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most citedReal-Time Service Subscription and Adaptive Offloading Control in Vehicular Edge Computing

1 citations · 1 across the 13 of their papers we have counts for

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cs.DC20251 cited

Real-Time Service Subscription and Adaptive Offloading Control in Vehicular Edge Computing

Chuanchao Gao, Arvind Easwaran

Vehicular Edge Computing (VEC) has emerged as a promising paradigm for enhancing the computational efficiency and service quality in intelligent transportation systems by enabling…

cs.DC2025

Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing

Chuanchao Gao, Arvind Easwaran

This paper addresses the deadline-constrained task offloading and resource allocation problem in multi-access edge computing. We aim to determine where each task is offloaded and p…

cs.DC2025

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing

Chuanchao Gao, Niraj Kumar, Arvind Easwaran

Mobile-edge computing (MEC) has emerged as a promising paradigm for enabling Internet of Things (IoT) devices to handle computation-intensive jobs. Due to the imperfect paralleliza…

cs.DC2025

Local Ratio based Real-time Job Offloading and Resource Allocation in Mobile Edge Computing

Chuanchao Gao, Arvind Easwaran

Mobile Edge Computing (MEC) has emerged as a promising paradigm enabling vehicles to handle computation-intensive and time-sensitive applications for intelligent transportation. Du…

cs.DC2024

Cluster-based Network Time Synchronization for Resilience with Energy Efficiency

Nitin Shivaraman, Patrick Schuster, Saravanan Ramanathan +2

Time synchronization of devices in Internet-of-Things (IoT) networks is one of the challenging problems and a pre-requisite for the design of low-latency applications. Although man…

cs.DC2024

Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems

Niraj Kumar, Chuanchao Gao, Arvind Easwaran

This work studies fixed priority (FP) scheduling of real-time jobs with end-to-end deadlines in a distributed system. Specifically, given a multi-stage pipeline with multiple heter…