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    Architecture for speeding up program execution with cloud technology

    Cloud technology uses MapReduce to make computers quickly process a huge amount of data with plentiful resources in clouds, but requires that applications should be developed or reprogrammed to process data in...

    Tzu-Chi Huang, Ce-Kuen Shieh, Naveen Chilamkurti in The Journal of Supercomputing (2016)

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    Improving positioning accuracy for VANET in real city environments

    With advances in technology and the economy, people are more inclined to buy cars. However, as a result, people forfeit their lives and property through accidents due to traffic congestion and traffic chaos. T...

    Ming-Fong Tsai, Po-Ching Wang, Ce-Kuen Shieh in The Journal of Supercomputing (2015)

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    Contributing Authors

    Jyh-Biau Chang, Tyng-Yeu Liang, Ce-Kuen Shieh in The Journal of Supercomputing (2006)

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    A Transparent Distributed Shared Memory for Clustered Symmetric Multiprocessors

    A transparent distributed shared memory (DSM) system must achieve complete transparency in data distribution, workload distribution, and reconfiguration respectively. The transparency of data distribution allo...

    Jyh-Biau Chang, Ce-Kuen Shieh, Tyng-Yeu Liang in The Journal of Supercomputing (2006)

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    Finding a suitable system scale to optimize program performance on software DSM systems

    Recently, software distributed shared memory systems have successfully provided an easy user interface to parallel user applications on distributed systems. In order to prompt program performance, most of DSM ...

    Yi-Chang Zhuang, Jyh-Biau Chang, Tyng-Yeu Liang, Ce-Kuen Shieh in Cluster Computing (2006)

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    A Group-Based Load Balance Scheme for Software Distributed Shared Memory Systems

    Load balance is an important issue for the performance of software distributed shared memory (DSM) systems. One solution of addressing this issue is exploiting dynamic thread migration. In order to reduce the ...

    Yi-chang Zhuang, Tyng Yue Liang, Ce-kuen Shieh, Jun-qi Lee in The Journal of Supercomputing (2004)