Journal article Open Access
Vinicius F. Rodrigues; Thiago Y. R. da Silva; Rodrigo da R. Righi; Cristiano A. da Costa
The adoption of Internet of Things (IoT) technologies has been growing in the last few years significantly. For this reason, there is an incre- asing necessity of systems capable of processing high amount of data with a certain performance level. Some strategies adopt the use of Cloud Computing as promising solution to address this problem. In this context, this paper pro- poses MMEliot as an extension of the Eliot cloud computing elasticity model for IoT. MMEliot model combines CPU load data and response time from IoT requests to overpass the problem related to lack of reactivity. Our experiments show that MMEliot is able to anticipate allocation and release of resources from the cloud, generating better performance.