Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems最新文献

{"title":"Climate change and computing: facts, perspectives and an open discussion","authors":"Antoine Amarilli, Christophe Claramunt, D. Zeinalipour-Yazti","doi":"10.1145/3524860.3544831","DOIUrl":"https://doi.org/10.1145/3524860.3544831","url":null,"abstract":"The rise of temperatures on Earth have alerted communities around the globe to devise immediate solutions to help curb the severe effects of Climate Change, which is attributed to greenhouse gas emissions caused by human activities. Even though the Computing field is a cause of emissions in its own right, it also has the potential to increase the efficiency of human workflows in all sectors, such as transportation, buildings, energy & heat production, industry, agriculture, and livestock, etc. In this panel discussion, we start out with a general overview of terminology, factors, metrics, and objectives related to climate change, and then survey: (i) Green Conferences; (ii) Green Mobility; (iii) Green Cities and (iv) Green Smart Spaces. The participants are expected to bring into the discussion their own perspectives from the academic, governmental, and industrial sector to report on how they perceive the future of the Computing Field in a future shaped by Climate Change, and how we can all help achieve the goals of the Paris Agreement.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125694356","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}

{"title":"Efficient processing of high-volume tick data with Apache Flink for the DEBS 2022 grand challenge","authors":"Stefanos Kalogerakis, Antonis Papaioannou, K. Magoutis","doi":"10.1145/3524860.3539649","DOIUrl":"https://doi.org/10.1145/3524860.3539649","url":null,"abstract":"The DEBS 2022 Grand Challenge (GC) focuses on real-time complex event processing of real-world high-volume tick data. The goal of the challenge is to efficiently compute specific trend indicators and detect patterns resembling those used by real-life traders to decide on buying or selling on the financial markets. Motivated by the exciting nature of the 2022 GC topic, we undertook the design and implementation of a system that addresses it. Our design features a custom windowing mechanism that leverages event semantics. This paper reports on our team's solution to the 2022 GC and reports on the performance we observed in the evaluation testbed.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133184141","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}

{"title":"SMAS","authors":"P. Mpeis, Athina Hadjichristodoulou, Jaime Bleye Vicario, D. Zeinalipour-Yazti","doi":"10.1145/3524860.3543282","DOIUrl":"https://doi.org/10.1145/3524860.3543282","url":null,"abstract":"In this paper we present the design and utility of a Smart Alert System (SMAS) for quick first response and effective fighting of fires in their initial stages on roll-on / roll-off (ro-ro) vessels. Given that localization within the steel structures of a vessel is currently an open problem, we develop a ground-breaking infrastructure-free (i.e., \"zero\" infrastructure) localization architecture to localize on ordinary smartphones in vessel indoor spaces that lack any infrastructure whatsoever (e.g., Wi-Fi, BLE, UWB, RFID, LED). Particularly, we developed a smartphone-based Computer Vision (CV) localization technology upon which an innovative nearest neighbor information communication channel for spatio-textual alerting between first responders is constructed. We also develop information sharing channels of multimedia content (e.g., heat scans) but also provide an integrated search and navigation tool for stationary and mobile assets of a vessel and the fire control operation. We have developed a complete functional system of SMAS using a micro-service edge architecture that deploys sharded sqlite micro-databases. We will present SMAS in two modes: (i) Online Mode, where attendees will be able to carry out simulated emergency scenarios; and (ii) Offline Mode, where attendees will be able to observe emergency scenarios recorded on video traces.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127275122","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}

