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This paper presents Odyssey, a novel distributed data-series processingframework that efficiently addresses the critical challenges of exhibiting goodspeedup and ensuring high scalability in data series processing by takingadvantage of the full computational capacity of modern clusters comprised ofmulti-core servers. Odyssey addresses a number of challenges in designingefficient and highly scalable distributed data series index, includingefficient scheduling, and load-balancing without paying the prohibitive cost ofmoving data around. It also supports a flexible partial replication scheme,which enables Odyssey to navigate through a fundamental trade-off between datascalability and good performance during query answering. Through a wide rangeof configurations and using several real and synthetic datasets, ourexperimental analysis demonstrates that Odyssey achieves its challenging goals.

Odyssey: A Journey in the Land of Distributed Data Series Similarity Search