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).
The last few years has seen an explosion in the use of the Internet as a means for exchanging, free of charge, digital media by way of Peer-to-Peer (P2P) file sharing technologies. Initially, the practice was primarily limited to the swapping of music, in the form of MP3 files. The pervasiveness of broadband, the advent of newer file types, and the creation of more sophisticated technologies has subsequently made possible the exchange of other types as well – including movies, television shows and software. Again, for free.
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...ed “torrenting”. When something is “torrented”, it is spread across multiple computers in hundred of fragments. After someone has there “torrenting” software setup properly it tracks the fragments, downloads them, and re-assembles them into a duplicate of the original file. Torrenting is most common because it provides a degree of anonymity too music sharing, it is safety in numbers.
Medical imaging, as we all know, is the process of taking images of various parts of the human body for diagnostic and surgical purposes. Some of the popular medical imaging modalities are X-ray radiography, Magnetic resonance imaging, Medical ultrasound, Computed tomography etc. Since, these images contain clinical data of extreme importance for treatment follow-ups and are acquired at cost of radiation exposure, infrastructure, money and time involved. Thus, once acquired, the medical imaging data should not be disposed off casually, instead it should be retained so that it can be utilized for various medical applications and the chances of repeated testing can be minimized. Also, maintaining electronic health records of patients serves as database for medical research and experimentation. However, growing use of digital imaging techniques has exponentially increased the demands for storage space, handling and transfer of these medical images. These digital image files have large size and thus, require a huge amount of memory space. Moreover, transmitting these files over networks is a time consuming job.
Sending data through the internet efficiently has always posed many problems. The two major technologies used, Ethernet and Asynchronous Transfer Mode (ATM), have done an admirable job of porting data, voice and video from one point to another. However, they both fall short in differing areas; neither has been able to present the "complete" package to become the single, dominant player in the internet market. They both have dominant areas they cover. Ethernet has dominated the LAN side, while ATM covers the WAN (backbone). This paper will compare the two technologies and determine which has a hand-up in the data trafficking world.
Decentralized IP Cameras: These cameras have inbuilt recording function and store data locally on flash drives. This is best for small sizes business. However th...
Consumer entertainment is in the middle of two radical transitions -- the shift from analog to digital, and the shift from physical media to Internet distribution. The shift to digital is nearly complete, but the shift to Internet distribution is still far from over. The first content to make both transitions was music. Though there is still substantial physical distribution of music on CD's, Internet distribution through services such as Apple iTunes is rapidly eclipsing CD sales. Video is now largely digital, but has been slower to make the transition to Internet distribution. There are technical reasons, such as multi-gigabyte file sizes, and multi-hour download times, that contributed to initial delays, but with today's broadband services, and ever cheaper high-capacity hard drives, the real hold-up is now business models. To date, Internet video distribution has followed three basic models: ala-carte pricing in which a fee is charged to rent or buy a show, advertising-funded in which the viewer "pays" for what they watch by watching ads inserted in the program stream, and subscription pricing in which a periodic fee is paid to access a library of content. This paper examines all three, and draws conclusions about which of the three will win in the end.
Originally, Napster was a kind of file sharing software. File sharing software had been developed as database managing software. As the internet has grown so huge all over the world, a distributed database system model has been proposed as the preferring system. The file sharing P2P software has become the celebrated information tool for storage system. But now, rapid growth of broadband and the ability to be anonymous on the internet threaten the entertainment industry’s control of the distribution of such products as movie and music. We can get music or movie files with P2P software through the internet for free.
Google File System (GFS) was developed at Google to meet the high data processing needs. Hadoop’s Distributed File System (HDFS) was originally developed by Yahoo.Inc but it is maintained as an open source by Apache Software Foundation. HDFS was built based on Google’s GFS and Map Reduce. As the internet data was rapidly increasing there was a need to store the large data coming so Google developed a distributed file system called GFS and HDFS was developed to meet the different client needs. These are built on commodity hardware so the systems often fail. To make the systems reliable the data is replicated among multiple nodes. By default minimum number of replicas is 3. Millions of files and large files are common with these types of file systems. Data is more often read than writing. Large streaming needs and small random needs are supported.
Decentralized Peer-to-Peer (P2P) overlay networks are distributed systems in nature, without any hierarchical organization or centralized control. They are typically divided in two main classes: structured and unstructured [39].
Qiang Duan; Yuhong Yan; Vasilakos, A.V., "A Survey on Service-Oriented Network Virtualization Toward Convergence of Networking and Cloud Computing," Network and Service Management, IEEE Transactions on , vol.9, no.4, pp.373,392, December 2012
Peer-to-peer (P2P) is an substitute, network model to that provided by traditional client-server architecture. P2P networks use a decentralised model in which each machine, referred to as a peer, functions as a client with its own layer of server functionality. A peer plays act as of a client and a server at the same time. That is, the peer can begin requests to other peers, and at the same time answer to incoming requests from other peers on the network. It differs from the traditional client-server model where a client can only send requests to a server and then wait for the server’s response. With a client-server approach, the performance
All around the world people connected to the internet are downloading free digital content through P2P file sharing software.
Cloud computing is a type of computing that depends on sharing computing resources rather than having local servers or personal device to handle applications.
In our society, there has been a revolution which competes that of the industrial revolution. It is called technological revolution. At the top of the technological revolution is what we call, the Internet. In the following report we will be discussing about what the internet is about in general and how it might be in the future, why it is necessary in our everyday lives, and why has it become so important to everyone (i.e. companies, individuals ).