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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 ...
- 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, ...
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- 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 ...
- 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
- 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 ...
- short-paperNovember 2015
Deduplication-Assisted Data Reduction and Distribution in Cloud-of-Clouds
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 3December 2015, Page 42https://doi.org/10.1145/2847220.2847231With the increasing popularity and cost-effectiveness of cloud storage, many companies and organizations have moved or planned to move data out of their own data centers into the cloud. However, solely depending on a particular cloud storage mprovider ...
- short-paperNovember 2015
Anticipating Requests to Improve Performance and Reduce Costs in Cloud Storage
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 3December 2015, Pages 21–24https://doi.org/10.1145/2847220.2847226Clouds are a suitable place to store data with scalability and financial flexibility. However, it is difficult to ensure the reliability of the data stored in a cloud. Byzantine fault tolerance can improve reliability, but at a high cost. This paper ...
- short-paperNovember 2015
A Predictive Control Approach for Fault Management of Computing Systems
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 3December 2015, Pages 16–20https://doi.org/10.1145/2847220.2847225In this paper, a model-based predictive control approach for fault management in computing systems is presented. The proposed approach can incorporate existing fault diagnosis methods and fault recovery actions to facilitate the recovery process. When a ...
- short-paperNovember 2015
How many planet-wide leaders should there be?
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 43, Issue 3December 2015, Pages 3–6https://doi.org/10.1145/2847220.2847222Geo-replication becomes increasingly important for modern planetary scale distributed systems, yet it comes with a specific challenge: latency, bounded by the speed of light. In particular, clients of a geo-replicated system must communicate with a ...
- extended-abstractJune 2015
Minimizing Interference and Maximizing Progress for Hadoop Virtual Machines
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 42, Issue 4March 2015, Pages 62–71https://doi.org/10.1145/2788402.2788411Virtualization promised to dramatically increase server utilization levels, yet many data centers are still only lightly loaded. In some ways, big data applications are an ideal fit for using this residual capacity to perform meaningful work, but the ...
- extended-abstractJune 2015
Optimal Map Reduce Job Capacity Allocation in Cloud Systems
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 42, Issue 4March 2015, Pages 51–61https://doi.org/10.1145/2788402.2788410We are entering a Big Data world. Many sectors of our economy are now guided by data-driven decision processes. Big Data and business intelligence applications are facilitated by the MapReduce programming model while, at infrastructural layer, cloud ...
- extended-abstractJune 2015
Exploiting Cloud Heterogeneity to Optimize Performance and Cost of MapReduce Processing
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 42, Issue 4March 2015, Pages 38–50https://doi.org/10.1145/2788402.2788409Cloud computing offers a new, attractive option to customers for quickly provisioning any size Hadoop cluster, consuming resources as a service, executing their MapReduce workload, and then paying for the time these resources were used. One of the open ...
- extended-abstractJune 2015
Multi-resource Fair Sharing for Multiclass Workflows
ACM SIGMETRICS Performance Evaluation Review (SIGMETRICS), Volume 42, Issue 4March 2015, Pages 31–37https://doi.org/10.1145/2788402.2788408Multi-resource sharing for concurrent workows necessitates a fairness criteria to allocate multiple resources to work-flows with heterogeneous demands. Recently, this problem has attracted increasing attention and has been investigated by assuming that ...