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Needle in a haystack: Cost-Effective data analytics for real-time cloud sharing
<span title="">2014</span>
<i title="IEEE">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5yvef3nmpjavtl2qbmdg2yd3je" style="color: black;">2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)</a>
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Real-time file sharing is important to improve the quality of cloud services. Current cloud systems however fail to efficiently offer cost-effective data analytics due to slow response and energy inefficiency. In order to support real-time processing and improve energy efficiency in the cloud, this paper proposes a novel cost-effective data analytics scheme, called Needle. The idea behind Needle is to use flat-addressing and content-aware naming approaches to deliver high performance of network
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... transmission. Needle leverages a suitable division-of-labor model between core and edge network nodes to efficiently support content-aware queries in the cloud data center networks. Experimental results demonstrate that Needle is able to support cloud sharing service in a real-time and efficient manner.
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