2 citations · 5 across the 5 of their papers we have counts for
5 papers
Timeloops: Automatic System Call Policy Learning for Containerized Microservices
Meghna Pancholi, Andreas D. Kellas, Vasileios P. Kemerlis +1
In this paper we introduce Timeloops a novel technique for automatically learning system call filtering policies for containerized microservices applications. At run-time, Timeloop…
Revisiting Residue Codes for Modern Memories
Evgeny Manzhosov, Adam Hastings, Meghna Pancholi +3
Residue codes have been traditionally used for compute error correction rather than storage error correction. In this paper, we use these codes for storage error correction with su…
An Open-Source Benchmark Suite for Cloud and IoT Microservices
Yu Gan, Yanqi Zhang, Dailun Cheng +21
Cloud services have recently started undergoing a major shift from monolithic applications, to graphs of hundreds of loosely-coupled microservices. Microservices fundamentally chan…
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
Yu Gan, Yanqi Zhang, Kelvin Hu +4
Performance unpredictability is a major roadblock towards cloud adoption, and has performance, cost, and revenue ramifications. Predictable performance is even more critical as clo…
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging
Yu Gan, Meghna Pancholi, Dailun Cheng +3
Performance unpredictability in cloud services leads to poor user experience, degraded availability, and has revenue ramifications. Detecting performance degradation a posteriori h…