activity
20132025
most citedFIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices

76 citations · 211 across the 22 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.DC2019★ 2 cited

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters

Subho S Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk +1

The problem of scheduling of workloads onto heterogeneous processors (e.g., CPUs, GPUs, FPGAs) is of fundamental importance in modern data centers. Current system schedulers rely o…

cs.DC2019★ 1 cited

Live Forensics for Distributed Storage Systems

Saurabh Jha, Shengkun Cui, Tianyin Xu +6

We present Kaleidoscope an innovative system that supports live forensics for application performance problems caused by either individual component failures or resource contention…

cs.DC2019

A Study of Network Congestion in Two Supercomputing High-Speed Interconnects

Saurabh Jha, Archit Patke, Jim Brandt +6

Network congestion in high-speed interconnects is a major source of application run time performance variation. Recent years have witnessed a surge of interest from both academia a…

cs.LG2019

ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection

Saurabh Jha, Subho S. Banerjee, Timothy Tsai +5

The safety and resilience of fully autonomous vehicles (AVs) are of significant concern, as exemplified by several headline-making accidents. While AV development today involves ve…

eess.SP2019★ 69 cited

AVFI: Fault Injection for Autonomous Vehicles

Saurabh Jha, Subho S. Banerjee, James Cyriac +2

Autonomous vehicle (AV) technology is rapidly becoming a reality on U.S. roads, offering the promise of improvements in traffic management, safety, and the comfort and efficiency o…

cs.SE2019★ 32 cited

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors

Saurabh Jha, Timothy Tsai, Siva Hari +4

Fully autonomous vehicles (AVs), i.e., AVs with autonomy level 5, are expected to dominate road transportation in the near-future and contribute trillions of dollars to the global…

cs.DC2019★ 5 cited

Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo

Valerio Formicola, Saurabh Jha, Daniel Chen +13

We present a set of fault injection experiments performed on the ACES (LANL/SNL) Cray XE supercomputer Cielo. We use this experimental campaign to improve the understanding of fail…