In distributed computing systems slow working nodes, known as stragglers, can greatly
extend finishing times. Coded computing is a technique that enables straggler-resistant …

The advent of the information age has bestowed upon us three challenges related to the
way we deal with data. Firstly, there is an unprecedented demand for transmitting data at …

In large-scale distributed computing clusters, such as Amazon EC2, there are several types
of “system noise” that can result in major degradation of performance: system failures …

Coded computation techniques provide robustness against straggling workers in distributed
computing. However, most of the existing schemes require exact provisioning of the …

Coding for distributed computing supports low-latency computation by relieving the burden
of straggling workers. While most existing works assume a simple master-worker model, we …

Coded computing was recently introduced to mitigate the effect of stragglers on distributed
computing systems. This paper combines ideas of approximate and coded computing to …

Distributed computation is a framework used to break down a complex computational task
into smaller tasks and distributing them among computational nodes. Erasure correction …

Modern computationally-heavy applications are often time-sensitive, demanding distributed
strategies to accelerate them. On the other hand, distributed computing suffers from the …

Distributed computing has become a common approach for large-scale computation of tasks
due to benefits such as high reliability, scalability, computation speed, and costeffectiveness …

Distributed computing has become a common approach for large-scale computation of tasks
due to benefits such as high reliability, scalability, computation speed, and costeffectiveness …