{"title":"Interactive and explorative stream processing","authors":"Timo Räth","doi":"10.1145/3524860.3543287","DOIUrl":"https://doi.org/10.1145/3524860.3543287","url":null,"abstract":"Formulating a suitable stream processing pipeline for a particular use case is a complicated process that highly depends on the processed data and usually requires many cycles of refinement. By combining the advantages of visual data exploration with the concept of real-time modifiability of a stream processing pipeline we want to contribute an interactive approach that simplifies and enhances the process of pipeline engineering. As a proof of concept, a prototype has been developed that delivers promising results in various test use cases and allows to modify the parameters and structure of stream processing pipelines at a development stage in a matter of milliseconds. By utilizing collected data and statistics from this explorative intermediate stage we will automatically generate optimized runtime code for a standalone execution of the constructed pipeline.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"50 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129851787","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}

{"title":"Teasing journalistic findings out of heterogeneous sources: a data/AI journey","authors":"I. Manolescu","doi":"10.1145/3524860.3544406","DOIUrl":"https://doi.org/10.1145/3524860.3544406","url":null,"abstract":"Freedom of the press is under threat worldwide, and the quality of information that people have access to is dangerously degraded, under the joint threat of non-democratic governments and fake information propagation. The press as an industry needs powerful data management tools to help them interpret the complex reality surrounding us. Since 2018, I have been cooperating with journalists from Le Monde, France's leading newspaper, in devising tools for analyzing large and heterogeneuos data sources that they are interested in. This research has been embodied in ConnectionLens, a graph ETL tool capable of ingesting heterogeneous data sources into a graph, enriched (with the help of ML methods) with entities extracted from data of any type. On such integrated graphs, we devised novel algorithms for keyword search, and combine them in more recent research with structured querying. The talk describes the architecture and main algorithmic challenges in building and exploiting ConnectionLens graphs, illustrated in particular on an application where we study conflicts of interest in the biomedical domain. This is joint work with A. Anadiotis, O. Balalau, H. Galhardas and many others. ConnectionLens Web site (papers+code): https://team.inria.fr/cedar/connectionlens/. This research has been funded by Agence Nationale de la Recherche AI Chair SourcesSay (https://sourcessay.inria.fr).","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131204201","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}

{"title":"It's funny because it's true: confronting scientific catechisms through comic books!","authors":"Falaah Arif Khan","doi":"10.1145/3524860.3544409","DOIUrl":"https://doi.org/10.1145/3524860.3544409","url":null,"abstract":"What do a foul green ogre and a well-constructed narrative have in common? They're both like onions - they have layers! Keeping with the theme of diversity and inclusion, I'll focus on three main 'layers' of the scientific landscape: the research --- our perception and framing of important research questions and methodologies; publication practices --- how we communicate results and disseminate our research; and lastly the broader discourse around data-driven technology --- public sentiment and literacy, and media reporting. The landscape is rife with problems, including incentive structures and gold-rush mentality in scholarship, celebrity culture and media hype, unhealthy extremes of techno-bashing and techno-optimism and the false dichotomy between \"social problems\" and \"engineering problems\". Nuance and critical thinking are the most valuable, yet scarce commodities! A possible first step at self-correction could be for us - as practitioners and designers of these systems - to stop taking ourselves so seriously and challenge the catechisms of our scientific landscape. In this talk, I'll share one way that we might be able to go about doing this --- using the marvelous world of comics! Drawing from my own work in creating educational and satirical comic books about AI and data-driven technologies, I'll pick apart the onion, layer by layer, and highlight some of the most pressing problems and prescribe possible solutions to make our landscape more inclusive. At the very least, I'll present some fun and light-hearted cartoons that will make this confrontation more enjoyable!","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696425","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}

{"title":"A unifying model for distributed data-intensive systems","authors":"Alessandro Margara","doi":"10.1145/3524860.3539782","DOIUrl":"https://doi.org/10.1145/3524860.3539782","url":null,"abstract":"Modern applications handle increasingly larger volumes of data, generated at an unprecedented and constantly growing rate. They introduce challenges that are radically transforming the research fields that gravitate around data management and processing, resulting in a blooming of distributed data-intensive systems. Each such system comes with its specific assumptions, data and processing model, design choices, implementation strategies, and guarantees. Yet, the problems data-intensive systems face and the solutions they propose are frequently overlapping. This tutorial presents a unifying model for data-intensive systems that dissects them into core building blocks, enabling a precise and unambiguous description and a detailed comparison. From the model, we derive a list of classification criteria and we use them to build a taxonomy of state-of-the-art systems. The tutorial offers a global view of the vast research field of data-intensive systems, highlighting interesting observations on the current state of things, and suggesting promising research directions.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123272421","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}

