synthetic data and real-world traces, experimental results show that AdaUCB significantly outperforms other bandit algorithms, such as UCB and TS (Thompson Sampling), under large load fluctuations.


How mobile carriers are using big data, artificial intelligence

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On this week's NFV/SDN Reality Check we have an interview with Argyle Data to discuss how mobile operators are using big data and machine learning technologies for real time fraud detection, prevention and profit. But first, let's take a look at some top headlines from across the space. AT&T this week announced plans to partner with Intel to work on the telecom giant's cloud network initiatives. The partnership calls for work on optimizing network functions virtualization packet processing efficiency for AT&T's Integrated Cloud platform, defining reference architecture and aligning NFV roadmaps in a move to speed AT&T's ongoing network transformation. AT&T has said its Integrated Cloud platform is where the carrier runs VNFs using OpenStack software at its core, with the carrier having set up 74 AIC physical locations in 2015, with plans for 105 by the end of this year and adding "hundreds more" by 2020.