Sinfonia

Author:

Aguilera Marcos K.1,Merchant Arif1,Shah Mehul1,Veitch Alistair1,Karamanolis Christos2

Affiliation:

1. HP Laboratories, Palo Alto, CA

2. VMware, Palo Alto, CA

Abstract

We propose a new paradigm for building scalable distributed systems. Our approach does not require dealing with message-passing protocols -- a major complication in existing distributed systems. Instead, developers just design and manipulate data structures within our service called Sinfonia. Sinfonia keeps data for applications on a set of memory nodes, each exporting a linear address space. At the core of Sinfonia is a novel minitransaction primitive that enables efficient and consistent access to data, while hiding the complexities that arise from concurrency and failures. Using Sinfonia, we implemented two very different and complex applications in a few months: a cluster file system and a group communication service. Our implementations perform well and scale to hundreds of machines.

Publisher

Association for Computing Machinery (ACM)

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1. Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database;Companion of the 2024 International Conference on Management of Data;2024-06-09

2. Unanimous 2PC: Fault-tolerant Distributed Transactions Can be Fast and Simple;Proceedings of the 11th Workshop on Principles and Practice of Consistency for Distributed Data;2024-04-22

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5. A distributed B+Tree indexing method for processing range queries over streaming data;Cluster Computing;2023-05-07

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