most citedFunction Delivery Network: Extending Serverless Computing for Heterogeneous Platforms

41 citations · 47 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DC20223 cited

Migrating from Microservices to Serverless: An IoT Platform Case Study

Mohak Chadha, Victor Pacyna, Anshul Jindal +2

Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled.…

cs.DC20222 cited

Scalable Infrastructure for Workload Characterization of Cluster Traces

Thomas van Loo, Anshul Jindal, Shajulin Benedict +2

In the recent past, characterizing workloads has been attempted to gain a foothold in the emerging serverless cloud market, especially in the large production cloud clusters of Goo…

cs.DC2022

Estimating the Capacities of Function-as-a-Service Functions

Anshul Jindal, Mohak Chadha, Shajulin Benedict +1

Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks. Server…

cs.DC20211 cited

Towards Demystifying Intra-Function Parallelism in Serverless Computing

Michael Kiener, Mohak Chadha, Michael Gerndt

Serverless computing offers a pay-per-use model with high elasticity and automatic scaling for a wide range of applications. Since cloud providers abstract most of the underlying i…

cs.CR2021

FedLess: Secure and Scalable Federated Learning Using Serverless Computing

Andreas Grafberger, Mohak Chadha, Anshul Jindal +2

The traditional cloud-centric approach for Deep Learning (DL) requires training data to be collected and processed at a central server which is often challenging in privacy-sensiti…

cs.AI2021

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Stephan Patrick Baller, Anshul Jindal, Mohak Chadha +1

EdgeAI (Edge computing based Artificial Intelligence) has been most actively researched for the last few years to handle variety of massively distributed AI applications to meet up…