Digital communications and e-commerce reshape corporate processes and add new risks to business activities. The recent outbreak of the coronavirus (COVID 19) pandemic, has led to an increase in the demand for instant messaging and videoconferencing. There has been the need to maximize the availability of messaging, and mostly videoconference platforms. These platforms provide endto-end communications services. Organizations have asked staff to work from home which necessitates work from home as well as meeting up with regular work schedule meetings which are carried out via these platforms mentioned. Communication Networks provide channels for such tasks to be carried out. These networks are used for the transmission for a wide range of valuable and confidential information. As a result, they draw the interest of persons who want to intercept or manipulate data or interrupt or damage the storage or communication of the networks. In this study a review of security as it pertains end-to-end connection is presented, we looked at a brief background of the issues which includes a description of security engineering with attendant examples, made our findings and observations. The paper ends with a brief in the form of a case study of a few ICT firms that provide end-to-end services. Such services fall into the category of instant messaging (IM), videoconferencing and remote management, showing how much they value end-to-end encryption and the impact it could have on their businesses.

Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by HPC entities. The database could improve system energy efficiency by sampling all the components’ power consumption at regular intervals and the information contained in a database. The information stored in the database will serve as input data for energy-efficiency optimization. More so, device workload information and different usage metrics are stored in the database. There has been strong momentum in the area of artificial intelligence (AI) as a tool for optimizing and processing automation by leveraging on already existing information. This paper discusses ideas for improving energy efficiency for HPC using AI.