Event-Based Monitoring of Service-Oriented Smart Spaces (Invited Paper)

Author(s):  
Luciano Baresi ◽  
Sam Guinea
Author(s):  
A. Vani Vathsala ◽  
Hrushikesha Mohanty

The success of the Internet and the ongoing globalization led to a demand for new solutions to meet the requirements for ITsystems. The paradigm of service-oriented and event-driven architecture with fine grained and loosely coupled services tries to cope with those needs. Service Oriented Architecture (SOA) and Event Driven Architecture (EDA) are two acknowledged architectures for the development of business applications and information systems, which have evolved separately over the years. Today both architectures are acknowledged, but their synergy is not. There are numerous benefits of having an architecture that supports coexistence between operations and events, and composition of services based on operation invocation and event triggering. As part of our ongoing research work, we have tried to analyze in this paper, the basic design of Event based systems, issues that have to be addressed when event based approach is used for composing and coordinating web services. Then we have specified the techniques available that handle these issues, and gave a comparative study on these techniques. Finally we have attempted to sort out the unhandled/ partially handled issues that could be addressed as part of our research.


2012 ◽  
Vol 8 (4) ◽  
pp. 725190 ◽  
Author(s):  
Miguel S. Familiar ◽  
José F. Martínez ◽  
Lourdes López

In the twenty-first century, the impact of wireless and ubiquitous technologies is changing the way people perceive and interact with the physical world. These communication paradigms promise to change and redefine, in a reasonably short period of time, the most common way of our everyday living. The continuous advances in the field of Wireless Sensor Networks and their direct application in Smart Spaces are clear examples of it. However, in order for this kind of new generation infrastructures to have a large-scale dissemination, there are still some open issues to tackle. In this way, this paper presents nSOM, a service-oriented framework based on sensor network design that provides internetworking services with the Internet cloud. This lightweight middleware architecture implements an agent-based virtual sensor service approach which is a compact semantic knowledge management scheme based on a dynamic composition model.


Author(s):  
Valentin Cristea ◽  
Ciprian Dobre ◽  
Corina Stratan ◽  
Florin Pop

This chapter introduces the macroscopic views on distributed systems’ components and their inter-relations. The importance of the architecture for understanding, designing, implementing, and maintaining distributed systems is presented first. Then the currently used architectures and their derivatives are analyzed. The presentation refers to the client-server (with details about Multi-tiered, REST, Remote Evaluation, and Code-on-Demand architectures), hierarchical (with insights in the protocol oriented Grid architecture), service-oriented architectures including OGSA (Open Grid Service Architecture), cloud, cluster, and peer-to-peer (with its versions: hierarchical, decentralized, distributed, and event-based integration architectures). Due to the relation between architecture and application categories supported, the chapter’s structure is similar to that of Chapter 1. Nevertheless, the focus is different. In the current chapter, for each architecture the model, advantages, disadvantages and areas of applicability are presented. Also the chapter includes concrete cases of use (namely actual distributed systems and platforms), and clarifies the relation between the architecture and the enabling technology used in its instantiation. Finally, Chapter 2 frames the discussion in the other chapters, which refer to specific components and services for large scale distributed systems.


Author(s):  
Christoph Rathfelder ◽  
Benjamin Klatt ◽  
Franz Brosch ◽  
Samuel Kounev

With the introduction of services, systems become more flexible as new services can easily be composed out of existing services. Services are increasingly used in mission-critical systems and applications, and therefore, considering Quality of Service (QoS) properties is an essential part of the service selection. Quality prediction techniques support the service provider in determining possible QoS levels that can be guaranteed to a customer or in deriving the operation costs induced by a certain QoS level. In this chapter, we present an overview on our work on modeling service-oriented systems for performance prediction using the Palladio Component Model. The prediction builds upon a model of a service-based system, and evaluates this model in order to determine the expected service quality. The presented techniques allow for early quality prediction, without the need for the system being already deployed and operating. We present the integration of our prediction approach into an SLA management framework. The emerging trend to combine event-based communication and Service-Oriented Architecture (SOA) into Event-based SOA (ESOA) induces new challenges to our approach, which are topic of a special subsection.


In accordance with the previous chapter, a particular class of smart environments is created by Smart Spaces, where many devices participate using information-driven and ontology-oriented interaction. In this case, a smart space is developed based on models from multi-agent systems and knowledge manipulation technologies from the Semantic Web. In this chapter, we consider this particular approach for creating such smart environments. The M3 architecture (multidevice, multivendor, multidomain) aims at development of smart spaces that host advanced service-oriented applications. We introduce the theoretical background of the M3 architecture in respect to its open source implementation—the Smart-M3 platform. The latter forms a technology for creating M3-based smart spaces (M3 spaces) as heterogeneous dynamic multi-agent systems with multi-device, multi-vendor, multi-domain devices and services. We further consider the concept models of space computing that enable the studied class of smart spaces, derive the generic properties that an M3 space design requires, and describe the basic software components of M3 architecture that realize the generic design properties in accordance with the concept models.


Author(s):  
L. Oliveira ◽  
Emerson Loureiro ◽  
Hyggo Almeida ◽  
Angelo Perkusich

In this article, we discuss several issues on bridging mobile devices and service-oriented computing in the context of smart spaces. Since smart spaces make extensive use of services for interacting with personal mobile devices, they become the ideal scenario for discussing the issues for this integration. A brief introduction on SOC and SOA is also presented, as well as the main architectural approaches for creating SOC environments aimed at the use of resource-constrained mobile devices.


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