The latest premium services provided for downloading video content are called cloud downloading. Consisting of two modes, namely server mode and assistant mode. Both of these designs are useful for certain operating regimes. Here we propose an algorithm called Automatic Mode Selection (AMS) that automatically switches between modes. Thus, it helps to optimize the design of cloud download services (Yipeng Zhou et al., 2013). Yan et al. focused on using cloud uploading system to provide satisfactory content distribution service for unpopular videos by improving data transfer rate and using cloud to ensure data health of the video (Huang et al., 2011). Nalini and Srinivas proposed a predictive placement policy that determines the degree of replication based on a priori predictions of injected subscriber demands for popular videos. This policy can be combined with an adaptive scheduling policy that determines the relative utility of resources in a video server for assigning requests to replicas. This combination works best for a larger number of server configurations as a load management procedure (Venkatasubramanian.N and S. Ramanathan, 1997). Peer-to-Peer overlay networks such as Bittorrent and Avalanche are heavily implemented on large files for higher performance in a transaction from the server to as many end users. The basic concept is that files are divided into equal sizes in order to be downloaded by users from the host. However, the performance has not reached the highest merits with respect to a system and the other new concept is that of analytical performance analysis based on the new uplink sharing version of the broadcast problem (Mundinger et al., 2008). The pure P2P architecture implements resource mediation...... middle of paper ......ent Delivery Networks (CCDN). In this paper, an efficient solution is proposed to distribute content in a multi-vendor internetwork environment. New replica placement algorithms are used to overcome the replica placement problem in the virtualized environment (ChrysaPapagianni et al., 2013). A traditional system using a virtual machine cannot satisfy the growing demand for large-scale virtual machine hosting. We therefore propose Liquid, a scalable deduplication file system designed particularly for large-scale VM deployment leading to increased I/O performance by caching frequently accessed data (Xun Zhao et al., 2013). A way to respond to a large number of user queries using virtual machines is a challenge. We address this challenge with VMThunder, a novel VM tool, and accelerate VM image streaming by integrating peer-to-peer (P2P) streaming techniques (Zhaoning Zhang et al.., 2014).