Composing concurrency control

Author:

Ziv Ofri1,Aiken Alex2,Golan-Gueta Guy1,Ramalingam G.3,Sagiv Mooly1

Affiliation:

1. Tel Aviv University, Israel

2. Stanford University, USA

3. Microsoft Research, India

Abstract

Concurrency control poses significant challenges when composing computations over multiple data-structures (objects) with different concurrency-control implementations. We formalize the usually desired requirements (serializability, abort-safety, deadlock-safety, and opacity) as well as stronger versions of these properties that enable composition. We show how to compose protocols satisfying these properties so that the resulting combined protocol also satisfies these properties. Our approach generalizes well-known protocols (such as two-phase-locking and two-phase-commit) and leads to new protocols. We apply this theory to show how we can safely compose optimistic and pessimistic concurrency control. For example, we show how we can execute a transaction that accesses two objects, one controlled by an STM and another by locking.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference33 articles.

1. A fast and lightweight key/value database library by google. http://code.google.com/p/leveldb. A fast and lightweight key/value database library by google. http://code.google.com/p/leveldb.

2. Sequential verification of serializability

3. N. Bronson. Scalastm 2010. URL http://nbronson.github.io/scala-stm/. N. Bronson. Scalastm 2010. URL http://nbronson.github.io/scala-stm/.

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2. Automatic Scalable Atomicity via Semantic Locking;ACM Transactions on Parallel Computing;2017-03-23

3. Transactional data structure libraries;ACM SIGPLAN Notices;2016-08

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