| 书目名称 | Video Processing in the Cloud | | 编辑 | Rafael Silva Pereira,Karin K. Breitman | | 视频video | | | 概述 | Propose a general architecture for large scale distributed video processing system.Develop an algorithm that allows parallel and distributed task processing.Identifies and provides a precise formulati | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | As computer systems evolve, the volume of data to be processed increases significantly, either as a consequence of the expanding amount of available information, or due to the possibility of performing highly complex operations that were not feasible in the past. Nevertheless, tasks that depend on the manipulation of large amounts of information are still performed at large computational cost, i.e., either the processing time will be large, or they will require intensive use of computer resources. In this scenario, the efficient use of available computational resources is paramount, and creates a demand for systems that can optimize the use of resources in relation to the amount of data to be processed. This problem becomes increasingly critical when the volume of information to be processed is variable, i.e., there is a seasonal variation of demand. Such demand variations are caused by a variety of factors, such as an unanticipated burst of client requests, a time-critical simulation,or high volumes of simultaneous video uploads, e.g. as a consequence of a public contest. In these cases, there are moments when the demand is very low (resources are almost idle) while, conversely, a | | 出版日期 | Book 2011 | | 关键词 | Cloud computing; Distributed systems; Service orientated architectures; Video compression | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-2137-4 | | isbn_softcover | 978-1-4471-2136-7 | | isbn_ebook | 978-1-4471-2137-4Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | Rafael Silva Pereira 2011 |
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发表于 2025-3-21 19:24:25
