Contrastive learning is a new self-supervised representation learning technique, which is considered to have great potential to improve the performance of downstream learning tasks. Recently, some researchers have con...
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Presents a detailed characterization of Java application and applet workloads in terms of reuse and sharing of Java code at the program, class and method level. In order to expose more sharing opportunities, technique...
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It is well known that network coding can enhance the performance of Peer-to-Peer (P2P) content distribution systems since it benefits block scheduling. In this paper, we introduce our P2P content distribution system &...
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Network coding can ease the block scheduling and thus makes the distribution more efficient. However, the complexities of encoding and decoding increase sharply as the content size scales up. In this paper, we propose...
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Layering techniques effectively cope with network heterogeneity encountered in media distribution. Recent work on network coding shows that the multicast throughput can be greatly improved by allowing coding operation...
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Grid service is composed of elementary services and the execution procedure is characterized by dynamical evolvement and exceptional no-determinism. The existing service description language, BPEL4WS (abbreviated to B...
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This paper discusses a parallel implementation of the Finite-Difference Time-Domain (FDTD) method using Unified Parallel C (UPC). UPC is an extension of ANSI C - primarily designed for programming distributed memory p...
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Container-based highperformance Computing (HPC) has started gaining popularity due to its almost negligible performance penalty compared to the BareMetal hardware. Although HPC hardware architectures and programming ...
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Distributed video coding (DVC) is a new paradigm of coding that makes very interest to itself in the past decade. It's usually based on temporal correlations between successive frames which are called key frames. ...
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A reputation mechanism is introduced in P2P- based Semantic Web to solve the problem of lacking trust. It enables Semantic Web to utilize reputation information based on semantic similarity of peers in the network. Th...
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A reputation mechanism is introduced in P2P- based Semantic Web to solve the problem of lacking trust. It enables Semantic Web to utilize reputation information based on semantic similarity of peers in the network. This approach is evaluated in a simulation of a content sharing system and the experiments show that the system with reputation mechanism outperforms the system without it.
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