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- articleFebruary 2024
A Foundation for Real-time Applications onFunction-as-a-Service
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 4March 2024, Pages 54–65https://doi.org/10.1145/3649477.3649497Serverless (or Function-as-a-Service) compute model enables new applications with dynamic scaling. However, all current Serverless systems are best-effort, and as we prove this means they cannot guarantee hard real-time deadlines, rendering them ...
- articleFebruary 2024
POBO: Safe and Optimal Resource Management for Cloud Microservices
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 4March 2024, Pages 20–21https://doi.org/10.1145/3649477.3649489Resource management in microservices is challenging due to the uncertain latency-resource relationship, dynamic environment, and strict Service-Level Agreement (SLA) guarantees. This paper presents a Pessimistic and Optimistic Bayesian Optimization ...
- articleFebruary 2024
The RESET and MARC Techniques, with Application to Multiserver-Job Analysis
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 4March 2024, Pages 6–7https://doi.org/10.1145/3649477.3649482Multiserver-job (MSJ) systems, where jobs need to run concurrently across many servers, are increasingly common in practice. The default service ordering in many settings is First-Come First-Served (FCFS) service. Virtually all theoretical work on MSJ ...
- articleJanuary 2024
Foreword from Chair of 2023 ACM SIGMETRICS Doctoral Dissertation Award Committee
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 3December 2023, Page 28https://doi.org/10.1145/3639830.3639843The ACM SIGMETRICS Doctoral Dissertation Award recognizes outstanding thesis research by doctoral candidates in the field of performance evaluation analysis of computer systems. Nominations for the 2023 award were sought from all faculty with graduating ...
- articleJanuary 2024
An End-to-End Benchmarking Tool for Analyzing the Hardware-Software Implications of Multi-modal DNNs
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 3December 2023, Pages 25–27https://doi.org/10.1145/3639830.3639841Abstract-Multi-modal deep neural networks (DNNs) have become increasingly pervasive in many machine learning application domains due to their superior accuracy by fusing various modalities together. However, multi-modal DNNs present many unique ...
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- articleJanuary 2024
PEMA+: A Comprehensive Resource Manager for Microservices
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 51, Issue 3December 2023, Pages 10–12https://doi.org/10.1145/3639830.3639836Motivation. Microservices architecture has become more prevalent in cloud-based applications where small, looselycoupled service components work together to handle user requests [1]. This architecture differs greatly from traditional monolithic ...
- articleJune 2022
Stochastic modelling and evaluation using GreatSPN
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 49, Issue 4March 2022, Pages 87–91https://doi.org/10.1145/3543146.3543165GreatSPN is a tool that supports model-based (stochastic) analysis of Discrete Event Dynamic Systems (DEDS) modeled as Generalized Stochastic Petri Nets or one of its extensions like StochasticWell-formed Nets, Deterministic and Stochastic Petri Nets ...
- articleJune 2022
The ORIS tool: app, library, and toolkit for quantitative evaluation of non-Markovian systems
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 49, Issue 4March 2022, Pages 81–86https://doi.org/10.1145/3543146.3543164ORIS is a tool for quantitative modeling and evaluation of concurrent systems with non-Markovian durations. It provides a Graphical User Interface (GUI) for model specification as Stochastic Time Petri Nets (STPNs), validation by interactive simulation, ...
- articleJune 2022
PIPE 2.7 overview A Petri net tool for performance modeling and evaluation
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 49, Issue 4March 2022, Pages 76–80https://doi.org/10.1145/3543146.3543163The Petri net modeling formalism allows for the convenient graphical visualization of system models, as well as the modeling and performance analysis of complex stochastic systems. PIPE is an open source, platform independent tool for creating and ...
- articleJune 2022
Software Model Refactoring Driven by Performance Antipattern Detection
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 49, Issue 4March 2022, Pages 53–58https://doi.org/10.1145/3543146.3543159The satisfaction of ever more stringent performance requirements is one of the main reasons for software evolution. However, determining the primary causes of performance degradation is generally challenging, as they may depend on the joint combination ...
- research-articleMarch 2021
Only Relative Speed Matters: Virtual Causal Profiling
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 48, Issue 3December 2020, Pages 113–119https://doi.org/10.1145/3453953.3453979Causal profiling is a novel and powerful profiling technique that quantifies the potential impact of optimizing a code segment on the program runtime. A key application of causal profiling is to analyze what-if scenarios which typically require a large ...
- research-articleJuly 2020
Set the Configuration for the Heart of the OS: On the Practicality of Operating System Kernel Debloating
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 48, Issue 1June 2020, Pages 87–88https://doi.org/10.1145/3410048.3410099This paper presents a study on the practicality of operating system (OS) kernel debloating-reducing kernel code that is not needed by the target applications-in real-world systems. Despite their significant benefits regarding security (attack surface ...
- research-articleJanuary 2019
Minimal-variance distributed scheduling under strict demands and deadlines
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 46, Issue 2September 2018, Pages 12–14https://doi.org/10.1145/3305218.3305224Many modern schedulers can dynamically adjust their service capacity to match the incoming workload. At the same time, however, variability in service capacity often incurs operational and infrastructure costs. In this abstract, we characterize an ...
- extended-abstractOctober 2017
Large Deviations for Increasing Subsequences of Permutations and a Concurrency Application
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 45, Issue 2Setember 2017, Pages 39–41https://doi.org/10.1145/3152042.3152056The study of concurrent processes with conflict points is connected with the geometry of increasing subsequences of permutations -- a permutation encodes the transactions of two processes that conflict (i.e., must be executed serially), and a given ...
- extended-abstractOctober 2017
- research-articleFebruary 2016
DoKnowMe: Towards a Domain Knowledge-driven Methodology for Performance Evaluation
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 4March 2016, Pages 23–32https://doi.org/10.1145/2897356.2897360Software engineering considers performance evaluation to be one of the key portions of software quality assurance. Unfortunately, there seems to be a lack of standard methodologies for performance evaluation even in the scope of experimental computer ...
- research-articleFebruary 2016
Performance Challenges, Current Bad Practices, and Hints in PaaS Cloud Application Design
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 4March 2016, Pages 3–12https://doi.org/10.1145/2897356.2897358Cloud computing is becoming a popular approach to software application operation, utilizing on-demand network access to a pool of shared computing resources, and associated with many benefits including low-effort provisioning, rapid elasticity, ...
- sectionNovember 2015
Session details: The 3rd Annual Workshop on Distributed Cloud Computing (DCC 2015)
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 3December 2015https://doi.org/10.1145/3263046The Third Annual Workshop on Distributed Cloud Computing (DCC) was held on June 15, 2015 in conjunction with the ACM SIGMETRICS conference in Portland, OR, and was chaired by Marco Canini, Université catholique de Louvain, Belgium, James Kempf, TU ...