Companion of the 2023 ACM/SPEC International Conference on Performance Engineering最新文献_第6页

Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps DevSecOps中的安全性:将工具和机器学习应用于验证和监控步骤

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584943

Matija Cankar, Nenad Petrovic, Joao Pita Costa, Ales Cernivec, Jan Antic, Tomaz Martincic, Dejan Štepec

{"title":"Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps","authors":"Matija Cankar, Nenad Petrovic, Joao Pita Costa, Ales Cernivec, Jan Antic, Tomaz Martincic, Dejan Štepec","doi":"10.1145/3578245.3584943","DOIUrl":"https://doi.org/10.1145/3578245.3584943","url":null,"abstract":"Security represents one of the crucial concerns when it comes to DevOps methodology-empowered software development and service delivery process. Considering the adoption of Infrastructure as Code (IaC), even minor flaws could potentially cause fatal consequences, especially in sensitive domains such as healthcare and maritime applications. However, most of the existing solutions tackle either Static Application Security Testing (SAST) or run-time behavior analysis distinctly. In this paper, we propose a) IaC Scan Runner, an open-source solution developed in Python for inspecting a variety of state-of-the-art IaC languages in application design time and b) the run time anomaly detection tool called LOMOS. Both tools work in synergy and provide a valuable contribution to a DevSecOps tool set. The proposed approach is demonstrated and their results will be demonstrated on various case studies showcasing the capabilities of static analysis tool IaC Scan Runner combined with LOMOS - log analysis artificial intelligence-enabled framework.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127652276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Case of Multi-Resource Fairness for Serverless Workflows (Work In Progress Paper) 无服务器工作流的多资源公平案例(工作进展文件)

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585033

Amit Samanta, Ryan Stutsman

{"title":"A Case of Multi-Resource Fairness for Serverless Workflows (Work In Progress Paper)","authors":"Amit Samanta, Ryan Stutsman","doi":"10.1145/3578245.3585033","DOIUrl":"https://doi.org/10.1145/3578245.3585033","url":null,"abstract":"Serverless platforms have exploded in popularity in recent years, but, today, these platforms are still unsuitable for large classes of applications. They perform well for batch-oriented workloads that perform coarse transformations over data asynchronously, but their lack of clear service level agreements (SLAs), high per-invocation overheads, and interference make deploying online applications with stringent response time demands impractical. Our assertion is that beyond the glaring issues like cold start costs, a more fundamental shift is needed in how serverless function invocations are provisioned and scheduled in order to support these more demanding applications. Specifically, we propose a platform that leverages the observability and predictability of serverless functions to enforce multi-resource fairness. We explain why we believe interference across a spectrum of resources (CPU, network, and storage) contributes to lower resource utilization and poor response times for latency-sensitive and high-fanout serverless application patterns. Finally, we propose a new distributed and hierarchical function scheduling architecture that combines lessons from multi-resource fair scheduling, hierarchical scheduling, batch-analytics resource scheduling, and statistics to create an approach that we believe will enable tighter SLAs on serverless platforms than has been possible in the past.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs 寻找基本事实:评估基准运行的相似性

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584693

A. Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, K. Chard, Samuel Kounev, I. Foster

引用次数: 0

Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe Project 促进极端和可持续的图形处理对欧洲紧急社会挑战的影响:一个地平线欧洲项目

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585334

Nuria de Lama Sanchez, P. Haase, D. Roman, R.-C. Prodan

{"title":"Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe Project","authors":"Nuria de Lama Sanchez, P. Haase, D. Roman, R.-C. Prodan","doi":"10.1145/3578245.3585334","DOIUrl":"https://doi.org/10.1145/3578245.3585334","url":null,"abstract":"We explore the potential of the Graph-Massivizer project funded by the Horizon Europe research and innovation program of the European Union to boost the impact of extreme and sustainable graph processing for mitigating existing urgent societal challenges. Current graph processing platforms do not support diverse workloads, models, languages, and algebraic frameworks. Existing specialized platforms are difficult to use by non-experts and suffer from limited portability and interoperability, leading to redundant efforts and inefficient resource and energy consumption due to vendor and even platform lock-in. While synthetic data emerged as an invaluable resource overshadowing actual data for developing robust artificial intelligence analytics, graph generation remains a challenge due to extreme dimensionality and complexity. On the European scale, this practice is unsustainable and, thus, threatens the possibility of creating a climate-neutral and sustainable economy based on graph data. Making graph processing sustainable is essential but needs credible evidence. The grand vision of the Graph-Massivizer project is a technological solution, coupled with field experiments and experience-sharing, for a high-performance and sustainable graph processing of extreme data with a proper response for any need and organizational size by 2030.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126323123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Challenges and Possible Approaches for Sustainable Digital Twinning 可持续数字结对的挑战和可能的方法

