2025 · ACM/SPEC International Conference on Performance Engineering (ICPE)
Ghazal Khodabandeh, Alireza Ezaz, Majid Babaei, Naser Ezzati-Jivan
The paper applies graph attention networks to predict future interactions in microservice call graphs, supporting proactive monitoring.
Keywords: microservice call graphs · link prediction · graph attention networks · temporal segmentation · negative sampling
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2024 · 2024 IEEE International Conference on Big Data (BigData)
Tong Zhang, Sarwat Islam Dipanzan, Leila Tahmooresnejad, Naser Ezzati-Jivan
The paper evaluates whether software-energy predictors transfer across applications when they use hardware-performance and operating-system event representations rather than application-specific measurements alone.
Keywords: software energy consumption · predictive models · energy efficiency · software environments · IEEE Big Data 2024
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2024 · 2024 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON)
Pranjal Chakraborty, Majid Babaei, Leila Tahmooresnejad, Naser Ezzati-Jivan
MemAdapt forecasts memory behavior under irregular sampling and uses the forecast to choose an adaptive monitoring rate that balances estimation quality with collection overhead.
Keywords: memory monitoring · irregular sampling · adaptive monitoring · time series · memory usage
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2023 · IEEE International Conference on Big Data
Pranjal Chakraborty, Naser Ezzati-Jivan, Vahid Azhari, François Tetreault
AltOOM combines early memory-pressure forecasting with selective process-level profiling to identify the process most responsible for an impending out-of-memory event.
Keywords: out-of-memory · OOM diagnosis · data-driven RCA · resource analysis · memory pressure forecasting
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