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Yasaman Amannejad
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2020 – today
- 2024
- [c15]Niloofar Sharifisadr, Diwakar Krishnamurthy, Yasaman Amannejad:
A Comparative Analysis of Generative Adversarial Networks for Generating Cloud Workloads. CLOUD 2024: 279-290 - [c14]Quinn Cooper, Diwakar Krishnamurthy, Yasaman Amannejad:
Budget Aware Performance Test Selection for Microservices. CLOUD 2024: 376-385 - 2023
- [c13]Byron Stuike, Yasaman Amannejad:
Pairwise Application Log Classification. BigComp 2023: 349-350 - [c12]Sarah Shah, Yasaman Amannejad, Diwakar Krishnamurthy:
Predicting the Performance of DNNs to Support Efficient Resource Allocation. CNSM 2023: 1-7 - [c11]Matthieu Bardal, Kaleb Chisholm, Sean Jamieson, Mark Alwast, Kasi Viswanath Nilla, Khanh Le, Yasaman Amannejad:
Automated Identification of Microaggressions. IHTC 2023: 1-6 - 2021
- [j5]Sarah Shah
, Yasaman Amannejad, Diwakar Krishnamurthy
Diaspore: Diagnosing Performance Interference in Apache Spark. IEEE Access 9: 103230-103243 (2021) - [j4]Sarah Shah
PERIDOT: Modeling Execution Time of Spark Applications. IEEE Open J. Comput. Soc. 2: 346-359 (2021) - [c10]Jordan Suzuki, Saba F. Lameh, Yasaman Amannejad:
Using Transfer Learning in Building Federated Learning Models on Edge Devices. IDSTA 2021: 105-113 - 2020
- [c9]Yasaman Amannejad:
Building and Evaluating Federated Models for Edge Computing. CNSM 2020: 1-5 - [c8]Saba F. Lameh, Wade Noble, Yasaman Amannejad, Arash Afshar:
Analysis of Federated Learning as a Distributed Solution for Learning on Edge Devices. IDSTA 2020: 66-74
2010 – 2019
- 2019
- [j3]Yasaman Amannejad
Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles. IEEE Access 7: 127904-127919 (2019) - [c7]Yasaman Amannejad, Sarah Shah, Diwakar Krishnamurthy, Mea Wang:
Fast and Lightweight Execution Time Predictions for Spark Applications. CLOUD 2019: 493-495 - [c6]Sarah Shah, Yasaman Amannejad, Diwakar Krishnamurthy, Mea Wang:
Quick Execution Time Predictions for Spark Applications. CNSM 2019: 1-9 - 2016
- [c5]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz Homayoun Far:
Predicting Web service response time percentiles. CNSM 2016: 73-81 - 2015
- [j2]Vahid Garousi-Yusifoglu
Software test-code engineering: A systematic mapping. Inf. Softw. Technol. 58: 123-147 (2015) - [j1]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz Homayoun Far:
Managing Performance Interference in Cloud-Based Web Services. IEEE Trans. Netw. Serv. Manag. 12(3): 320-333 (2015) - [c4]Yasaman Amannejad, Diwakar Krishnamurthy, Behrouz Homayoun Far:
Detecting performance interference in cloud-based web services. IM 2015: 423-431 - 2014
- [c3]Yasaman Amannejad, Vahid Garousi
A Search-Based Approach for Cost-Effective Software Test Automation Decision Support and an Industrial Case Study. ICST Workshops 2014: 302-311 - [c2]Yasaman Amannejad, Mohammad Moshirpour, Behrouz Homayoun Far, Reda Alhajj:
From requirements to software design: An automated solution for packaging software classes. IRI 2014: 36-43 - [c1]Zahra Sahaf, Vahid Garousi
When to automate software testing? decision support based on system dynamics: an industrial case study. ICSSP 2014: 149-158
Coauthor Index
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