Publisher Placement Algorithms in Content-Based Publish/Subscribe

Cheung, Alex King Yeung; Jacobsen, Hans‐Arno

doi:10.1109/icdcs.2010.86

Cited by 14 publications

(18 citation statements)

References 32 publications

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“…The presented model has a modular design and, thus, can easily be extended to meet new requirements. For example, a relocation of publishers as described in [27] can be mapped to a shift of publication rates from one broker to another. Many other extension in fields of the data and filter model, the physical network and the broker behavior are possible.…”

Section: Discussionmentioning

confidence: 99%

Modeling and optimizing content-based publish/subscribe systems

Schröter

2009

Proceedings of the 6th Middleware Doctoral Symposium

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Section: Discussionmentioning

confidence: 99%

Modeling and optimizing content-based publish/subscribe systems

Schröter

2009

Proceedings of the 6th Middleware Doctoral Symposium

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“…#events/sec e ∈ E is published (3) subscriptionRate e #events/sec e ∈ E is subscribed to (4) We use these aggregations to define additional key performance indicators (KPIs) for single publishers and subscribers based on the set of event types e they publish (P e ⊆ E) or subscribe to (S e ⊆ E). For example, in our scenario ITSM defines for each publisher j: the total number of subscribers that publisher j is serving across all published types of notifications (5), the relative importance or power of supply (PoS) of publisher j by providing e (6), and the power of demand (PoD) for e compared to the overall demand (7):…”

Section: B Runtime Monitoring Metricsmentioning

confidence: 99%

“…Differently from our approach, which targets runtime governance based on real-time information, ViVa relies on ex-post analysis of log files. Several approaches provide information about the runtime state [25], [19], [4] or stability [15], [5], [16], [23] of an EBS by relying on a separate aggregation system. Astrolabe [25] provides summarization based on user-defined aggregation functions, implemented via a single logical aggregation tree on top 6 https://storm.incubator.apache.org/ 7 http://www.inf.usi.ch/carzaniga/siena/ of an unstructured peer-to-peer gossip protocol.…”

Section: Related Workmentioning

confidence: 99%

Effective Runtime Monitoring of Distributed Event-Based Enterprise Systems with ASIA

Frischbier

Turan

Gesmann³

et al. 2014

2014 IEEE 7th International Conference on Service-Oriented Computing and Applications

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Abstract-Cyber Physical Systems (CPS), interconnected smart devices in the Internet of Things (IoT) and other data sources are increasingly bridging the gap between the physical and digital world by providing fine-grained data about real-world events. Enterprise software systems are adopting the paradigm of eventbased systems (EBS) to enable them to react to meaningful events in a timely manner. Smart supply chains fusing dynamic sensor data with information provided by backend-systems are one such example of event-based enterprise systems.Monitoring their global state in an effective way for runtime governance remains an open research challenge: providing the required type of information while trading off precision for costs. We previously introduced application-specific integrated aggregation (ASIA) as a means for collecting metadata in distributed event-based systems. In this paper, we show how ASIA can support IT Service Management in monitoring and governing decentralized event-based enterprise systems at runtime. We present a dashboard based on industry-strength technology as proof of concept and discuss how to integrate usage statistics provided on-the-fly by ASIA into metrics for runtime governance. We evaluate our monitoring approach in terms of performance, scalability and precision. I. MOTIVATIONIn the Internet of Things (IoT), a multitude of data sources offer continuous information about events taking place in the physical world. Prominent examples are temperature readings about temperature-sensitive freight or geographical coordinates of trucks delivering goods. Enterprise software systems today have to bridge the gap between the physical and the digital world by fusing the information provided by Cyber Physical Systems (CPS) and other data sources with metadata provided by backend systems [3].Event-based systems (EBS) within an enterprise application landscape complement service-oriented architectures (SOA) to leverage streams of dynamic real-time information and react to meaningful events in a timely manner [2]. For example, smart supply chain management (SCM) systems can automatically redirect delivery routes of cargo containers or trigger processes to replenish goods if they detect delays along the supply chain based on incoming notifications; financial trading applications decide to buy or sell company shares based on real-time news feeds; and data centre management systems scale and reassign resources based on detected usage patterns [17]. In these examples, services in a SOA are invoked by components of an EBS that receive or detect meaningful events. Service invocations, in turn, can result in meaningful changes to a system, triggering components of an EBS to publish events.EBS are anonymous, information-centric networks. They consist of loosely-coupled software components with different roles that communicate asynchronously using messages: Publishers are components that publish notifications if they have detected a specific event taking place. Subscribers are components that want to be not...

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“…The spectrum of aggregated information ranges from state information [45,33,5] to a quantification of system stability [26,8,27,41].…”

Section: Distributed Aggregationmentioning

confidence: 99%

“…For example, Cheung and Jacobsen [5] propose an algorithm that probabilistically traces publication messages through replies with data aggregation in order to find the best broker for connecting a new publisher. Migliavacca and Cugola [8] provide an approach for handling replies in publish/subscribe communication.…”

Section: Distributed Aggregationmentioning

confidence: 99%

Aggregation for implicit invocations

Frischbier

Margara²,

Freudenreich

et al. 2013

Proceedings of the 12th Annual International Conference on Aspect-Oriented Software Development

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Implicit invocations are a popular mechanism for exchanging information between software components without binding these strongly. This decoupling is particularly important in distributed systems when interacting components are not known until runtime. In most realistic distributed systems though, components require some information about each other, be it only about their presence or their number. Runtime systems for implicit invocations-so-called publish/subscribe systems-are thus often combined with other systems providing such information.Given the variety of requirements for information about interacting components across applications, this paper proposes a generic augmentation of implicit invocations: rather than extending a given publish/subscribe API and system in order to convey a particular type of information across interacting components, we describe domain-specific joinpoints that can be used to advise application-level invocation routers-so-called brokers-used by publish/subscribe systems. This enables aggregation of application-specific information to and from components in a scalable manner.After presenting our domain-specific joinpoint model, we describe its implementation inside the REDS publish/subscribe middleware. The empirical evaluation of our approach shows that: (a) it outperforms external aggregation systems, by collecting and distributing information with a limited overhead; (b) the deployment of new functionalities has virtually no overhead, even if it occurs while the publish/subscribe system is running.

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Publisher Placement Algorithms in Content-Based Publish/Subscribe

Cited by 14 publications

References 32 publications

Modeling and optimizing content-based publish/subscribe systems

Modeling and optimizing content-based publish/subscribe systems

Effective Runtime Monitoring of Distributed Event-Based Enterprise Systems with ASIA

Aggregation for implicit invocations

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