Working Paper 2010-01, September 2010

Ilmenauer Beiträge zur Wirtschaftsinformatik Nr. 2010-01 / Technische Universität Ilmenau, Fakultät für Wirtschaftswissenschaften, Institut für Wirtschaftsinformatik ISSN 1861-9223 ISBN 978-3-938940-30-

Failure-Sentient Composition For Swarm-Based Drone Services

We propose a novel failure-sentient framework for swarm-based drone delivery services. The framework ensures that those drones that experience a noticeable degradation in their performance (called soft failure) and which are part of a swarm, do not disrupt the successful delivery of packages to a consumer. The framework composes a weighted continual federated learning prediction module to accurately predict the time of failures of individual drones and uptime after failures. These predictions are used to determine the severity of failures at both the drone and swarm levels. We propose a speed-based heuristic algorithm with lookahead optimization to generate an optimal set of services considering failures. Experimental results on real datasets prove the efficiency of our proposed approach in terms of prediction accuracy, delivery times, and execution times.Comment: 11 pages, 14 figures, This paper is accepted in the 2023 IEEE International Conference on Web Services (ICWS 2023

Runtime model checking for sla compliance monitoring and qos prediction

Sophisticated workflows, where multiple parties cooperate towards the achievement of a shared goal are today common. In a market-oriented setup, it is key that effective mechanisms be available for providing accountability within the business process. The challenge is to be able to continuously monitor the progress of the business process, ideally,anticipating contract breaches and triggering corrective actions. In this paper we propose a novel QoS prediction approach which combines runtime monitoring of the real system with probabilistic model-checking on a parametric system model. To cope with the huge amount of data generated by the monitored system, while ensuring that parameters are extracted in a timing fashion, we relied on big data analytics solutions. To validate the proposed approach, a prototype of the QoS prediction framework has been developed, and an experimental campaign has been conducted with respect to a case study in the field of Smart Grids

On Evaluating Commercial Cloud Services: A Systematic Review

Background: Cloud Computing is increasingly booming in industry with many competing providers and services. Accordingly, evaluation of commercial Cloud services is necessary. However, the existing evaluation studies are relatively chaotic. There exists tremendous confusion and gap between practices and theory about Cloud services evaluation. Aim: To facilitate relieving the aforementioned chaos, this work aims to synthesize the existing evaluation implementations to outline the state-of-the-practice and also identify research opportunities in Cloud services evaluation. Method: Based on a conceptual evaluation model comprising six steps, the Systematic Literature Review (SLR) method was employed to collect relevant evidence to investigate the Cloud services evaluation step by step. Results: This SLR identified 82 relevant evaluation studies. The overall data collected from these studies essentially represent the current practical landscape of implementing Cloud services evaluation, and in turn can be reused to facilitate future evaluation work. Conclusions: Evaluation of commercial Cloud services has become a world-wide research topic. Some of the findings of this SLR identify several research gaps in the area of Cloud services evaluation (e.g., the Elasticity and Security evaluation of commercial Cloud services could be a long-term challenge), while some other findings suggest the trend of applying commercial Cloud services (e.g., compared with PaaS, IaaS seems more suitable for customers and is particularly important in industry). This SLR study itself also confirms some previous experiences and reveals new Evidence-Based Software Engineering (EBSE) lessons

Un método de evaluación de usabilidad de mashups basado en la composicionalidad de sus componentes

