发布求助
文献互助 智能选刊 最新文献

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems最新文献

筛选
英文 中文
RFID-based logistics monitoring with semantics-driven event processing 具有语义驱动事件处理的基于rfid的物流监控
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933300
M. Rinne, M. Solanki, Esko Nuutila
{"title":"RFID-based logistics monitoring with semantics-driven event processing","authors":"M. Rinne, M. Solanki, Esko Nuutila","doi":"10.1145/2933267.2933300","DOIUrl":"https://doi.org/10.1145/2933267.2933300","url":null,"abstract":"In this paper a real-life counterfeit and theft detection scenario from pharmaceutical manufacturing is modelled using events encoded as XML and RDF. With Esper and Instans event processing platforms, the second one from the semantic web domain, the same task is configured and an experimental performance evaluation is carried out. Our results show that even though the starting points are very different, the same core task can be accomplished on both platforms. We provide quantitative performance comparisons that corroborate our analysis. For an understanding of what can be expected from each framework outside the core task, the differences between the two tools and their respective domains are qualitatively analysed.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131646185","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: 13
Spreadsheets for stream processing with unbounded windows and partitions 用于无界窗口和分区的流处理的电子表格
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933607
Martin Hirzel, R. Rabbah, Philippe Suter, O. Tardieu, M. Vaziri
{"title":"Spreadsheets for stream processing with unbounded windows and partitions","authors":"Martin Hirzel, R. Rabbah, Philippe Suter, O. Tardieu, M. Vaziri","doi":"10.1145/2933267.2933607","DOIUrl":"https://doi.org/10.1145/2933267.2933607","url":null,"abstract":"Stream processing is a computational paradigm that allows the analysis of live data streams as they are produced. This paper describes a programming model, based on enhancements to spreadsheets, that enables users with limited programming experience to participate directly in the development of complex streaming applications. The programming model augments a conventional spreadsheet with streaming features that permit operating over unbounded data sets despite the finite interface provided by the spreadsheet. The new constructs include time-based windows and partitioning. We introduce a spreadsheet compiler that generates C++ code to achieve integration with existing stream processing systems. Our experimental study illustrates the expressivity of the new features and finds that our implementation is between 8x slower and 2x faster than hand-written stream programs.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"14 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124620510","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: 10
Dynamic graph management for streaming social media analytics 动态图形管理流媒体社交媒体分析
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933515
Christos Vlassopoulos, Ioannis Kontopoulos, Michail Apostolou, A. Artikis, D. Vogiatzis
{"title":"Dynamic graph management for streaming social media analytics","authors":"Christos Vlassopoulos, Ioannis Kontopoulos, Michail Apostolou, A. Artikis, D. Vogiatzis","doi":"10.1145/2933267.2933515","DOIUrl":"https://doi.org/10.1145/2933267.2933515","url":null,"abstract":"We present a system for analytics on streaming social media that computes the most active posts, based on the age and the amount of comments for each post, and tracks the largest communities that comprise friends that are fond of the same content. To deal with high velocity data streams, we implemented an algorithm for incrementally updating graphs expressing social networks. The evaluation of our system is based on the datasets of the DEBS 2016 challenge.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129443139","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
Distributed streaming reconstruction of information diffusion: poster 信息扩散的分布式流重构:海报
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933294
Peter M. Fischer, Io Taxidou, Bernhard Lutz, Michael Huber
{"title":"Distributed streaming reconstruction of information diffusion: poster","authors":"Peter M. Fischer, Io Taxidou, Bernhard Lutz, Michael Huber","doi":"10.1145/2933267.2933294","DOIUrl":"https://doi.org/10.1145/2933267.2933294","url":null,"abstract":"Recent advances in social media have triggered a massive engagement of user population: a large part of people's lives has shifted to social media platforms and real events are reported while they are happening (e.g. in Twitter). As a result, such platforms have become an important source of information, being used by professionals as well, e.g. journalists, for fast access to news and events. Social media maintain an underlying network of social connections over which such information propagates. Information diffusion in social media has attracted attention, by analyzing how information is propagated from user to user and who is influenced by whom. Given the scale and speed of such information, systems that can keep up with such fast rates are required. In this poster, we present a system for real time reconstruction of information diffusion that encompass the challenges of analyzing fast data streams combined with large social graphs.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130012927","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
Modeling and recognition of events from multidimensional data: doctoral symposium 多维数据事件建模与识别:博士研讨会
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933434
O. Patri
{"title":"Modeling and recognition of events from multidimensional data: doctoral symposium","authors":"O. Patri","doi":"10.1145/2933267.2933434","DOIUrl":"https://doi.org/10.1145/2933267.2933434","url":null,"abstract":"The recent rise in scale of sensors has led to the need for faster processing of events from multiple sensor data streams in a variety of real-world applications. We need an approach to model real-world entities and their interrelationships, and specify the process of moving from sensor data streams to event detection to event-based goal planning. Recent advances in analysis of temporal data, such as time series shapelets, provide methods for identifying these discriminative events for classification. In this dissertation, I make connections between event processing and time series data mining as part of a comprehensive event detection and representation framework.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126179950","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
Diversified set monitoring over distributed data streams 对分布式数据流进行多样化的集监控
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933298
Daichi Amagata, T. Hara
