Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems最新文献_第3页

Travel light: state shedding for efficient operator migration 轻旅行:状态脱落，有效的操作员迁移

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539638

Espen Volnes, T. Plagemann, B. Koldehofe, V. Goebel

引用次数: 1

Toward reducing cross-shard transaction overhead in sharded blockchains 减少分片区块链中的跨分片事务开销

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539641

Liuyang Ren, Paul A. S. Ward, B. Wong

引用次数: 1

Detecting trading trends in streaming financial data using Apache Flink 使用Apache Flink检测流金融数据中的交易趋势

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539647

Emmanouil Kritharakis, Shengyao Luo, V. Unnikrishnan, Karan Vombatkere

引用次数: 0

Window-based parallel operator execution with in-network computing 基于窗口的并行运算执行与网络计算

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539804

Bochra Boughzala, Christoph Gärtner, B. Koldehofe

{"title":"Window-based parallel operator execution with in-network computing","authors":"Bochra Boughzala, Christoph Gärtner, B. Koldehofe","doi":"10.1145/3524860.3539804","DOIUrl":"https://doi.org/10.1145/3524860.3539804","url":null,"abstract":"Data parallel processing is a key concept to increase the scalability and elasticity in event streaming systems. Often data parallelism is accomplished in a splitter-merger architecture where the splitter divides incoming streams into partitions and forwards them to parallel operator instances. The splitter performance is a limiting factor to the system throughput and the parallelization degree. This work studies how to leverage novel methods of in-network computing to accelerate the splitter functionality by implementing it as an in-network function. While dedicated hardware for in-network computing has a high potential to enhance the splitter performance, in-network programming models like the P4 language are also highly limited in their expressiveness to support corresponding parallelization models. We propose P4 Splitter Switch (P4SS) which supports overlapping and non-overlapping count-based windows for multiple independent data streams and parallelizes them to a dynamically configurable number of operator instances. We validate in the context of a prototypical implementation our splitting strategy and its scalability in terms of switch resource consumption.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"23 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":"127315483","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

Detecting technical trading patterns in financial data with Apache Flink: DEBS grand challenge 2022 使用Apache Flink检测金融数据中的技术交易模式:DEBS大挑战2022

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539648

Quan Pham, Quang Nguyen, Ryte Richard, Shekhar Sharma, Xavier Ruiz

引用次数: 0

Zero-shot cost models for distributed stream processing 分布式流处理的零成本模型

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539639

Roman Heinrich, Manisha Luthra, H. Kornmayer, Carsten Binnig

引用次数: 6

A sneak peek at RisingWave: a cloud-native streaming database RisingWave:一个云原生流媒体数据库

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3543284

Yanghao Wang, Zhi Liu

引用次数: 0

Materialize: a platform for building scalable event based systems Materialize:用于构建可伸缩的基于事件的系统的平台

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3544408

Frank McSherry

引用次数: 1

Substream management in distributed streaming dataflows 分布式流数据流中的子流管理

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3539809

Artem Trofimov, Nikita Sokolov, Nikita Marshalkin, I. Kuralenok, Boris Novikov

引用次数: 2

I'm so glad I'm uncoordinated!: coordination is increasingly painful… what can be done? 我很高兴我不协调!:协调工作越来越困难……我们能做些什么?

Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems Pub Date : 2022-06-27 DOI: 10.1145/3524860.3544407

Pat Helland

{"title":"I'm so glad I'm uncoordinated!: coordination is increasingly painful… what can be done?","authors":"Pat Helland","doi":"10.1145/3524860.3544407","DOIUrl":"https://doi.org/10.1145/3524860.3544407","url":null,"abstract":"In my 44 years building software, technology trends have dramatically changed what's difficult and what's hard. In 1978, CPU, storage, and memory were precious and expensive but coordinating across work was effectively free. Now, we see an abundance of CPU, storage, memory, and bandwidth but we lose a LOT of opportunities for work when we coordinate across parallel activities. This presentation examines the nature of coordination and concludes that it is really aligning disparate arcs of the computations within the work's directed acyclic graph. Parallel systems employ a partial order or DAG (Directed Acyclic Graph) of their work. By aligning these arcs of computation, coordination is \"the partial collapse of partial order\". There are many tricks we use to reduce how often we coordinate and we attempt to taxonomize some of these and explain how they are frequently used to enhance the performance of our systems. We consider the separation of work in space, time, layering, equivalence, and also confluence. Looking at these properties helps us understand the nature of our systems and the implicit or explicit parallelism we use within them. By accepting that coordination is challenging, we can design systems to reduce the pain of these operations. Personally, I am a clumsy and uncoordinated person. I've adapted to this in my personal life by reducing the need to coordinate. Similarly, our computer systems designs work best when designed to be uncoordinated.","PeriodicalId":263415,"journal":{"name":"Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems","volume":"22 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":"125193842","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