Fast and cautious evolution of cloud storage
HotStorage'10 Proceedings of the 2nd USENIX conference on Hot topics in storage and file systems
Lightweight collaboration management
Proceedings of the 3rd and 4th International Workshop on Web APIs and Services Mashups
Building a faceted browser in CouchDB using views on views and erlang metaprogramming
WFLP'11 Proceedings of the 20th international conference on Functional and constraint logic programming
Disco: a computing platform for large-scale data analytics
Proceedings of the 10th ACM SIGPLAN workshop on Erlang
Calvin: fast distributed transactions for partitioned database systems
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
SofEA: a pool-based framework for evolutionary algorithms using CouchDB
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Mitigating High Latency Outliers for Cloud-Based Telecommunication Services
Bell Labs Technical Journal
High throughput computing over peer-to-peer networks
Future Generation Computer Systems
Automated and transparent model fragmentation for persisting large models
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
Message-passing concurrency for scalable, stateful, reconfigurable middleware
Proceedings of the 13th International Middleware Conference
Crowdsourcing MapReduce: JSMapReduce
Proceedings of the 22nd international conference on World Wide Web companion
Designing and testing a pool-based evolutionary algorithm
Natural Computing: an international journal
Source code management for projectional editing
Proceedings of the 2013 companion publication for conference on Systems, programming, & applications: software for humanity
A framework for user driven data management
Information Systems
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Three of CouchDB's creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. With its simple model for storing, processing, and accessing data, CouchDB is ideal for web applications that handle huge amounts of loosely structured data. That alone would stretch the limits of a relational database, yet CouchDB offers an open source solution that's reliable, scales easily, and responds quickly. CouchDB works with self-contained data that has loose or ad-hoc connections. It's a model that fits many real-world items, such as contacts, invoices, and receipts, but you'll discover that this database can easily handle data of any kind. With this book, you'll learn how to work with CouchDB through its RESTful web interface, and become familiar with key features such as simple document CRUD (create, read, update, delete), advanced MapReduce, deployment tuning, and more. Understand the basics of document-oriented storage and manipulation Interact with CouchDB entirely though HTTP using its RESTful interface Model data as self-contained JSON documents Handle evolving data schemas naturally Query and aggregate data in CouchDB using MapReduce views Replicate data between nodes Tune CouchDB for increased performance and reliability