الفهرس 
Dissertation Contributions
Cloud ComputingOnly 14 pages are availabe for public view
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Abstract
Network Coding is a method to improve the flow of data within the network. It can allow a more efficient use of network resources by combining data instead of the traditional method of store and forward. It has many benefits such as throughput, reliability, distributed nature, low complexity, mobility and security. Likewise, the Random Linear Network Coding (RLNC) has extra benefits where the code is carried within each packet; thus, it eliminates the tracking overhead. It further gives lossless data in lossy media and provides high efficiency in the multicast and broadcast data transmission to enhance the average overall response time (delay). Accordingly, the RLNC is selected for all the above benefits. Different research in the field has not addressed the effect of the RLNC in the multimedia cloud computing data transmission. The number of research which has discussed; discussed it only when using in data storage. The limitations of the construction of multimedia cloud computing in data transmission can affect the transmission performance of this data. So, the main problem is achieving high performance with less delay and less cost for specific services in multimedia Cloud Computing which affect the Service Level Agreements (SLA). The SLA includes of all the services which the user needs. The dissertation presents three new structural proposed systems that use network coding (RLNC) in data transmission to improve the performance of the multimedia (Static/Dynamic) over the Cloud Computing. The proposed systems have been implemented and tested through using a cloud simulator, namely the CloudAnalyst Simulator where some features are added to deal with the nature of multimedia data and extract the required measurements. The different proposed systems have been developed for different applications of unicast and multicast transmission (Patching Method) in the large-scale environment (LSE) as a public CC as well as the small scale environment (SSE) as a private CC. The test was conducted to create different scenarios. The results were analyzed and compared to those of previous work within the field, although they were limited. Results have revealed that there is an improvement in the performance of the multimedia cloud computing, which, in turn, improves the performance of the service provided and reduces the cost in some scenarios. Not only that, but also it reflected directly on the quality of service (QoS) which is related to the user service level agreement (SLA). The dissertation also has developed the dynamic multimedia cloud computing by adding the RLNC (as a channel coding) with video coding (as a source coding) features to improve the performance of dynamic multimedia over the multimedia cloud computing and compare the results with the same system but using video coding only (as a real situation) to prove the throughput improvement. The results of all the proposed systems are promising in delay, DC processing time, PSNR and cost.