Loading...
Please wait, while we are loading the content...
Similar Documents
Transactional Auto Scaler : Elastic scaling of NoSQL transactional data grids
| Content Provider | Semantic Scholar |
|---|---|
| Author | Didona, Diego Romano, Paolo Peluso, Sebastiano Quaglia, Francesco |
| Copyright Year | 2011 |
| Abstract | In this paper we introduce TAS (Transactional Auto Scaler), a system that relies on a novel hybrid analytical/machine-learning-based forecasting methodology in order to accurately predict the performance achievable by transactional applications executing on top of transactional in-memory data stores, in face of changes of the scale of the system. Applications of TAS range from on-line selfoptimization of in-production applications, to the automatic generation of QoS/cost driven elastic scaling policies, and support for what-if analysis on the scalability of transactional applications. We demonstrate the accuracy and feasibility of TAS via an extensive experimental study based on a fully fledged prototypal implementation integrated with one of the most popular open-source transactional data grids (JBoss Infinispan c ©) and industry-standard benchmarks generating a breadth of heterogeneous workloads. Keywords-Transactional data grids; Elastic Scaling; Analytical Performance model; Machine learning. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.inesc-id.pt/ficheiros/publicacoes/7591.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
