Applications and challenges of language virtual machines in big data
Language virtual machines provide a platform-independent execution environment for big-data applications and simplify their development and deployment phases,so they are widely used in the big-data scenario.The applications of two different kinds of mainstream language virtual machines:JVM and CLR,w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2020-07-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2020035 |
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| Summary: | Language virtual machines provide a platform-independent execution environment for big-data applications and simplify their development and deployment phases,so they are widely used in the big-data scenario.The applications of two different kinds of mainstream language virtual machines:JVM and CLR,were analyzed,and four challenges when adopting language virtual machines:initialization and warm-up overhead,garbage collection pauses,heterogeneous memory support,and data layout transformation,were summarized.Afterward,existing approaches to the challenges were discussed and their shortcomings and possible optimizations in the future were analyzed. |
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| ISSN: | 2096-0271 |