Thông tin tài liệu
Nhan đề : | Online and transparent self-adaptation of stream parallel patterns |
Tác giả : | Adriano, Vogel Gabriele, Mencagli Dalvan, Griebler |
Năm xuất bản : | 2021 |
Nhà xuất bản : | Springer |
Tóm tắt : | 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. |
Mô tả: | CC BY |
URI: | https://link.springer.com/article/10.1007/s00607-021-00998-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8274 |
Bộ sưu tập | OER - Công nghệ thông tin |
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