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Water plays a vital role for the survival of life. We get water in different forms of precipitation and rain is the most beneficial of all types. The demand for water is very high throughout the Pakistan, especially where we have limited natural water resources. Summer monsoon season has profound impact in reducing water scarcity in Pakistan. Heavy rainfall results into floods whereas less rainfall creates drought which not only affects the economy but also puts human life in risk. The aim of this research is to manage the movement of clouds from heavy rainfall areas to those areas where there is paucity of water, through satellite using electromagnetic waves. To accommodate such a sensitive satellite data which is paramount to a country, it is required to have some special systems based on quantum mechanics that are more efficient and pregnable than conventional computers. The consequences will be very high of not securing weather management system, implies to country level disasters. In this paper we first discuss the technology behind quantum computer then proposed a secure architecture by employing quantum computers to ensure the security of data transmission for weather management system. [ABSTRACT FROM AUTHOR]

Free Space optical (FSO) communication is one of the most emerging solutions for high data rate communication system to meet appetite requirements of data users. FSO communication system is suitable for both indoor and outdoor communication links. There are several factors which can degrade the performance of FSO communication link for both indoor and outdoor communication. But optical communication link is highly affected by the dust, sand, rain and fog which limit the performance of optical link in outdoor environment. FSO can impressively utilize as a back-hall communication link to connect different data communication terminals due to its several advantages like unregulated bandwidth, no influence of electromagnetic energies, highly secure and its frequency in THz. Defused link FSO communication (Li-fi) can also be a solution to solve bottle neck issues for indoor users. In this paper, we have, simulated dust and rain attenuation models. These models are further utilized to analyze the performance factors like Quality factor (Q-factor), signal to Noise ratio (SNR) and Bit Error Rate (BER). These factors are highly correlated with each other. The environmental attenuation decreases SNR of FSO communication link. SNR and Q-factors are directly proportionate and inverse in relation with BER. These three factors are simulated for 10Gbps back hall FSO communication link under dusty and rainy condition has been analyzed in Lahore, Pakistan. [ABSTRACT FROM AUTHOR]

Summary: Internet is playing a vital role in providing information to billions of people around the world. It is the fastest way to communicate information worldwide. Over the years, information technology has provided solutions to many problems in different domains of life. With the advent of cloud computing and the internet of things (IOT), most of these domains are now employing cloud networks to save resources and money. Cloud provides a platform to store and process information with minimal resources and investment. Due to the vast geographical distribution and large distances between the cloud networks and the end user nodes, transmission of data over cloud networks provides problems of latency and delay that can cause major hazards in applications that require real‐time processing. In order to analyze the issues related to slow/no response from Clouds, a case study based on a mock E‐poll held under the Election commission of Pakistan is analyzed, and a remedy to the latency experienced during the polling process has been suggested. It involves the use of the newly proposed Fog Computing Paradigm to allow fast processing of real‐time data. This paper provides a solution to latency issues in cloud networks by proposing an intelligent way of identifying which data can be processed on close‐proximity Fog networks and which can be sent to the cloud for bulk processing. The aim is to reduce the time consumed for real‐time processing over the traditional cloud setup. [ABSTRACT FROM AUTHOR]