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A research fork of eiger that provides explicit causality (Senior Thesis)
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tadeegan/eiger-application-aware
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Link to thesis: https://goo.gl/wbeaCD Eiger is a research prototype that provides stronger consistency (causal consistency) and semantics (read- and write-only transactions) for low-latency geo-replicated storage. It is a fork of Cassandra. Release Information ------------------- The code is released in its current research-quality form. I plan on improving it in the future if time allows. I stripped out the parameterization of the Facebook workload for now, because I'm not sure if I'm allowed to release it. Paper Abstract -------------- We present the first scalable, geo-replicated storage sys- tem that guarantees low latency, offers a rich data model, and provides “stronger” semantics. Namely, all client requests are satisfied in the local datacenter in which they arise; the system efficiently supports useful data model abstractions such as column families and counter columns; and clients can access data in a causally-consistent fashion with read-only and write-only transactional support, even for keys spread across many servers. The primary contributions of this work are enabling scalable causal consistency for the complex column- family data model, as well as novel, non-blocking al- gorithms for both read-only and write-only transactions. Our evaluation shows that our system, Eiger, achieves low latency (single-ms), has throughput competitive with eventually-consistent and non-transactional Cassandra (less than 7% overhead for one of Facebook’s real-world workloads), and scales out to large clusters almost linearly (averaging 96% increases up to 128 server clusters). More Information ---------------- Our paper on Eiger has more information: http://www.cs.princeton.edu/~wlloyd/papers/eiger-nsdi13.pdf Requirements ------------ * Java >= 1.6 (OpenJDK has been tested) Getting started --------------- Please see the documentation for Cassandra.
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