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When processing data streams with highly skewed and nonstationary key distributions, we often observe overloaded partitions when the hash partitioning fails to balance data correctly. To avoid slow tasks that delay the completion of the whole stage o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f12deca0ee696ce5fc4d960f095274
In the fields of big data, AI, and streaming processing, we work with large amounts of data from multiple sources. Due to memory and network limitations, we process data streams on distributed systems to alleviate computational and network loads. Whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0503519007309e7ac3297851fc6b5fde
http://arxiv.org/abs/2006.09895
http://arxiv.org/abs/2006.09895