Internet Cache System: Cloud Downloading System

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The latest premium services provided for video content downloading is called as cloud downloading. Consisting of two modes namely server mode and helper mode. Both these designs are useful for certain operating regimes. Here to propose an algorithm called Automatic Mode Selection (AMS) that switches between the modes automatically. Thus, it helps to optimize the design of cloud downloading services (Yipeng Zhou et al., 2013). Yan et al focused on using cloud download scheme for providing satisfactory content distribution service for unpopular video by improving the data transfer rate and by utilising the cloud to guarantee the data health of video (Huang et al., 2011).Nalini and Srinivas proposed a predictive placement policy that determines the degree of replication based on priori predictions of injected subscriber requests for popular videos. This policy can be combined with an adaptive scheduling policy which determines the relative utility of resources in a video server for assignment of request to replicas. This combination performs best for more server configurations as load management procedure (Venkatasubramanian.N and S. Ramanathan, 1997). Peer-to-Peer overlay networks such as Bittorrent and Avalanche are highly implemented on large files for higher performance in an transaction from the server to as many end-users. The core concept is that the files are splitted into equal size in order to be downloaded by the users from the host. However the performance haven’t reached the higher merits when compared to one system and the other new concept is that,analytical performance analysis based on the new uplink sharing version of broadcasting problem (Mundinger et al., 2008). Pure P2P architecture implement resource mediation ...

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...ent Delivery Networks (CCDN). In this paper, an efficient solution is provided for distributing content over multi-provider inter network environment. Novel replica placement algorithms are used to overcome replica placement problem for the virtualized environment (ChrysaPapagianni et al., 2013).A traditional system using virtual machine cannot satisfy the increased demand for large scale VM hosting. So we propose Liquid, a scalable deduplication file system designed particularly for large scale VM deployment leading to increased IO performance by caching frequently accessed data (Xun Zhao et al., 2013).. A way to respond to a large number of user requests using virtual machines is a challenge. We address this challenge with VMThunder, a new VM tool and speed up VM image streaming by integrating peer-to-peer (P2P) streaming techniques (Zhaoning Zhang et al., 2014).

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