Cassandra: a structured storage system on a P2P network

By A. Lakshman, Prashant Malik. ACM Symposium on Parallelism in Algorithms and Architectures, 2009

329 citations recorded by the source corpus.

Subfields: Information Systems, Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/aa98c7819826f262ef3f48c0d7dd349dd510ebdb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Min Chen
2. Tat-seng Chua
3. Shiwen Mao
4. Yonggang Wen
5. Russell Sears
6. Raghu Ramakrishnan
7. Yunhao Liu
8. Vipin Kumar

In Information Systems and Management

1. Min Chen
2. Shiwen Mao
3. Yunhao Liu
4. Vipin Kumar
5. Gang Li
6. Daniel J. Abadi

In Management Information Systems

1. Min Chen
2. Shiwen Mao
3. Yunhao Liu
4. Gang Li
5. Daniel J. Abadi
6. Sushma Jain
7. Mandeep Kaur Saggi
8. Estela Marine-Roig

Citations in the corpus

• Big data related technologies, challenges and future prospects (2015, background): “In recent years, WSNs have received considerable interest and have been applied to many applications, such as environmental research [11, 12], water quality monitoring [13], civil engineering [14, 15], and wildlife habit monitoring [16].”
• Trends in big data analytics (2014, background): “mation (posts, messages and pictures) in Cassandra [58].”
• Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, background): “• Cassandra [148]: Cassandra, developed by Facebook and open-sourced in 2008, brings together the distributed system technologies from Dynamo and the data model from Bigtable.”
• Benchmarking cloud serving systems with YCSB (2010, background): “There has been an explosion of new systems for data storage and management “in the cloud.” Open source systems include Cassandra [2, 24 ], HBase [4], Voldemort [9] and oth-”
• Big Data: A Survey (2014, background): “– Cassandra: Cassandra is a distributed storage system to manage the huge amount of structured data distributed among multiple commercial servers [89].”
• A Survey of Large Scale Data Management Approaches in Cloud Environments (2011, unknown): “consistent, distributed, structured key-value store [42].”
• Calvin: fast distributed transactions for partitioned database systems (2012, background): “Some systems, such as Amazon’s Dynamo [13], MongoDB [24], CouchDB [6], and Cassandra [17] provide no transactional support whatsoever.”
• Consistency Tradeoffs in Modern Distributed Database System Design: CAP is Only Part of the Story (2012, methodology): “PNUTS uses option (2)(b)(ii), achieving excellent latency at reduced consistency.”
• A comparison of a graph database and a relational database: a data provenance perspective (2010, background): “Facebook developed Cassandra, an open-source, distributed key-value data store, which, like BigTable, is a row-based/columnbased hybrid system [6].”
• Survey on NoSQL database (2011, background): “Cassandra [5] is an opensource database facebook Its characteristics are: 1) the schema is very and does not require to design database schema at first and add or delete field is very convenient 2) range queries, that is it can range queries for Key; 3 high scalability: a single point of failure…”