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Quality driven web services composition
TLDR
This paper proposes a global planning approach to optimally select component services during the execution of a composite service, and experimental results show that thisglobal planning approach outperforms approaches in which the component services are selected individually for each task in a Composite service. Expand
The Self-Serv Environment for Web Services Composition
TLDR
This paper considers how the mechanism for composing services in Self-Serv is based on two major concepts: the composite service and the service container. Expand
Web services composition: A decade's overview
TLDR
The life cycle of Web services composition is overviews and the main standards, research prototypes, and platforms are surveyed using a set of assessment criteria identified in the article. Expand
Declarative composition and peer-to-peer provisioning of dynamic Web services
TLDR
This paper describes the design and implementation of a system through which existing Web services can be declaratively composed, and the resulting composite Services can be executed following a peer-to-peer paradigm, within a dynamic environment. Expand
IoT Middleware: A Survey on Issues and Enabling Technologies
TLDR
A thorough analysis of the challenges and the enabling technologies in developing an IoT middleware that embraces the heterogeneity of IoT devices and also supports the essential ingredients of composition, adaptability, and security aspects of an IoT system is conducted. Expand
ContextUML: a UML-based modeling language for model-driven development of context-aware Web services
TLDR
This paper presents a modeling language for the model-driven development of context-aware Web services based on the Unified Modeling Language (UML), and shows how UML can be used to specify information related to the design ofcontext-aware services. Expand
Trust management of services in cloud environments: Obstacles and solutions
TLDR
An overview of the cloud service models and the main techniques and research prototypes that efficiently support trust management of services in cloud environments are surveyed and a generic analytical framework is presented that assesses existing trust management research prototypes in cloud computing and relevant areas using a set of assessment criteria. Expand
Adversarial Attacks on Deep-learning Models in Natural Language Processing
TLDR
A systematic survey on preliminary knowledge of NLP and related seminal works in computer vision is presented, which collects all related academic works since the first appearance in 2017 and analyzes 40 representative works in a comprehensive way. Expand
AudioGest: enabling fine-grained hand gesture detection by decoding echo signal
TLDR
The results show that AudioGest can detect six hand gestures with an accuracy up to 96%, and by distinguishing the gesture attributions, it can provide up to 162 control commands for various applications. Expand
When things matter: A survey on data-centric internet of things
TLDR
The main techniques and state-of-the-art research efforts in IoT from data-centric perspectives are reviewed, including data stream processing, data storage models, complex event processing, and searching in IoT. Expand
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