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Evgenia Smirni

Evgenia Smirni

D-Index & Metrics

Computer Science

D-Index
44
Citations
5864
World Ranking
7708
National Ranking
3327

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to modeling and performance forecasting of complex systems
  • 2013 - ACM Distinguished Member

Overview

Evgenia Smirni is affiliated with William & Mary in the United States and is active in research primarily within the field of computer science. Their work encompasses several subfields, including computer networks and communications, information systems, artificial intelligence, electrical and electronic engineering, and hardware and architecture.

The scientist's main research topics focus on cloud computing and resource management, radiation effects in electronics, parallel computing and optimization techniques, distributed systems and fault tolerance, advanced data storage technologies, data stream mining techniques, and COVID-19 epidemiological studies.

Recent notable papers by Evgenia Smirni include:

  • Optimizing inference serving on serverless platforms, 2022, Proceedings of the VLDB Endowment
  • Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults, 2020, IEEE Transactions on Computers
  • CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics, 2020, IEEE Transactions on Network and Service Management
  • Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction Models, 2021, IEEE Transactions on Dependable and Secure Computing
  • SUGAR, 2021, Proceedings of the ACM on Measurement and Analysis of Computing Systems

Frequent coauthors in their work include Lishan Yang, Riccardo Pinciroli, Anna Schmedding, Bin Nie, and Adwait Jog.

Evgenia Smirni's publications often appear in venues such as arXiv (Cornell University), ACM SIGMETRICS Performance Evaluation Review, Proceedings of the VLDB Endowment, IEEE Transactions on Computers, and IEEE Transactions on Network and Service Management.

The scientist has received recognition in the form of awards, including being named an IEEE Fellow in 2020 for contributions to modeling and performance forecasting of complex systems. They were also recognized as an ACM Distinguished Member in 2013.

Best Publications

  • A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications

    Qi Zhang;L. Cherkasova;E. Smirni

  • Workload-aware load balancing for clustered Web servers

    Qi Zhang;A. Riska;W. Sun;E. Smirni

  • Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change

    L. Cherkasova;K. Ozonat;Ningfang Mi;J. Symons

  • Multiple-Queue Backfilling Scheduling with Priorities and Reservations for Parallel Systems

    Barry G. Lawson;Evgenia Smirni

  • BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching

    Ahsan Ali;Riccardo Pinciroli;Feng Yan;Evgenia Smirni

  • Burstiness in multi-tier applications: symptoms, causes, and new models

    Ningfang Mi;Giuliano Casale;Ludmila Cherkasova;Evgenia Smirni

  • EQUILOAD: a load balancing policy for clustered web servers

    Gianfranco Ciardo;Alma Riska;Evgenia Smirni

  • Workload Characterization of Input/Output Intensive Parallel Applications

    Evgenia Smirni;Daniel A. Reed

  • Robust partitioning policies of multiprocessor systems

    E. Rosti;E. Smirni;L. W. Dowdy;G. Serazzi

  • Automated anomaly detection and performance modeling of enterprise applications

    Ludmila Cherkasova;Kivanc Ozonat;Ningfang Mi;Julie Symons

  • I/O requirements of scientific applications: an evolutionary view

    E. Smirni;R.A. Aydt;A.A. Chien;D.A. Reed

  • Injecting realistic burstiness to a traditional client-server benchmark

    Ningfang Mi;Giuliano Casale;Ludmila Cherkasova;Evgenia Smirni

  • A large-scale study of soft-errors on GPUs in the field

    Bin Nie;Devesh Tiwari;Saurabh Gupta;Evgenia Smirni

  • Trace data characterization and fitting for Markov modeling

    Giuliano Casale;Eddy Z. Zhang;Evgenia Smirni

  • Lessons from characterizating the input/output behavior of parallel scientific applications

    E. Smirni;D. A. Reed

  • An EM-based technique for approximating long-tailed data sets with PH distributions

    Alma Riska;Vesselin Diev;Evgenia Smirni

  • The impact of I/O on program behavior and parallel scheduling

    Emilia Rosti;Giuseppe Serazzi;Evgenia Smirni;Mark S. Squillante

  • Performance impacts of autocorrelated flows in multi-tiered systems

    Ningfang Mi;Qi Zhang;Alma Riska;Evgenia Smirni

  • KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes

    G. Casale;E.Z. Zhang;E. Smirni

  • A regression-based analytic model for capacity planning of multi-tier applications

    Qi Zhang;Ludmila Cherkasova;Ningfang Mi;Evgenia Smirni

  • ADAPTLOAD: effective balancing in clustered web servers under transient load conditions

    A. Riska;Wei Sun;E. Smirni;G. Ciardo

Frequent Co-Authors

Giuliano Casale
Giuliano Casale Imperial College London
Gianfranco Ciardo
Gianfranco Ciardo Iowa State University
Walter Binder
Walter Binder Universita della Svizzera Italiana
Daniel A. Reed
Daniel A. Reed University of Utah
Yuxiong He
Yuxiong He Microsoft (United States)
Andrew A. Chien
Andrew A. Chien University of Chicago
Mark S. Squillante
Mark S. Squillante IBM (United States)
Guofei Jiang
Guofei Jiang Princeton University
Kenneth C. Sevcik
Kenneth C. Sevcik University of Toronto

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