Distributed computing has become a common approach for large-scale computation tasks due to benefits such as high reliability, scalability, computation speed, and cost …
N Woolsey, RR Chen, M Ji - ICC 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Coded distributed computing (CDC) introduced by Li et. at. is an effective technique to trade computation load for communication load in a MapReduce framework. CDC achieves an …
M Cheng, Y Wu, X Li - arXiv preprint arXiv:2302.05826, 2023 - researchgate.net
Coded distributed computing (CDC) introduced by Li et al. can greatly reduce the communication load for MapReduce computing systems. In the general cascaded CDC with …
We consider the problem of coded distributed computing where a large linear computational job, such as a matrix multiplication, is divided into k smaller tasks, encoded using an (n, k) …
F Wu, L Chen - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
Although distributed computing is an efficient solution to large-scale computational tasks, its performance is determined by the slowest computing nodes, ie, the computation stragglers …
N Woolsey, RR Chen, M Ji - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Coded distributed computing (CDC) introduced by Li et al. in 2015 offers an efficient approach to trade computing power to reduce the communication load in general distributed …
D Kim, H Park, JK Choi - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, coding has been a useful technique to mitigate stragglers' effect in distributed computing. However, coding in this context has been mainly explored assuming …
R Zhao, J Wang, K Lu, J Wang, X Wang… - … Advanced & Trusted …, 2018 - ieeexplore.ieee.org
In recent years, edge computing has become a hot topic because it can significantly reduce the latency of network services by utilizing the computation resources at the edge of the …
In recent years, coded distributed computing (CDC) has attracted significant attention, because it can efficiently facilitate many delay-sensitive computation tasks against …