Request for Comments denotes a type of publication from the Internet Engineering Task Force (IETF) and Internet Society (ISOC). IETF and ISOC are the technical development and standard-setting bodies for the Internet and official documents of Internet specifications, communications protocols, procedures, and events. RFC covers the memorandum, behaviors, research, and innovations associated with the operations of the Internet and systems connected to the internet. Request for Comments (RFC) is submitted for peer review to convey new concepts and information. Steve Crocker created RFC documents in 1969 to record informal notes about the development of ARPANET (Advanced Research Projects Agency Network).
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In recent years, the IT Sphere is facing challenges in establishing a standard and managed workspace for diversified users with next-generation features for device management. In the business environment, it is mandatory to create a desktop environment suitable to all resources with adequate supports for device management. Manual operations require replacement with the automated processes. IT Workspace Management along with automation processes overcome challenges in detection, self-healing, management, maintenance, and solutions associated with integration issues in real time. It is a great deal to manage devices in the work environment such as security, control of all devices under a single console, and resolving escalations for device issues.
Modern IT Workspace management and Automation consists of Top 10 Next-Gen Features listed as follows:
As per Gartner, due to automation, buyers expect a reduction of cost of services and expect improvements in service quality.
During the period from 2018 to 2022, the global market of workspace management software is expected continual growth at a CAGR for around 15%.
Through 2021, the majority of service providers will use next-gen automation services, thus reducing the commodity service costs by 15% to 25% annually.
Inspirisys established a strategic partnership with Nanoheal (Predictive Endpoint Management and Automation Solution) for enabling PoC, deployment, and management Capabilities.
It is always nice to search for an alternative option to end-user computing at the time of replacement with a new one. It is a common scenario when major desktops gets outdated and requires replacement with huge Capex. Typical work environments still occupy desktops, which are difficult in maintenance, management, and security perspectives. However, Laptops are economical in price, complete replacement in place of the desktops in work environments is not possible.
On the other hand, Laptops are considered prominent for a portable workforce, as compared to brick-and-mortar based work environments. These challenges gradually decreased at the work environment after the arrival of zero client devices supporting Virtualization technologies.
The selection of apt appropriate zero client product requires assessment on considerable aspects such as Zero Client Brand, the reliability of the product, knowledge to implement an end-user computing solution, application compatibility with a new technology platform, end-user acceptance, OS Licensing challenges, and the most essential Cost-Benefit Analysis with respect to Desktops (thick clients) versus Zero Clients (thin clients).
After careful considerations and cross-checks with various endpoints, one can then get into action in a phased manner. A typical setup can be hosted with X86 based decent PC and server for virtualization and form zero client network for 10+ users and cautiously keep an old desktop intact to roll back on any negative results.
It is also noticed that the backup desktop is unused for a coupler of months after implementation and that the zero client platform has a decent, adaptable, new end-user computing model. Zero client platform typically saves 40% cost against desktop (Branded desktops or not).
This new environment can also be good for maintenance and manageability by infra engineers, as they need to address all user challenges at the server level rather than running to the user desk. Adding users to Zero Client Nodes helped immediate desktop availability to the new user and relieved from the hassle of backing up old data including those of email .PST files of left employees.
Moving to Zero Client environment can open new venues for VDI toward desktops for security-driven organizational goals. Moving to VDI is easier as VDI server to be pointed in devices and retiring local server after Images are transferred. Surprisingly, users can operate their own desktop anywhere in the office given better user experience against “My Desktop” mindset.
Mobile operating environments like smartphones can benefit from on-device inference for machine learning tasks. It is common for mobile devices to use machine learning models hosted on the cloud. This approach creates latency and service availability problems, in addition to cloud service costs. With Tensorflow Lite, it becomes possible to do such inference tasks on the mobile device itself. Model training is done on high-performance computing systems and the model is then converted and imported to run on Tensorflow Lite installed on the mobile.
This work demonstrates a method to train a convolutional neural network (CNN) based multiclass object detection classifiers and then import the model to an Android device. In this study, Tensorflow Lite is used to processing images of cars and identify its parts on an Android mobile phone. This technique can be applied to a camera video stream in real-time, providing a kind of augmented reality (AR) experience.
Introduction to Tensorflow Lite
Tensorflow Lite, the next evolution of TensorFlow Mobile promises better performance to leverage hardware acceleration on supported devices. It also has few dependencies, resulting in smaller binaries than its predecessor. TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It enables on-device machine lea