Distributed Stochastic Gradient Descent (SGD) when run in a synchronous manner, suffers
from delays in runtime as it waits for the slowest workers (stragglers). Asynchronous …

The performance of large-scale distributed compute systems is adversely impacted by
stragglers when the execution time of a job is uncertain. To manage stragglers, we consider …

In this article, we put forward the substantial challenges in cyber resilience in the domain of
autonomous systems and outline foundational solutions to address these challenges. These …

Coding theoretic techniques have been proposed for synchronous Gradient Descent (GD)
on multiple servers to mitigate stragglers. These techniques provide the flexibility that the job …

Given the unpredictable nature of the nodes in distributed computing systems, some of the
tasks can be significantly delayed. Such delayed tasks are called stragglers. Straggler …

We consider a distributed storage system storing a single file, where the file is divided into
equal sized fragments. The fragments are replicated with a common replication factor, and …

As consumers are increasingly engaged in social networking and E-commerce activities,
businesses grow to rely on Big Data analytics for intelligence, and traditional IT …

As video-streaming services have expanded and improved, cloud-based video has evolved
into a necessary feature of any successful business for reaching internal and external …

We consider the setting of a distributed storage system where a single file is subdivided into
smaller fragments of same size which are then replicated with a common replication factor …

This paper plans to implement intelligent techniques in finding straggler tasks along with
speculating their way of execution. Here, the LFCSO-LVQ is proposed to effectively identify …