activity
20142026
most citedDeveloping Self-Adaptive Microservice Systems: Challenges and Directions

61 citations · 319 across the 56 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.DC2023

HEET: A Heterogeneity Measure to Quantify the Difference across Distributed Computing Systems

Ali Mokhtari, Saeid Ghafouri, Pooyan Jamshidi +1

Although system heterogeneity has been extensively studied in the past, there is yet to be a study on measuring the impact of heterogeneity on system performance. For this purpose,…

cs.SE2023★ 6 cited

Introducing Interactions in Multi-Objective Optimization of Software Architectures

Vittorio Cortellessa, J. Andres Diaz-Pace, Daniele Di Pompeo +4

Software architecture optimization aims to enhance non-functional attributes like performance and reliability while meeting functional requirements. Multi-objective optimization em…

cs.CV2023

Independent Modular Networks

Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi

Monolithic neural networks that make use of a single set of weights to learn useful representations for downstream tasks explicitly dismiss the compositional nature of data generat…

cs.PF2023

CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems

Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad +2

Modern computer systems are highly configurable, with hundreds of configuration options that interact, resulting in an enormous configuration space. As a result, optimizing perform…

cs.LG2023★ 25 cited

Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems

Mehran Salmani, Saeid Ghafouri, Alireza Sanaee +5

The use of machine learning (ML) inference for various applications is growing drastically. ML inference services engage with users directly, requiring fast and accurate responses.…

cs.LG2023

Rethinking Robust Contrastive Learning from the Adversarial Perspective

Fatemeh Ghofrani, Mehdi Yaghouti, Pooyan Jamshidi

To advance the understanding of robust deep learning, we delve into the effects of adversarial training on self-supervised and supervised contrastive learning alongside supervised…

cs.RO2023★ 14 cited

CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots

Md Abir Hossen, Sonam Kharade, Bradley Schmerl +6

Robotic systems have subsystems with a combinatorially large configuration space and hundreds or thousands of possible software and hardware configuration options interacting non-t…