Multiple mobile robot task and motion planning: A survey

L Antonyshyn, J Silveira, S Givigi, J Marshall - ACM Computing Surveys, 2023 - dl.acm.org
With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

A review of machine scheduling: Complexity, algorithms and approximability

B Chen, CN Potts, GJ Woeginger - Handbook of Combinatorial …, 1998 - Springer
The scheduling of computer and manufacturing systems has been the subject of extensive
research for over forty years. In addition to computers and manufacturing, scheduling theory …

Edge-assisted multi-layer offloading optimization of LEO satellite-terrestrial integrated networks

X Cao, B Yang, Y Shen, C Yuen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Sixth-Generation (6G) technologies will revolutionize the wireless ecosystem by enabling
the delivery of futuristic services through satellite-terrestrial integrated networks (STINs). As …

Joint load balancing and offloading in vehicular edge computing and networks

Y Dai, D Xu, S Maharjan… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …

Service placement and request scheduling for data-intensive applications in edge clouds

V Farhadi, F Mehmeti, T He, TF La Porta… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
Mobile edge computing provides the opportunity for wireless users to exploit the power of
cloud computing without a large communication delay. To serve data-intensive applications …

Joint computation offloading and user association in multi-task mobile edge computing

Y Dai, D Xu, S Maharjan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computation intensive and delay-sensitive applications impose severe requirements on
mobile devices of providing required computation capacity and ensuring latency. Mobile …

Fair algorithms for clustering

S Bera, D Chakrabarty, N Flores… - Advances in Neural …, 2019 - proceedings.neurips.cc
We study the problem of finding low-cost {\em fair clusterings} in data where each data point
may belong to many protected groups. Our work significantly generalizes the seminal work …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

Online scheduling via learned weights

S Lattanzi, T Lavastida, B Moseley… - Proceedings of the …, 2020 - SIAM
Online algorithms are a hallmark of worst case optimization under uncertainty. On the other
hand, in practice, the input is often far from worst case, and has some predictable …

D2D fogging: An energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration

L Pu, X Chen, J Xu, X Fu - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
In this paper, we propose device-to-device (D2D) Fogging, a novel mobile task offloading
framework based on network-assisted D2D collaboration, where mobile users can …