A thorough overview of desktop virtualization, a growingly popular technology that allows centralized and effective IT management, is provided in this review paper. Exploring desktop virtualization's benefits, drawbacks, various forms, impact on contemporary workplaces, and potential future trends are the main objectives. The advantages of desktop virtualization are emphasized in the report, including increased productivity, cost savings, and improved security. It explores the numerous forms of virtualization, such as client-based, server-based, and application virtualization, highlighting their special qualities and applicability for varied organizational purposes. The article also addresses how virtual desktop infrastructure (VDI) supports bring-your-own-device (BYOD) rules, allowing workers to access their work environments from any place and device. In today's dynamic workplace, this feature improves collaboration and overall efficiency. The study concludes by examining the potential of desktop virtualization and offering information on new trends and advancements that have the potential to influence the field. This review paper provides a thorough overview, making it a useful tool for businesses wishing to use desktop virtualization in their IT infrastructure.

Cloud computing is the new era technology, which is entirely dependent on the internet to maintain large applications, where data is shared over one platform to provide better services to clients belonging to a different organization. It ensures maximum utilization of computational resources by making availability of data, software and infrastructure with lower cost in a secure, reliable and flexible manner. Though cloud computing offers many advantages, but it suffers from certain limitation too, that during load balancing of data in cloud data centers the internet faces problems of network congestion, less bandwidth utilization, fault tolerance and security etc. To get rid out of this issue new computing model called Fog Computing is introduced which easily transfer sensitive data without delaying to distributed devices. Fog is similar to the cloud only difference lies in the fact that it is located more close to end users to process and give response to the client in less time. Secondly, it is beneficial to the real time streaming applications, sensor networks, Internet of things which need high speed and reliable internet connectivity. Our proposed architecture introduced a new scheduling policy for load balancing in Fog Computing environment, which complete real tasks within deadline, increase throughput and network utilization, maintaining data consistency with less complexity to meet the present day demand of end users.

Cloud computing is a model of sharing computing resources over any communication network by using virtualization. Virtualization allows a server to be sliced in virtual machines. Each virtual machine has its own operating system/applications that rapidly adjust resource allocation. Cloud computing offers many benefits, one of them is elastic resource allocation. To fulfill the requirements of clients, cloud environment should be flexible in nature and can be achieve by efficient resource allocation. Resource allocation is the process of assigning available resources to clients over the internet and plays vital role in Infrastructure-as-a-Service (IaaS) model of cloud computing. Elastic resource allocation is required to optimize the allocation of resources, minimizing the response time and maximizing the throughput to improve the performance of cloud computing. Sufficient solutions have been proposed for cloud computing to improve the performance but for fog computing still efficient solution have to be found. Fog computing is the virtualized intermediate layer between clients and cloud. It is a highly virtualized technology which is similar to cloud and provide data, computation, storage, and networking services between end users and cloud servers. This paper presents an efficient architecture and algorithm for resources provisioning in fog computing environment by using virtualization technique.