Chronograph:事件源图计算的分布式平台

Proceedings of the Posters and Demos Session of the 17th International Middleware Conference Pub Date : 2016-12-12 DOI:10.1145/3007592.3007601

Benjamin Erb, F. Kargl

{"title":"Chronograph:事件源图计算的分布式平台","authors":"Benjamin Erb, F. Kargl","doi":"10.1145/3007592.3007601","DOIUrl":null,"url":null,"abstract":"Many data-driven applications require mechanisms for processing interconnected or graph-based data sets. Several platforms exist for offline processing of such data and fewer solutions address online computations on dynamic graphs. We combined a modified actor model, an event-sourced persistence layer, and a vertex-based, asynchronous programming model in order to unify event-driven and graph-based computations. Our distributed chronograph platform supports both near-realtime and batch computations on dynamic, event-driven graph topologies, and enables full history tracking of the evolving graphs over time.","PeriodicalId":125362,"journal":{"name":"Proceedings of the Posters and Demos Session of the 17th International Middleware Conference","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chronograph: A Distributed Platform for Event-Sourced Graph Computing\",\"authors\":\"Benjamin Erb, F. Kargl\",\"doi\":\"10.1145/3007592.3007601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many data-driven applications require mechanisms for processing interconnected or graph-based data sets. Several platforms exist for offline processing of such data and fewer solutions address online computations on dynamic graphs. We combined a modified actor model, an event-sourced persistence layer, and a vertex-based, asynchronous programming model in order to unify event-driven and graph-based computations. Our distributed chronograph platform supports both near-realtime and batch computations on dynamic, event-driven graph topologies, and enables full history tracking of the evolving graphs over time.\",\"PeriodicalId\":125362,\"journal\":{\"name\":\"Proceedings of the Posters and Demos Session of the 17th International Middleware Conference\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Posters and Demos Session of the 17th International Middleware Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3007592.3007601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Posters and Demos Session of the 17th International Middleware Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3007592.3007601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

许多数据驱动的应用程序需要处理互连或基于图的数据集的机制。有几个平台可以离线处理这些数据，但很少有解决方案可以处理动态图上的在线计算。我们将修改后的参与者模型、事件源持久性层和基于顶点的异步编程模型结合起来，以便统一事件驱动的计算和基于图的计算。我们的分布式计时平台支持动态的、事件驱动的图形拓扑的近实时和批处理计算，并支持随时间发展的图形的完整历史跟踪。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Chronograph: A Distributed Platform for Event-Sourced Graph Computing

Many data-driven applications require mechanisms for processing interconnected or graph-based data sets. Several platforms exist for offline processing of such data and fewer solutions address online computations on dynamic graphs. We combined a modified actor model, an event-sourced persistence layer, and a vertex-based, asynchronous programming model in order to unify event-driven and graph-based computations. Our distributed chronograph platform supports both near-realtime and batch computations on dynamic, event-driven graph topologies, and enables full history tracking of the evolving graphs over time.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the Posters and Demos Session of the 17th International Middleware Conference

自引率

0.00%

发文量