[ES] Los Mashups son una nueva generación de aplicaciones Web que integran componentes provistos por terceros desde la Web. La usabilidad en este tipo de aplicaciones es un factor muy importante ya que como en toda aplicación Web, este determina el éxito de la aplicación. Si bien se han planteado métodos de evaluación que permiten evaluar la usabilidad de aplicaciones Web en general, éstos no cubren las características inherentes a la composicionalidad de los Mashups. La presente tesina de máster pretende aportar un método de evaluación de la usabilidad de Mashups acorde con sus características propias de composicionalidad. El método está compuesto de un modelo de usabilidad y un proceso de evaluación que provee guías sobre la forma en la que el modelo de usabilidad puede ser usado para realizar evaluaciones específicas. Tanto el modelo de usabilidad como el proceso de evaluación están alineados con el último estándar ISO/IEC 25000 para la evaluación de la calidad de producto (SQuaRE) y ambos toman en cuenta la naturaleza composicional de los Mashups. El modelo de usabilidad descompone el concepto de usabilidad en sub-características y métricas genéricas. Estas métricas son aplicadas en la composición del producto final y el método de evaluación puede ser aplicado en cualquier estado del ciclo de vida de este tipo de aplicaciones, ya sea en la selección de los componentes, durante el proceso de composición o cuando el producto está listo para ser usado. Para apoyar esta propuesta se ha realizado un profundo estudio del estado del arte. Este estudio comprende dos mapeos sistemáticos: el primero abarca un estudio de la evaluación de la calidad de los Mashups y el segundo cubre las características de la composicionalidad envueltas en los Mashups. Los resultados obtenidos aportaron de una forma significativa en la definición del Modelo de Usabilidad de Mashups y posteriormente en el proceso de evaluación de usabilidad. Finalmente, se desarrollaron tres casos de estudio que muestran la viabilidad de nuestro enfoque. Estos casos de estudio muestran en detalle como el método de evaluación propuesto utiliza nuestro Modelo de Usabilidad para Mashups. Los resultados muestran que nuestra propuesta permite detectar problemas de usabilidad, los cuales una vez corregidos, permiten obtener Mashups más usables[EN] Mashups are the new-generation of Web applications that integrates third-party components from the Web. Usability in these applications is very important since their success depends on this quality factor. Although several methods have been proposed to evaluate the usability of Web applications in general, they do not cover the specific characteristics inherent to the compositionality of Mashups. This master thesis aims to provide a method for evaluating the usability of Mashups according to their specific characteristics of compositionality. The method is composed of a usability model and an evaluation process that provides guidelines on how the usability model can be used to perform specific evaluations. Both the usability model and the evaluation process are aligned with the latest ISO/IEC 25000 standard for software product quality evaluation (SQuaRE), and both take into account the compositional nature of mashups. The usability model breaks down the concept of usability into sub-characteristics, attributes and generic metrics. These metrics are applied to the final product composition and process evaluation method can be applied at any stage of the life cycle of this kind of applications (i.e., during the component selection, the composition process or when the product is ready for use. In order to support the foundation of this proposal, an in-depth study was performed about the state of art. This study comprises two systematic mappings: the first one covers the quality evaluation of Mashups, whereas the second one covers the compositionality features involved in Mashups. The obtained results were used as input in order to define both our Mashups Usability Model, and our usability evaluation process. Finally, we developed three case studies in order to show the feasibility of our approach. These case studies show in detail how the proposed evaluation method was followed by using our Mashup Usability Model. Results showed that our approach was able to detect usability problems, which once corrected, it allows obtaining more usable Mashups.Cedillo Orellana, IP. (2013). Un método de evaluación de usabilidad de mashups basado en la composicionalidad de sus componentes. http://hdl.handle.net/10251/37955Archivo delegad

Trust-Oriented Composite Services Selection and Discovery

In Service-Oriented Computing (SOC) environments, service clients interact with service providers for consuming services. From the viewpoint of service clients, the trust level of a service or a service provider is a critical issue to consider in service selection and discovery, particularly when a client is looking for a service from a large set of services or service providers. However, a service may invoke other services offered by different providers forming composite services. The complex invocations in composite services greatly increase the complexity of trust-oriented service selection and discovery. In this paper, we propose novel approaches for composite service representation, trust evaluation and trust-oriented service selection and discovery. Our experiments illustrate that compared with the existing approaches our proposed trust-oriented service selection and discovery algorithm is realistic and more efficient.18 page(s

INVESTIGATINGTHE EXISTENCE OF BUSINESS-IT ALIGNMENT TRAP IN FINNISH ORGANIZATIONS (Evidence of a Survey Study)

siirretty Doriast

A Proactive Adaptation Framework for Composite Web Services

Service orientation is a design paradigm consisting of a set of principles governed by a service-oriented architecture (SOA) to support the creation of software systems as a composition of interoperable services. The ability to effectively compose services is not a trivial task due to the dynamic nature of the execution environment of service compositions. In this context, dynamic service selection and composition is a critical requirement and one of the major research challenges for service-based systems. This research investigates the identification, detection and prediction of the need for adaptation as well as ways to autonomously reconfigure the service composition during its execution time in order to improve service reliability and conformance with systems requirements and policies. We propose a framework for proactive adaptation of service compositions that extends current approaches for dynamic service composition by proactively and individually identifying the need for adaptation for each parallel running instance of service composition while avoiding unnecessary changes and distributing load request among different service operations when necessary. Our framework has been tested and validated using different prototypes implemented in both simulated and real environments. The results were favourable with the research objectives and indicates a major gain in the use of the proposed proactive techniques in the execution and adaptation of web service compositions

DISCOVERING THE CORE LOGIC AND PURPOSE OF ENTERPRISE ARCHITECTURE AS A HOLISTIC APPROACH TO BUSINESS EXECUTION

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