{"title":"Rethinking how distributed applications are built","authors":"Till Rohrmann","doi":"10.1145/3524860.3544410","DOIUrl":"https://doi.org/10.1145/3524860.3544410","url":null,"abstract":"In our more and more connected world where people are used to managing their lives via digital services, it has become mandatory for a successful company to build applications that can scale with the popularity of the company's services. Scalability is not the only requirement but similarly important is that modern applications are highly available and fast because users are not willing to wait in our ever faster moving world. Due to this, we have seen a shift from the classic monolith towards micro service architectures which promise to be more easily scalable. The emergence of serverless functions further strengthened this trend more recently. By implementing a micro service architecture, application developers are all of a sudden exposed to the realm of distributed applications with its seemingly limitless scalability but also its pitfalls nobody tells you about upfront. So instead of solving business domain problems, developers find themselves fighting with race conditions, distributed failures, inconsistencies and in general a drastically increased complexity. In order to solve some of these problems, people introduce endless retries, timeouts, sagas and distributed transactions. These band aids can quickly result in a not so scalable system that is brittle and hard to maintain. The underlying problem is that developers are responsible for ensuring reliable communication and consistent state changes. Having a system that takes care of these aspects could drastically reduce the complexity of developing scalable distributed applications. By inverting the traditional control-flow from application-to-database to database-to-application, we can put the database in charge of ensuring reliable communication and consistent state changes and, thus, freeing the developer to think about it. In this keynote, I want to explore the idea of putting the database in charge of driving the application logic using the example of Stateful Functions, a library built on top of Apache Flink that follows this idea. I will explain how Stateful Functions achieves scalability and consistency but also what its limitations are. Based on these results, I would like to sketch the requirements for a runtime that can truly realise the full potential of Stateful Functions and discuss with you ideas how it could be implemented.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122403866","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}

{"title":"Analysis of market data with Noir: DEBS grand challenge","authors":"L. Martini, Alessandro Margara, G. Cugola","doi":"10.1145/3524860.3539646","DOIUrl":"https://doi.org/10.1145/3524860.3539646","url":null,"abstract":"The 2022 DEBS Grand Challenge targets the analysis of real-world market data to define a trading strategy that triggers buy/sell advice based on specific temporal patterns. This paper presents a solution to this problem based on Noir, a distributed data processing framework developed at Politecnico di Milano that aims to provide high-level programming abstractions with minimal overhead. Noir abstracts all concerns related to deployment, concurrency, and synchronization, allowing developers to concentrate on the logic of the processing task. It simplifies the definition of a solution and minimizes the time to develop it and make it operational, while at the same time it does not sacrifice absolute performance. Our experiments show that Noir can analyze millions of events per second and deliver answers with a latency of few milliseconds.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122781074","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}

{"title":"Real-time analysis of market data leveraging Apache Flink","authors":"Cecilia Calavaro, G. Russo, V. Cardellini","doi":"10.1145/3524860.3539650","DOIUrl":"https://doi.org/10.1145/3524860.3539650","url":null,"abstract":"In this paper, we present a solution to the DEBS 2022 Grand Challenge (GC). According to the GC requirements, the proposed software continuously observes notifications about financial instruments being traded, aiming to timely detect breakout patterns. Our solution leverages Apache Flink, an open-source, scalable stream processing platform, which allows us to process incoming data streams with low latency and exploit the parallelism offered by the underlying computing infrastructure.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115666356","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}