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Distributed middleware architectures for scalable media services
Affiliation:1. College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China;2. Key Laboratory of Pollution Processes and Environmental Criteria, Ministry of Education, Tianjin 300350, China;3. Tianjin Engineering Center of Environmental Diagnosis and Contamination Remediation, Tianjin 300350, China;4. Environmental Engineering Program, Department of Civil Engineering, Auburn University, Auburn, AL 36849, USA;1. National Centre for Nanoscience and Nanotechnology, University of Madras, Guindy Campus, Chennai 600025, India;2. Department of Biochemistry, University of Madras, Guindy Campus, Chennai 600025, India
Abstract:The fusion of Multimedia and Internet technology has introduced an ever-increasing demand for large-scale reliable media services. This exposes the scalability limitations of current middleware architectures, as they traditionally operate on either very large-server configurations or on tightly coupled distributed systems. On the other hand, the wide availability of high-speed networks and the widespread deployment of powerful personal computing units by end users, has emphasized the advantages of the peer-to-peer (P2P) computing model. In this paper, we evaluate a number of different middleware architectures that facilitate the timely and reliable delivery of media services in P2P networks. Our evaluated architectures exploit features including availability of high-performance links, replication and caching of popular items and finally state-of-the-art search techniques proposed in the context of structured and unstructured P2P overlay networks. Through detailed simulation we investigate the behavior of the suggested P2P architectures for video provision and examine the involved trade-offs. We show that under realistic assumptions, the evaluated architectures are resilient to multiple peer-failures, are scalable with respect to dropped requests when the number of messages in the network increases and provide good response times to the user requests.
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