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Hadoop clusters are gaining more and more in popularity based on their ability to parallelize and complete large scale computational tasks on big data. Service offerings of this type have appeared in the recent years, covering a need for dynamic and on-demand creation of such data analytics frameworks. The aim of this paper is to provide a mechanism for offering such virtual clusters as a service,...
Increasing emphasis in data protection legislation on the provision of user consent and privacy protection poses a challenge to automated Cloud Computing applications.. Here, the infrastructure is removed from the user and therefore no direct link for consent or user control exists. In such environments assurance and best effort from the Cloud Provider to carry out the users wishes and protect his...
This paper presents a flexible and scalable motion estimation processor capable of supporting the processing requirements for high-definition (HD) video using the H.264 Advanced Video Codec, which is suited for FPGA implementation. Unlike most previous work, our core is optimized to execute all existing fast block matching algorithms, which we show to match or exceed the inter-frame prediction performance...
In the recent years, cloud computing has emerged as the new IT paradigm that promises elastic resources on a pay-per-use basis. The challenges of cloud computing are focused around massive data storage and efficient large scale distributed computation. Hadoop, a community driven Apache project has provided an efficient and cost effective platform for large scale computation using the map-reduce methodology,...
This paper presents a reconfigurable processor and an associated toolset able to generate high-performance and fast motion estimation cores for high-definition video coding applications. The presented tools include a compiler, a cycle-accurate model and a design space exploration framework. With the help of these tools the designer can generate a processor architecture and algorithm pair matched to...
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