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584927

Stijn Bellis, J. Denil

引用次数: 0

Heuristic Derivation of a Fluid Model from a Layered Queueing Network 分层排队网络流体模型的启发式推导

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584852

M. Woodside

引用次数: 1

Design-time Performability Evaluation of Runtime Adaptation Strategies (Work In Progress Paper) 运行时适应策略的设计时可执行性评估(工作进展文件)

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585028

Martina Rapp, Max Scheerer, Ralf H. Reussner

引用次数: 0

ICPE'23 Fast Continuum Workshop Chairs' Welcome ICPE第23届快速连续研讨会主席欢迎

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584932

D. Ardagna, E. Di Nitto, Lorenzo Blasi, F. Lordan

{"title":"ICPE'23 Fast Continuum Workshop Chairs' Welcome","authors":"D. Ardagna, E. Di Nitto, Lorenzo Blasi, F. Lordan","doi":"10.1145/3578245.3584932","DOIUrl":"https://doi.org/10.1145/3578245.3584932","url":null,"abstract":"It is our great pleasure to welcome you to the first FastContinuum Workshop held on April 16th 2023. The goal of the workshop is to foster discussion and collaboration among researchers from cloud/edge/fog computing and performance analysis communities, to share the relevant topics and results of the current approaches proposed by industry and academia. FastContinuum solicited full papers as well as demo and short papers including reports about research activities not mature enough for a full paper as well as new ideas and vision papers. The final program includes four full papers and three short ones. They cover some of the most interesting areas of computing continua, from FaaS development and acceleration to the management of heterogeneous datasets to the development of Infrastructure as Code and the automation of deployment through the computing continuum. DevSecOps is also brought to the attendees' attention as one of the crucial ingredients for proper management of the continuum. The workshop keynote, given by Samuel Kunev, investigates further the area of serverless computing properly positioning the multiple aspects and approaches developed in this area and highlighting the main challenges related to the performance of these approaches. The keynote is held in collaboration with the eleventh International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2023).","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124992412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scaling the Metaverse: An AI Perspective 缩放虚拟世界:AI视角

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3584920

T. Lorido-Botran

引用次数: 0

Can My WiFi Handle the Metaverse? A Performance Evaluation Of Meta's Flagship Virtual Reality Hardware 我的WiFi能处理超宇宙吗?Meta旗舰虚拟现实硬件性能评估

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering Pub Date : 2023-04-15 DOI: 10.1145/3578245.3585022

Matthijs Jansen, Jesse Donkervliet, A. Trivedi, A. Iosup

{"title":"Can My WiFi Handle the Metaverse? A Performance Evaluation Of Meta's Flagship Virtual Reality Hardware","authors":"Matthijs Jansen, Jesse Donkervliet, A. Trivedi, A. Iosup","doi":"10.1145/3578245.3585022","DOIUrl":"https://doi.org/10.1145/3578245.3585022","url":null,"abstract":"Extending human societies into virtual space through the construction of a metaverse has been a long-term challenge in both industry and academia. Achieving this challenge is now closer than ever due to advances in computer systems, facilitating large-scale online platforms such as Minecraft and Roblox that fulfill an increasing number of societal needs, and extended reality (XR) hardware, which provides users with state-of-the-art immersive experiences. For a metaverse to succeed, we argue that all involved systems must provide consistently good performance. However, there is a lack of knowledge on the performance characteristics of extended reality devices. In this paper, we address this gap and focus on extended- and virtual-reality hardware. We synthesize a user-centered system model that models common deployments of XR hardware and their trade-offs. Based on this model, we design and conduct real-world experiments with Meta's flagship virtual reality device, the Quest Pro. We highlight two surprising results from our findings which show that (i) under our workload, the battery drains 15% faster when using wireless offloading compared to local execution, and (ii) the outdated 2.4 GHz WiFi4 gives surprisingly good performance, with 99% of samples achieving a frame rate of at least 65 Hz, compared to the 72 Hz performance target. Our experimental setup and data are available at https://github.com/atlarge-research/measuring-the-metaverse.","PeriodicalId":190503,"journal":{"name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129585908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0