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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Adriano, Vogel | - |
| dc.contributor.author | Gabriele, Mencagli | - |
| dc.contributor.author | Dalvan, Griebler | - |
| dc.date.accessioned | 2023-04-25T04:53:56Z | - |
| dc.date.available | 2023-04-25T04:53:56Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s00607-021-00998-8 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8274 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | Several real-world parallel applications are becoming more dynamic and long-running, demanding online (at run-time) adaptations. Stream processing is a representative scenario that computes data items arriving in real-time and where parallel executions are necessary. However, it is challenging for humans to monitor and manually self-optimize complex and long-running parallel executions continuously. Moreover, although high-level and structured parallel programming aims to facilitate parallelism, several issues still need to be addressed for improving the existing abstractions. In this paper, we extend self-adaptiveness for supporting autonomous and online changes of the parallel pattern compositions. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | transparent self-adaptation | vi |
| dc.title | Online and transparent self-adaptation of stream parallel patterns | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Công nghệ thông tin | ||
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