Meghna Pancholi

According to our database, Meghna Pancholi authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Revisiting Residue Codes for Modern Memories.

Evgeny Manzhosov, Adam Hastings, Meghna Pancholi, Ryan Piersma, Mohamed Tarek Ibn Ziad, Simha Sethumadhavan

IEEE Micro, 2023

2022

Timeloops: System Call Policy Learning for Containerized Microservices.

Meghna Pancholi, Andreas D. Kellas, Vasileios P. Kemerlis, Simha Sethumadhavan

CoRR, 2022

2021

MUSE: Multi-Use Error Correcting Codes.

Evgeny Manzhosov, Adam Hastings, Meghna Pancholi, Ryan Piersma, Mohamed Tarek Ibn Ziad, Simha Sethumadhavan

CoRR, 2021

2020

Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems.

Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou

IEEE Micro, 2020

2019

Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer.

Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou

ACM SIGOPS Oper. Syst. Rev., 2019

An Open-Source Benchmark Suite for Cloud and IoT Microservices.

Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou

CoRR, 2019

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices.

Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou

CoRR, 2019

Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices.

Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems.

Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging.

Yu Gan, Meghna Pancholi, Siyuan Hu, Dailun Cheng, Yuan He, Christina Delimitrou

Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018