Ares : Adaptive, Reconfigurable, Erasure coded, Atomic Storage

Author:

Nicolaou Nicolas1,Cadambe Viveck2,Prakash N.3,Trigeorgi Andria4,Konwar Kishori5,Medard Muriel5,Lynch Nancy5

Affiliation:

1. Algolysis Ltd, Limassol, Cyprus

2. Pennsylvania State University, University Park, PA

3. Intel Corp., Hillsboro, OR

4. University of Cyprus, Nicosia, Cyprus

5. Massachusetts Instituteof Technology, Cambridge, MA

Abstract

Emulating a shared atomic , read/write storage system is a fundamental problem in distributed computing. Replicating atomic objects among a set of data hosts was the norm for traditional implementations (e.g., [ 11 ]) in order to guarantee the availability and accessibility of the data despite host failures. As replication is highly storage demanding, recent approaches suggested the use of erasure-codes to offer the same fault-tolerance while optimizing storage usage at the hosts. Initial works focused on a fixed set of data hosts. To guarantee longevity and scalability, a storage service should be able to dynamically mask hosts failures by allowing new hosts to join, and failed host to be removed without service interruptions. This work presents the first erasure-code -based atomic algorithm, called Ares , which allows the set of hosts to be modified in the course of an execution. Ares is composed of three main components: (i) a reconfiguration protocol , (ii) a read/write protocol , and (iii) a set of data access primitives (DAPs) . The design of Ares is modular and is such to accommodate the usage of various erasure-code parameters on a per-configuration basis. We provide bounds on the latency of read/write operations and analyze the storage and communication costs of the Ares algorithm.

Funder

Center for Science of Information NSF

AFOSR

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tracing the Latencies of Ares: A DSM Case Study;Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems;2024-06-17

2. Invited Paper: Towards Practical Atomic Distributed Shared Memory: An Experimental Evaluation;Lecture Notes in Computer Science;2022

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