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- W4385680558 abstract "The failure atomic and isolated execution of clients operations is a default requirement for a system that serve multiple loosely coupled clients at a server. However, disaggregated memory breaks this requirement in remote indexes because a client operation is disaggregated to multiple remote reads/writes. Current indexes focus on performance improvements and largely ignore tolerating client failures. We argue that a practical DM index should be transactional: each index operation should be failure atomic and isolated in addition to being concurrency isolated. We present repairable transaction (rTX), a lightweight primitive to execute DM index operations. Each rTX can detect other failed rTXes on-the-fly with the help of concurrency control. Upon detection, it will repair their non-atomic updates online with the help of logging, thus hiding their failures from healthy clients. By further removing unnecessary logging and delegating concurrency control to existing carefully-tuned index algorithms, we show that transactional indexes can be built at a low performance overhead on disaggregated memory. We have refactored two state-of-the-art DM indexes, RaceHashing and Sherman (B+Tree), with rTX. Evaluations show that rTX is 1.2 to 2X faster than other alternatives, e.g., distributed transaction. Meanwhile, its overhead is up to 42% compared to non-fault-tolerant indexes." @default.
- W4385680558 created "2023-08-09" @default.
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- W4385680558 date "2023-07-21" @default.
- W4385680558 modified "2023-09-26" @default.
- W4385680558 title "Transactional Indexes on (RDMA or CXL-based) Disaggregated Memory with Repairable Transaction" @default.
- W4385680558 doi "https://doi.org/10.48550/arxiv.2308.02501" @default.
- W4385680558 hasPublicationYear "2023" @default.
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