2019
Conference article  Open Access

POLAr: Geographic placement optimization for latency sensitive applications

Monteiro De Lira V. C., Carlini E., Dazzi P.

Genetic Algorithms  Resource Management 

To assure a timely fruition of media and interactive applications to end users is a complex challenge, especially when potentially spread worldwide, at home or in mobility. It in fact requires a careful placement of the software services on the right computational resources, such that those services are placed as close as possible to end users to mitigate the effect of network on the user experience. In this demo paper, we present a tool that aims to facilitate the placement of latency sensitive applications on computational resources, by considering the geographical positioning of the user demand, the user experience, and the budget limitation of application owners.

Source: The 20th IEEE International Conference on Mobile Data Management (MDM 2019), pp. 361–362, 10-13/06/2019


Metrics



Back to previous page
BibTeX entry
@inproceedings{oai:it.cnr:prodotti:415404,
	title = {POLAr: Geographic placement optimization for latency sensitive applications},
	author = {Monteiro De Lira V.  C. and Carlini E. and Dazzi P.},
	doi = {10.1109/mdm.2019.00-31},
	booktitle = {The 20th IEEE International Conference on Mobile Data Management (MDM 2019), pp. 361–362, 10-13/06/2019},
	year = {2019}
}

BASMATI
Cloud Brokerage Across Borders for Mobile Users and Applications


OpenAIRE