{"title":"Diversified set monitoring over distributed data streams","authors":"Daichi Amagata, T. Hara","doi":"10.1145/2933267.2933298","DOIUrl":"https://doi.org/10.1145/2933267.2933298","url":null,"abstract":"Data monitoring over distributed streams is a fundamental problem, as represented by modern applications, e.g., sensor network and financial data monitoring. Such applications need a technique which continuously monitors user-requiring data and achieves not only time and space efficiencies but also communication efficiency. In addition, result diversification is also required to increase user satisfaction, thus has been receiving significant attention recently. This motivates us to consider a problem of monitoring k-diverse data over distributed streams. Result diversification is well known to be NP-hard, so the natures of NP-hardness and dynamic distributed data bring non-trivial challenges, e.g., impracticably of centralized approaches. In this paper, we propose a novel algorithm that monitors k-diverse data with time, space, and communication efficiencies. The results of our experiments using both real and synthetic data confirm the effectiveness of our algorithm.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126367331","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: 9
Continuous analytics on graph data streams using WSO2 complex event processor 使用WSO2复杂事件处理器对图形数据流进行连续分析
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933508
Malith Jayasinghe, Anoukh Jayawardena, Bhagya Rupasinghe, Miyuru Dayarathna, S. Perera, Sriskandarajah Suhothayan, I. Perera
{"title":"Continuous analytics on graph data streams using WSO2 complex event processor","authors":"Malith Jayasinghe, Anoukh Jayawardena, Bhagya Rupasinghe, Miyuru Dayarathna, S. Perera, Sriskandarajah Suhothayan, I. Perera","doi":"10.1145/2933267.2933508","DOIUrl":"https://doi.org/10.1145/2933267.2933508","url":null,"abstract":"The ACM DEBS Grand Challenge 2016 focuses on analysing the properties of a time evolving social-network graph generated using LDBC (Linked Data Benchmark Council) Social Network Benchmark. In this paper we present how we used WSO2 CEP, an open source, commercially available Complex Event Processing Engine, to solve the problem. On a 4-core/8 GB virtual machine, our solution processed 90,000 events per second with a mean latency of 6 ms for query 1. For query 2 it processed 210,000 events per second with a mean latency of only 0.3 ms. The paper describes the solution we propose, the experiments' results, and presents how we optimized the performance of our solution.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130841047","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: 6
Multi-query outlier detection over data streams: poster 多查询异常检测数据流:海报
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933292
Lei Cao, Jiayuan Wang, Elke A. Rundensteiner
{"title":"Multi-query outlier detection over data streams: poster","authors":"Lei Cao, Jiayuan Wang, Elke A. Rundensteiner","doi":"10.1145/2933267.2933292","DOIUrl":"https://doi.org/10.1145/2933267.2933292","url":null,"abstract":"Real-time analytics of anomalous phenomena on streaming data typically relies on processing a large variety of continuous outlier detection requests, each configured with different parameter settings. The processing of such complex outlier analytics workloads is resource consuming due to the algorithmic complexity of the outlier mining process. In this work we propose a sharing-aware multi-query execution strategy for outlier detection on data streams called SOP. The key insight of SOP is to transform the problem of handling a multi-query outlier analytics workload into a single-query skyline computation problem. SOP achieves minimal utilization of both computational and memory resources for the processing of these complex outlier analytics workload.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125646731","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
Adaptive steering of cyber-physical systems with atomic complex event processing services: doctoral symposium 具有原子复杂事件处理服务的信息物理系统的自适应导向:博士研讨会
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2933427
Julius Ollesch
{"title":"Adaptive steering of cyber-physical systems with atomic complex event processing services: doctoral symposium","authors":"Julius Ollesch","doi":"10.1145/2933267.2933427","DOIUrl":"https://doi.org/10.1145/2933267.2933427","url":null,"abstract":"Given the advent of cyber-physical systems (CPS), event-based control paradigms such as complex event processing (CEP) are vital enablers for adaptive analytical control mechanisms. CPS are becoming a high-profile research topic as they are key to disruptive digital innovations such as autonomous driving, industrial internet, smart grid and ambient assisted living. However, organizational and technological scalability of today's CEP approaches is limited by their monolithic architectures. This leads to the research idea for atomic CEP entities and the hypothesis that a network of small event-based control services is better suited for CPS development and operation than current centralised approaches. In addition, the paper summarizes preliminary results of the presented doctoral work and outlines questions for future research as well as an evaluation plan.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123913262","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: 5
Reducing expenses of top-k monitoring in sensor cloud services 降低传感器云服务中top-k监控的费用
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems Pub Date : 2016-06-13 DOI: 10.1145/2933267.2935090
Kamalas Udomlamlert, T. Hara
{"title":"Reducing expenses of top-k monitoring in sensor cloud services","authors":"Kamalas Udomlamlert, T. Hara","doi":"10.1145/2933267.2935090","DOIUrl":"https://doi.org/10.1145/2933267.2935090","url":null,"abstract":"In sensor cloud services, the expense is charged based on the amount of resource usage, e.g. data requests. This paper originally presents an expense-minimizing framework for top-k monitoring in sensor cloud services where the expense is denoted by the costs of data requests. Instead of fetching all the latest data in each timestamp, we propose a novel ε-top-k query delivering approximate top-k answers with a probabilistic guarantee on the selectively-fetched dataset which is a combination of certain and uncertain data (modelled by their age). In addition, using a cloud environment as well as our proposed method to process ε-top-k queries can alleviate the computing-intensive computations, so it is not only cheaper but even faster than an ordinary top-k calculation method. The extensive experiments on the real-world climate datasets demonstrate that our methods can reduce the expense by more than half with desirable accuracy.","PeriodicalId":277061,"journal":{"name":"Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123918270","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信