| Infinispan | |
|---|---|
 | |
| Developer | Red Hat |
| Stable release | 15.1
/ November 1, 2024 (2024-11-01) |
| Written in | Java |
| Platform | Platform independent |
| Type | Data grid |
| License | Apache License 2.0 |
| Website | infinispan |
Infinispan is a distributed cache1 and key–value NoSQL in-memory database developed by Red Hat. Java applications can embed it as library, use it as a service in WildFly21 or any non-java applications3 can use it, as remote service through TCP/IP.4
History
Infinispan is the successor of JBoss Cache.1 The project was announced in 2009.
Features
- Transactions
- MapReduce
- Support for LRU and LIRS eviction algorithms
- Through pluggable architecture, infinispan is able to persist data to filesystem, relational databases with JDBC, LevelDB, NoSQL databases like MongoDB, Apache Cassandra or HBase and others.5
Usage
Typical use-cases for Infinispan include:
- Distributed cache,1 often in front of a database
- Storage for temporal data, like web sessions
- In-memory data processing and analytics
- Cross-JVM communication and shared storage
- MapReduce Implementation in the In-Memory Data Grid.
- Embedding storing (Vector Search)
Infinispan is also used in academia and research as a framework for distributed execution and storage.
- Cloud2Sim6 leverages Infinispan for its distributed execution of MapReduce workflows and simulations.
- MEDIator data sharing synchronization platform for medical image archives7 leverages Infinispan as its distributed in-memory storage, as well as distributed execution framework.
- Cassowary8 uses Infinispan to store the context information in-memory, in order to provide the middleware platform for context-aware smart buildings.
Citations
Citations
- Adamski 2018, pp. 383–384, Chapter §15 Sharing the Web Sessions - Infinispan.
- Francesco Marchioni and Manik Surtani (2012). Infinispan Data Grid Platform. ISBN 9781849518222.
- Manik Surtani. "Infinispan: the Start of a New Era in Open Source Data Grids".
- Manik Surtani. "Infinispan".
- "Infinispan User Guide". Archived from the original on 2016-08-29. Retrieved 2016-08-24.
- Kathiravelu, Pradeeban; Veiga, Luís (8 December 2014). An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures. IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), 2014. London. pp. 79–88. doi:10.1109/UCC.2014.16.
- Kathiravelu, Pradeeban; Sharma, Ashish (10 August 2015). MEDIator: A Data Sharing Synchronization Platform for Heterogeneous Medical Image Archives. Workshop on Connected Health at Big Data Era (BigCHat'15), co-located with 21 st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015). Sydney. Retrieved 2 January 2016.
- Kathiravelu, Pradeeban; Sharifi, Leila; Veiga, Luís (8 December 2015). Cassowary: Middleware Platform for Context-Aware Smart Buildings with Software-Defined Sensor Networks (PDF). Proceedings of the 2nd Workshop on Middleware for Context-Aware Applications in the IoT. Vancouver. pp. 1–6. Archived from the original (pdf) on 8 December 2015. Retrieved 2 January 2016.
References
References
- Adamski, T. (2018). Hands-On Cloud Development with WildFly: Develop, deploy, and configure cloud-based, enterprise Java applications with WildFly Swarm and OpenShift. Packt Publishing. ISBN 978-1-78728-380-0. Retrieved June 20, 2023.