Mar 05, 2018
Cisco EPN Manager Third Party Ecosystem: Deployment and Management Centric Infrastructure
Mobile data consumption is growing exponentially with the rapid growth of smartphones/tablets and bandwidth-hungry applications (Video/Music Streaming, Rich Media Communication and personal Cloud services, etc.) that they run. Analysts predict that Wireless Data Traffic will increase by 300% in 2017, compared with what it was in 2012.
As part of the HCL’s 5G strategy, critical investments are being driven to enhance HCL’s play in the 5G Ecosystem. As the Radio Access Network (RAN) gets ‘opened’ or disaggregated, there is plenty of scope for new players to provide radio focused or controller focused solutions. This is the O-RAN buzz that has captured the Telecom news and we in HCL’s Telecom Strategy and Solutions group (SSG) believe there is scope and opportunity for HCL to provide services that will help both vendors and CSPs accelerate their deployment and improve RoI margins.
This blog describes one of HCL’s strategic investments in the 5G space. As the telecom industry gears up for large scale 5G adoption, the scope for integration and orchestration as-a-service is in demand. The HCL O-RAN lab is one of HCL’s offerings which is targeted to help OEMs accelerate 5G adoption and deployment.
Ever since Professor Alan Turing proposed the principle of the modern computer in 1936, computing has come a long way. While advancements to date have been promising, the future is even brighter, all thanks to quantum computing, which performs calculations based on the behavior of particles at the sub-atomic level.
Blog is an interesting take on cloud computing fundamentals and how these fundamentals mimic human life and life philosophies. Cloud technology (as we all know) is major technological disruption in the field of computing - democratizing the compute, networking and storage functions and providing immense “value for money”. It is very easy to get bogged down by technical jargons associated with any new technology and “cloud computing” is no different. Availability of cloud computing from myriad of vendors further complicates the whole cloud ecosystem. The blog provides a simplistic explanation of what, how and where of “cloud computing”. The content should be of interest to both technical and non-technical readers and even the seasoned cloud users should find the content relevant. The blog is a good mix of knowledge, suspense and humour. This blog also highlights the fact that spirituality has potential to permeate every aspect of our life (including seemingly unrelated “cloud computing”).
There is a plethora of innovation happening in the telco eco-system to define a new business paradigm based on 5G architecture. While we can assume every innovation is an acceleration, the author talks about the linear acceleration which helps the 4G to 5G transition seamless and less overwhelming. In other words instead of directly jumping on to a new 5G network, carriers needs to address the current sub optimal 4G infrastructure to deliver higher speed with guaranteed SLAs.
Constrained node networks face many challenges like mobility, reliability, scalability, management, availability, interoperability and cybersecurity. Cybersecurity is one of the major concerns of all these challenges. Among all the cybersecurity areas, securing data is very important as it determines both confidentiality and integrity in the CIA (Confidentiality, Integrity, and Availability) triad. Conventional data security methods could not be followed for constrained node networks because of the resource constraints. The objective of this blog is to present the guidelines needed to secure the data in constrained node networks in an IoT system.
An end to end IoT system includes various networks in an IoT system, type of devices and the applications running in those networks. Constrained node network is deployed as an edge network in an IoT system. There are various classes of constrained nodes based on the memory constraints, network stack and security support. This constrained node network comprises mainly of sensors, actuators and gateways. Sensors and actuators interacts with the external world and communicates to other networks through gateways. Constrained networks cannot use conventional TCP/IP stack and need a new network stack because of its resource constraint nature. These protocols depend on the link layer technologies used. Most common link layer technologies are Zigbee, Thread, BLE & Z-Wave. The firmware design relies heavily on which type of link layer technology is used in a constrained node. Among the various firmware, thread is slowly becoming the de-facto technology for constrained nodes.This blog presents a brief introduction about IoT, its building blocks and then focuses on the constrained node networks, their characteristics, protocols used and the recommended firmware.
With 5G under trials, the question is whether OSS/BSS is ready to support 5G solutions. Do 3 core technologies of 5G namely 5G NR, Virtualization and Network slicing require any changes in traditional OSS/BSS approach? This blog talks about the emergence of 5G solutions, the challenges that 5G imposes on OSS/BSS and explores various standards, researches for the impact of 5G on OSS/BSS at a high level.
Performance Counter Dumper tool dumps the Windows performance counter(s) data set to a file/console. This tool needs the inputs (Category/Counter/Instance) related to performance counters and then either save the file containing the output or display the output on console. From this output, you can easily look for any specific category/counter/instance. This shall save our research time by 60%.This document further describes the tool usage and how the resultant tool output benefits the project productivity
Cloud, network slicing, and edge computing technologies and processes are changing the way that it is being put to use for service providers. It has to be admitted that with different purposes, 5G performance expectations are found wanting with current network topology. Under certain requirements of performance for some of the use cases, using edge computing becomes imperative; this necessitates bringing the cloud to the ground. This is particularly true for cases where the key drivers for service providers are ultra-low latency and high throughput.
