M
Mahshid Mehrabi
Researcher at Dresden University of Technology
Publications - 10
Citations - 234
Mahshid Mehrabi is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Edge computing & Computer science. The author has an hindex of 4, co-authored 8 publications receiving 112 citations. Previous affiliations of Mahshid Mehrabi include Amirkabir University of Technology.
Papers
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Journal ArticleDOI
Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
TL;DR: This article comprehensively surveys the topic area of device-enhanced MEC mechanisms, i.e., mechanisms that jointly utilize the resources of the community of end devices and the installed MEC to provide services to end devices.
Journal ArticleDOI
An improved DV-Hop localization algorithm based on evolutionary algorithms
TL;DR: Simulation results prove that the proposed method decreases the localization error efficiently without additional hardware.
Journal ArticleDOI
Fog Computing as an Enabler for Immersive Media: Service Scenarios and Research Opportunities
Dongho You,Tung V. Doan,Roberto Torre,Mahshid Mehrabi,Alexander Kropp,Vu Nguyen,Hani Salah,Giang T. Nguyen,Frank H. P. Fitzek +8 more
TL;DR: This paper proposes various service scenarios reflecting the characteristics of immersive media and identifies the technologies that are required to support the proposed service scenarios under F-RAN and discusses how they can be supported efficiently.
Journal ArticleDOI
Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks
Mahshid Mehrabi,Shiwei Shen,Yilun Hai,Vincent Latzko,George Koudouridis,Xavier Gelabert,Martin Reisslein,Frank H. P. Fitzek +7 more
TL;DR: The numerical evaluations indicate that the EETO approach consistently reduces the battery energy consumption across a wide range of task complexities and task completion deadlines and can thus extend the battery lifetimes of mobile devices operating with sliced edge computing resources.
Proceedings ArticleDOI
Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks
TL;DR: In this paper, a basic three-node MEC system consisting of a user node with sequentially-dependent tasks, a helper/relay node, and a MEC server located at the base station is considered.