Name
Abstract | ||
|---|---|---|
In an ever-changing landscape of software technology, new development paradigms, novel infrastructure technologies and emerging application domains reveal exciting opportunities, but also unprecedented challenges for developers, practitioners and software engineers. Amongst this innovation, containers as infrastructure support, data-intensive application as a domain and DevOps as a development paradigm have gained significant popularity recently. In this work, we focus on these concepts and present an exploratory study on how to develop such applications, deploy and deliver them in Docker containers and eventually manage them by enabling autoscaling on the container level. In the paper, we detail our experimental process pointing out the problems we encountered along with the solutions we used. Eventually, we present a set of stable experiments to demonstrate the autoscaling capabilities we achieved. |
Year | Venue | Field |
|---|---|---|
2016 | CASCON | Software engineering,Adaptive system,Computer science,Popularity,Software,DevOps,Autoscaling,Exploratory research,Big data,Cloud computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marios Fokaefs | 1 | 231 | 18.28 |
| Cornel Barna | 2 | 195 | 14.28 |
| Rodrigo Veleda | 3 | 0 | 0.34 |
| Marin Litoiu | 4 | 2147 | 128.80 |
| Joe Wigglesworth | 5 | 5 | 3.12 |
| Radu Mateescu | 6 | 1287 | 77.10 |