SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Cost minimization for computational applications on hybrid cloud infrastructures

We address the problem of task planning on multiple clouds formulated as a mixed integer nonlinear programming problem (MINLP). Its specification with AMPL modeling language allows us to apply solvers such as Bonmin and Cbc. Our model assumes multiple heterogeneous compute and storage cloud providers, such as Amazon, Rackspace, GoGrid, ElasticHosts and a private cloud, parameterized by costs an...

Orchestrating your cloud orchestra

Cloud computing potentially ushers in a new era of computer music performance with exceptionally large computer music instruments consisting of 10s to 100s of virtual machines which we propose to call a ‘cloud-orchestra’. Cloud computing allows for the rapid provisioning of resources, but to deploy such a complicated and interconnected network of software synthesizers in the cloud requires a lo...

Integrated Monitoring of Infrastructures and Applications in Cloud Environments

One approach to fully exploit the potential of Cloud technologies consists in leveraging on the Autonomic Computing paradigm. It could be exploited in order to put in place reconfiguration strategies spanning the whole protocol stack, starting from the infrastructure and then going up to platform/application level protocols. On the other hand, the very base for the design and development of Clo...

Virtual Resource Management for Data Intensive Applications in Cloud Infrastructures

Cloud computing describes the model of a scalable resource provisioning technology that redirects the possibility of hardware and software leasing to the Internet, through the use of an equitable pay-per-use strategy. In this paper we present a new provisioning mechanism in Clouds used for large-scale data-intensive computing. Our project addresses the key requirements in managing resources at ...

e-Science-towards the cloud: infrastructures, applications and research.