Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Cassandra: a decentralized structured storage system
ACM SIGOPS Operating Systems Review
Benchmarking cloud serving systems with YCSB
Proceedings of the 1st ACM symposium on Cloud computing
An evaluation of alternative architectures for transaction processing in the cloud
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Elastic Site: Using Clouds to Elastically Extend Site Resources
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Intelligent management of virtualized resources for database systems in cloud environment
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
TIRAMOLA: elastic nosql provisioning through a cloud management platform
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Automatic scaling of selective SPARQL joins using the TIRAMOLA system
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
Solving big data challenges for enterprise application performance management
Proceedings of the VLDB Endowment
MeT: workload aware elasticity for NoSQL
Proceedings of the 8th ACM European Conference on Computer Systems
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NoSQL databases focus on analytical processing of large scale datasets, offering increased scalability over commodity hardware. One of their strongest features is elasticity, which allows for fairly portioned premiums and high-quality performance and directly applies to the philosophy of a cloud-based platform. Yet, the process of adaptive expansion and contraction of resources usually involves a lot of manual effort during cluster configuration. To date, there exists no comparative study to quantify this cost and measure the efficacy of NoSQL engines that offer this feature over a cloud provider. In this work, we present a cloud-enabled framework for adaptive monitoring of NoSQL systems. We perform a study of the elasticity feature on some of the most popular NoSQL databases over an open-source cloud platform. Based on these measurements, we finally present a prototype implementation of a decision making system that enables automatic elastic operations of any NoSQL engine based on administrator or application-specified constraints.