Asynchronous view maintenance for VLSD databases
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The case for PIQL: a performance insightful query language
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A scalable architecture for real-time online data access
ICDCIT'11 Proceedings of the 7th international conference on Distributed computing and internet technology
An efficient multi-tier tablet server storage architecture
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FAST: Friends Augmented Search Techniques - System Design & Data-Management Issues
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Scalable queries for large datasets using cloud computing: a case study
Proceedings of the 15th Symposium on International Database Engineering & Applications
Cache-conscious data placement in an in-memory key-value store
Proceedings of the 15th Symposium on International Database Engineering & Applications
PIQL: success-tolerant query processing in the cloud
Proceedings of the VLDB Endowment
CernVM-FS: delivering scientific software to globally distributed computing resources
Proceedings of the first international workshop on Network-aware data management
Calvin: fast distributed transactions for partitioned database systems
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Snooze: A Scalable and Autonomic Virtual Machine Management Framework for Private Clouds
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
AIMS'12 Proceedings of the 6th IFIP WG 6.6 international autonomous infrastructure, management, and security conference on Dependable Networks and Services
Optimizing overlay-based virtual networking through optimistic interrupts and cut-through forwarding
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
The Yahoo!: cloud datastore load balancer
Proceedings of the fourth international workshop on Cloud data management
Finding the silver lining for data freshness on the cloud: [extended abstract]
Proceedings of the fourth international workshop on Cloud data management
Quality-of-service for consistency of data geo-replication in cloud computing
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Automated and transparent model fragmentation for persisting large models
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
SWORD: scalable workload-aware data placement for transactional workloads
Proceedings of the 16th International Conference on Extending Database Technology
Scheduling with freshness and performance guarantees for web applications in the cloud
ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115
Position paper: cloud system deployment and performance evaluation tools for distributed databases
Proceedings of the 2013 international workshop on Hot topics in cloud services
On brewing fresh espresso: LinkedIn's distributed data serving platform
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Performance evaluation of a MongoDB and hadoop platform for scientific data analysis
Proceedings of the 4th ACM workshop on Scientific cloud computing
Reference representation techniques for large models
Proceedings of the Workshop on Scalability in Model Driven Engineering
Assessing data availability of Cassandra in the presence of non-accurate membership
Proceedings of the 2nd International Workshop on Dependability Issues in Cloud Computing
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Cassandra is a distributed storage system for managing structured data that is designed to scale to a very large size across many commodity servers, with no single point of failure. Reliability at massive scale is a very big challenge. Outages in the service can have significant negative impact. Hence Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different datacenters). At this scale, small and large components fail continuously; the way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems relying on this service. Cassandra has achieved several goals--scalability, high performance, high availability and applicability. In many ways Cassandra resembles a database and shares many design and implementation strategies with databases. Cassandra does not support a full relational data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format.