Tag: saaedeh

Congratulations to Saeedeh Baneshi for having her paper, “Empowering Sustainability: Energy Labeling of Digital Services Using Simulation” accepted at the 25th IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGRID).

This work addresses the challenge of creating awareness about the energy consumption of digital services distributed across the compute continuum in an understandable and actionable way. The paper proposes the first operational energy labeling method for digital services in this context. This approach enables stakeholders—including cloud and network providers, application developers, researchers, and end-users of digital services—to better understand and improve the energy efficiency of their applications. Focusing on a video surveillance application and utilizing the enhanced iFogSim framework, the paper proposes an energy labeling scheme and demonstrates its merits through extensive scenario analysis and simulation. It also discusses how this approach can help reduce energy consumption and/or improve performance, without modifying the application’s functional parameters or system architecture.

Congratulations on the acceptance of your paper, Saeedeh. Enjoy the conference in Tromsø, Norway!

I am happy to please that the paper “Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim” was accepted at the International Workshop on Converged Computing (WOCC). The paper is first-authored by Saaedeh Baneshi and is the first publication to come out of the project Energy Labels for Digital Services. Congratulations Saaedeh!

The paper explains how digital services – applications that often span the entire computing continuum – have become an essential part of our daily lives, but they can have a significant energy cost, raising sustainability concerns. Measuring the energy consumption of such applications is challenging due to the distributed nature of the system and the application. As such, simulation techniques are promising solutions to estimate energy consumption, and several simulators are available for modeling the cloud and fog computing environment. The paper investigates iFogSim’s effectiveness in analyzing the end-to-end energy consumption of applications in the computing continuum through two case studies. We design different scenarios for each case study to map application modules to devices along the continuum, including the Edge-Cloud collaboration architecture, and compare them with the two placement policies native to iFogSim: Cloud-only and Edge-ward policies. We observe iFogSim’s limitations in reporting energy consumption, and improve its ability to report energy consumption from an application’s perspective; this enables additional insight into an application’s energy consumption, thus enhancing the usability of iFogSim in evaluating the end-to-end energy consumption of digital services.