Elastic Composition of Crowdsourced IoT Energy Services
Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari, Neiat, Basem Suleiman

TL;DR
This paper introduces elastic composition, a new framework for reliable crowdsourced IoT energy services that adapts to fluctuating energy provisioning, using real-world experiments to validate its effectiveness.
Contribution
It presents the concept of elastic composition with soft and hard deadlines for IoT energy services, a novel approach for managing fluctuating energy supply in IoT environments.
Findings
Effective framework for fluctuating IoT energy provisioning
Utilizes soft and hard deadlines for reliability
Validated with real-world dataset experiments
Abstract
We propose a novel type of service composition, called elastic composition which provides a reliable framework in a highly fluctuating IoT energy provisioning settings. We rely on crowdsourcing IoT energy (e.g., wearables) to provide wireless energy to nearby devices. We introduce the concepts of soft deadline and hard deadline as key criteria to cater for an elastic composition framework. We conduct a set of experiments on real-world datasets to assess the efficiency of the proposed approach.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
