5 papers
On-Dyn-CDA: A Real-Time Cost-Driven Task Offloading Algorithm for Vehicular Networks with Reduced Latency and Task Loss
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
Real-time task processing is a critical challenge in vehicular networks, where achieving low latency and minimizing dropped task ratio depend on efficient task execution. Our prima…
Meeting Deadlines in Motion: Deep RL for Real-Time Task Offloading in Vehicular Edge Networks
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
Vehicular Mobile Edge Computing (VEC) drives the future by enabling low-latency, high-efficiency data processing at the very edge of vehicular networks. This drives innovation in k…
A Reliable and Efficient 5G Vehicular MEC: Guaranteed Task Completion with Minimal Latency
Mahsa Paknejad, Parisa Fard Moshiri, Murat Simsek +2
This paper explores the advancement of Vehicular Edge Computing (VEC) as a tailored application of Mobile Edge Computing (MEC) for the automotive industry, addressing the rising de…
Partitioned Task Offloading for Low-Latency and Reliable Task Completion in 5G MEC
Parisa Fard Moshiri, Murat Simsek, Burak Kantarci
The demand for MEC has increased with the rise of data-intensive applications and 5G networks, while conventional cloud models struggle to satisfy low-latency requirements. While t…
Joint Optimization of Completion Ratio and Latency of Offloaded Tasks with Multiple Priority Levels in 5G Edge
Parisa Fard Moshiri, Murat Simsek, Burak Kantarci
Multi-Access Edge Computing (MEC) is widely recognized as an essential enabler for applications that necessitate minimal latency. However, the dropped task ratio metric has not bee…