Therefore, migrating data efficiently requires knowledge of systems internals and assumptions. In this paper we present Muses, a distributed, high-performance ...
Muses: Distributed data migration system for polystores
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In this paper we present Muses, a distributed, high-performance data migration engine that is able to forward, transform, repartition, and broadcast data ...
The estimates for query execution times are then obtained by comparing the characteristics of the current query with those of the previously executed ones.
Muses is a distributed, high-performance data migration engine that is able to interconnect distributed data stores by forwarding, transforming ...
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在本文中，我们提出了一个分布式、高性能的数据迁移引擎muse，它能够在分布式引擎的实例之间有效地转发、转换、重分区和广播数据。muse不需要对底层执行引擎进行任何更改。
Muses is a distributed, high-performance data migration engine that is able to interconnect distributed data stores by forwarding, transforming ...
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Markl, Muses: Distributed Data Migration System for Polystores, IEEE 35th International Conference on Data Engineering (ICDE) 2019 Apr 8 (pp. 1602–1605) ...
Muses: Distributed Data Migration System for Polystores · Computer Science, Engineering. 2019 IEEE 35th International Conference on Data… · 2019.
We show an overall improvement of 30 % for pipelining jobs across multiple engines, even when we count the overhead of Muses in the execution time. This ...