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Wide range of researchers have explored and criticized the in-network caching performance for a set of algorithms, recently. While there are quite a few caching architecture proposals for Information-centric networks (ICN) to increase the effectiveness of it, there has also been criticisms against it stating that clever ideas do not improve the efficiency latency-wise. On the other hand, the default...
This paper realizes the K-Means clustering algorithm in the cloud computing. the MapReduce programming ideas are applied to text clustering in hadoop platform, and improve text clustering processing speed on the basis of ensuring the accuracy of clustering. Experiments prove that the cloud computing can significantly improve the clustering algorithm processing speed.
As the scale of Distributed Virtual Environments (DVEs) grows in terms of participants and virtual entities, using interest management schemes to reduce bandwidth consumption becomes increasingly common for DVE development. The interest matching process is essential for most of the interest management schemes which determines what data should be sent to the participants as well as what data should...
In this paper, we describe three major issues on supporting public cloud virtual machine such as the global scale. First is a heterogeneous provisioning issue. The kinds of operation systems that users require are various like as the required hardware performance diversity. Second, we propose a proper algorithm for guarantee about user's performance and efficiency of the cloud cluster resources together...
Location Based Services (LBSs) have recently attracted much attention due to the advancement of GPS facilitates. In LBS, the private and confidential information of user may disclose to others since LBS need a user's location. To protect the privacy of users, many cloaking algorithms have been proposed to hide user's actual location. The existing Hilbert cloaking algorithm support location privacy,...
We present two new cooperative caching algorithms that allow a cluster of file system clients to cache chunks of files instead of directly accessing them from origin file servers. The first algorithm, called C-LRU (Cooperative-LRU), is based on the simple D-LRU (Distributed-LRU) algorithm, but moves a chunk's position closer to the tail of its local LRU list when the number of copies of the chunk...
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