Video compression in the neighborhood: An opportunistic approach

Chatzopoulos, Dimitris; Sucipto, Kathleen; Kosta, Sokol; Hui, Pan

doi:10.1109/icc.2016.7511320

Cited by 13 publications

(1 citation statement)

References 12 publications

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“…D2D communication is defined as the direct communication between two mobile devices [16], [17]. D2D communication has been used for offloading over Bluetooth [18], WiFi Direct [19], or even NFC [20]. Mobile edge computing is considered as an extension of the current cloud model, in which the servers are brought as close as possible to the access point to reduce network-induced latency and avoid congestion in the core network.…”

Section: Related Workmentioning

confidence: 99%

Multipath Computation Offloading for Mobile Augmented Reality

Braud

Zhou

Kangasharju

et al. 2020

2020 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Section: Related Workmentioning

confidence: 99%

Multipath Computation Offloading for Mobile Augmented Reality

Braud

Zhou

Kangasharju

et al. 2020

2020 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Networking and Cyber Foraging for Mobile Augmented Reality

et al. 2023

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MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments

2022

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Many novel IoT-based applications demand low latency, large compute resources and high privacy. These requirements have motivated the emergence of fog and edge computing to complement the low-privacy and high-latency cloud. The idea of Fog computing is to place computational servers closer to the user, typically within the city's vicinity, to reduce latency. However, because of the high deployment cost of these servers at scale, and unreliable network infrastructures in many countries and areas, edge computing was proposed. Edge computing advocates leveraging compute resources, typically 0-hops away, on distributed ensembles of colocated devices called FemtoClouds. In this paper, we propose Maestro, a system that enables users to offload computational jobs to multiple FemtoClouds in their immediate vicinity. For Maestro, we propose an integrated architecture that includes two new scheduling algorithms for assigning computing workloads to FemtoClouds. Each of our scheduling algorithms is designed to allow the system to operate more efficiently given poor or strong network infrastructure. We implement a full prototype of our system to assess its performance on our experimental testbed. The results indicate that in communication-challenged environments, our specialized scheduler outperforms state-of-the-art schedulers by up to 55%, while in communication-friendly environments our other specialized scheduler outperforms state-of-the-art schedulers by up to 67%.

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Video compression in the neighborhood: An opportunistic approach

Cited by 13 publications

References 12 publications

Multipath Computation Offloading for Mobile Augmented Reality

Multipath Computation Offloading for Mobile Augmented Reality

Networking and Cyber Foraging for Mobile Augmented Reality

MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments

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