Green Application Placement in the Cloud-IoT ContinuumRemote
Green software engineering aims at reducing the environmental impact due to developing, deploying, and managing software systems. Meanwhile, Cloud-IoT paradigms can contribute to improving energy and carbon efficiency of application deployments by (i) reducing the amount of data and the distance they must travel across the network, (ii) by exploiting idle edge devices to support application deployment. In this article, we propose a declarative methodology and its Prolog prototype for determining placements of application services onto Cloud-IoT infrastructures so to optimise energy and carbon efficiency, also considering different infrastructure power sources and operational costs. The proposal is assessed over a motivating example.
Tue 18 JanDisplayed time zone: Eastern Time (US & Canada) change
10:20 - 12:00 | Declarative SolutionsPADL at Directors Chair(s): Francesco Calimeri University of Calabria Remote session chair | ||
10:20 25mTalk | Green Application Placement in the Cloud-IoT ContinuumRemote PADL | ||
10:45 25mTalk | Decomposition-based job-shop scheduling with constrained clusteringRemote PADL Mohammed M. S. El-Kholany University of Klagenfurt, Martin Gebser University of Klagenfurt, Austria, Konstantin Schekotihin Alpen-Adria Universit�t Klagenfurt | ||
11:10 25mTalk | Modeling and Verification of Real-Time Systems with the Event Calculus and s(CASP)Remote PADL Sarat Chandra Varanasi The University of Texas at Dallas, Joaquín Arias Universidad Rey Juan Carlos, Elmer Salazar The University of Texas at Dallas, Fang Li The University of Texas at Dallas, Kinjal Basu The University of Texas at Dallas, Gopal Gupta The University of Texas at Dallas | ||
11:35 25mTalk | Parallel Declarative Solutions of Sequencing Problems using Multi-valued Decision Diagrams and GPUsRemote PADL | ||