Husky: Towards a more efficient and expressive distributed computing framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - dl.acm.org
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …
被引用次数：67 相关文章
[PDF] archive.org

[PDF][PDF] Husky: Towards a More Efficient and Expressive Distributed Computing Framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - scholar.archive.org
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …
[PDF] vldb.org

[PDF][PDF] Husky: Towards a More Efficient and Expressive Distributed Computing Framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - vldb.org
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …
[PDF] researchgate.net

[PDF][PDF] Husky: Towards a More Efficient and Expressive Distributed Computing Framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - researchgate.net
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …
[PDF] cuhk.edu.hk

[PDF][PDF] Husky: Towards a More Efficient and Expressive Distributed Computing Framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - cse.cuhk.edu.hk
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …
[PDF] openreview.net

[PDF][PDF] Husky: Towards a More Efficient and Expressive Distributed Computing Framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - openreview.net
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …
[PDF] github.io

[PDF][PDF] Husky: Towards a More Efficient and Expressive Distributed Computing Framework

F Yang, J Li, J Cheng - Proceedings of the VLDB Endowment, 2016 - lijinf2.github.io
Finding efficient, expressive and yet intuitive programming models for data-parallel
computing system is an important and open problem. Systems like Hadoop and Spark have …