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Titlebook: Service-Oriented Computing – ICSOC 2017 Workshops; ASOCA, ISyCC, WESOAC Lars Braubach,Juan M. Murillo,Marc Oriol Conference proceedings 201

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A BRS Based Approach for Modeling Elastic Cloud Systemse a controlled compromise between performance and cost-saving requirements. However, due to the highly fluctuating workloads tendencies, it makes it difficult to predict how a cloud system would behave and to provide precise auto-adaptation action plans. In this paper, we propose a BRS (short for .)
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Detecting Customer Queue “at-risk” Behaviors Based on Ethograms to Minimize Overall Service Dissatisvice type (e.g., restaurant, airport) requires an adapted queue design in order to maximize attributes salient to customers (i.e., their primary elements of perceived value) in today’s globalized service environment. While the queues have been studied from many angles, a scientific contribution base
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Model Checking of Cost-Effective Elasticity Strategies in Cloud Computingwriting a simple request. These requests are becoming more and more complex so that services need to be composed to meet them. Additionally, these Cloud composite business services (CCBSs) need to be elastic, i.e. their number should be replicated or reduced according to the number of their user dem
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QoS-Driven Self-adaptation for Critical IoT-Based Systems One of these challenges is to provide constant quality-of-service despite IoT devices being used in a constantly changing physical environment. In order to answer this problem, we introduce a quality-of-service driven self-adaptation framework, which can simultaneously handle changing adaptation st
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BiAgent-Based Model for IoT Applicationserably the efficiency of otherwise unthinking objects. The huge scale on which they operate, as well as the lack of adequate standards and infrastructures makes the development of IoT applications a task of gradually growing complexity. The objective of this work is to define a formal model with BiA
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