Efficient data-intensive event-driven interaction in SOA

Zagarese, Quirino; Zimeo, Eugenio; Alshabani, Iyad; Pellegrino, Laurent; Baude, Françoise

doi:10.1145/2480362.2480715

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…In the future, the application of more sophisticated integration middleware platforms that transparently combine the two benefits above will be investigated [23].…”

Section: Invimall Designmentioning

confidence: 99%

Designing a Scalable Social e-Commerce Application

Zimeo¹,

Oliva²,

Baldi³

et al. 2013

SCPE

Self Cite

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Abstract. eCommerce is gaining a momentum due to the wide diffusion of Web 2.0 technology. Social mining, recommenders and data semantics are moving the focus of eCommerce applications towards context-awareness and personalization. However, the design of these software systems needs specific architectures to support intelligent behaviors, still ensuring important nonfunctional properties, such as flexibility, efficiency and scalability. This paper proposes an architectural pattern that helps designers to easily identify the subsystems that characterize intelligent enterprise systems. By decoupling transactional behavior from batch processing, the pattern avoids the interference of knowledge extraction and reasoning processes with the state and the performance of the transactional subsystem, so improving scalability. The pattern has been experimented in eCommerce by designing an intelligent and scalable virtual mall.Key words: Architectural Pattern, Software Systems Design, Scalability, Enterprise Systems, Intelligent Systems, eCommerce 1. Introduction. Enterprise systems represent today an important class of large-scale software that supports many fundamental processes of complex organizations, ranging from resource planning to business intelligence. In this class, eCommerce applications often groups many enterprise assets to offer an integrated and coherent view to merchants and customers for performing business actions.The adoption of eCommerce as a prevalent channel for selling products is changing the market rules, since competition among vendors is being migrated on the Web. Reaching the widest set of potential customers with information about the commercial products of their interest is one of the challenges that characterize the new solutions and technologies for eCommerce applications.In the evolution of the Web, Web 2.0 technology represents a milestone with its emphasis on supporting social collaboration and reasoning over data semantics. The new way of interaction is introducing a radical innovation in eCommerce [21], moving the focus towards context-awareness and personalization. If on the one hand, these innovative features improve product selling, they also significantly impact the way modern eCommerce applications are designed and implemented.Traditional architectures exploited to design enterprise systems (in particular eCommerce applications) need to be revised in order to take into account the desired ability of these systems to "generate" knowledge while working, on the basis of several information sources that could be available as enterprise assets. These sources could be tightly related to the eCommerce application or belonging to different enterprise subsystems that support cross-business features; they can change over time or can be enriched with additional ones when new needs emerge.Designing an architecture for eCommerce applications in this new scenario is not simple, since designers have to combine the expected intelligent behavior of the system with non-functional requirements, such ...

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“…In the future, the application of more sophisticated integration middleware platforms that transparently combine the two benefits above will be investigated [23].…”

Section: Invimall Designmentioning

confidence: 99%

Designing a Scalable Social e-Commerce Application

Zimeo¹,

Oliva²,

Baldi³

et al. 2013

SCPE

Self Cite

View full text Add to dashboard Cite

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Improving data-intensive EDA performance with annotation-driven laziness

Zagarese

Zimeo

Alshabani

et al. 2015

Science of Computer Programming

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International audienceEvent-driven programming in large scale environments is becoming a common requirement of modern distributed applications. It introduces some beneficial effects such as real-time state updates and replications, which enable new kinds of applications and efficient architectural solutions. However, these benefits could be compromised if the adopted infrastructure were not designed to ensure efficient delivery of events and related data. This paper presents an architectural model, a middleware (WS-Link) and annotation-based mechanisms to ensure high performance in delivering events carrying large attachments. We transparently decouple event notification from related data to avoid useless data-transfers. This way, while event notifications are routed in a conventional manner through an event service, data are directly and transparently transferred from publishers to subscribers. The theoretical analysis shows that we can reduce the average event delivery time by half, compared to a conventional approach requiring the full mediation of the event service. The experimental analysis confirms that the proposed approach outperforms the conventional one (both for throughput and delivery time) even though the middleware overhead, introduced by the specific adopted model, slightly reduces the expected benefits

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