{"title":"Top-k pipe join","authors":"D. Martinenghi, M. Tagliasacchi","doi":"10.1109/ICDEW.2010.5452769","DOIUrl":null,"url":null,"abstract":"In the context of service composition and orchestration, service invocation is typically scheduled according to execution plans, whose topology establishes whether different services are to be invoked in parallel or in a sequence. In the latter case, we may have a configuration, called pipe join, in which the output of a service is used as input for another service. When the services involved in a pipe join output results sorted by score, the problem arises of efficiently determining the join tuples (aka combinations) with the highest combined scores. In this paper we study different execution strategies related to the pipe join configuration. First, we consider a strategy that minimizes the access costs to achieve a target number of combinations. Then, we propose a strategy that explicitly considers the scores of the output tuples in order to provide deterministic guarantees that the top-k combinations have been found. Finally, a hybrid strategy is presented.","PeriodicalId":442345,"journal":{"name":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2010.5452769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

In the context of service composition and orchestration, service invocation is typically scheduled according to execution plans, whose topology establishes whether different services are to be invoked in parallel or in a sequence. In the latter case, we may have a configuration, called pipe join, in which the output of a service is used as input for another service. When the services involved in a pipe join output results sorted by score, the problem arises of efficiently determining the join tuples (aka combinations) with the highest combined scores. In this paper we study different execution strategies related to the pipe join configuration. First, we consider a strategy that minimizes the access costs to achieve a target number of combinations. Then, we propose a strategy that explicitly considers the scores of the output tuples in order to provide deterministic guarantees that the top-k combinations have been found. Finally, a hybrid strategy is presented.
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在服务组合和编排的上下文中,服务调用通常根据执行计划进行调度,执行计划的拓扑结构确定了不同的服务是并行调用还是按顺序调用。在后一种情况下,我们可能有一个称为管道连接的配置,其中一个服务的输出用作另一个服务的输入。当管道连接中涉及的服务输出结果按分数排序时,就会出现如何有效地确定具有最高组合分数的连接元组(又称组合)的问题。本文研究了与管道连接结构相关的不同执行策略。首先,我们考虑一种最小化访问成本的策略,以实现目标数量的组合。然后,我们提出了一种策略,该策略显式地考虑输出元组的分数,以便为找到前k个组合提供确定性保证。最后,提出了一种混合策略。
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