Real-world machine learning systems: A survey from a data-oriented architecture perspective
Machine Learning models are being deployed as parts of real-world systems with the
upsurge of interest in artificial intelligence. The design, implementation, and maintenance of …
upsurge of interest in artificial intelligence. The design, implementation, and maintenance of …
Qos prediction for reliable service composition in iot
Abstract An Internet of Things (IoT) environment should respond to users' requirements by
providing access to a number of component services, which can be used to create …
providing access to a number of component services, which can be used to create …
A self-adaptive service discovery model for smart cities
City services are frequently supported by software services that are managed by service-
oriented architectures. However, a large number of software services is likely to cause …
oriented architectures. However, a large number of software services is likely to cause …
A top-K QoS-optimal service composition approach based on service dependency graph
B Zhang, K Wen, J Lu, M Zhong - Journal of Organizational and End …, 2021 - igi-global.com
With the development of internet of things (IoT) technology, servitization of IoT device
functions has become a trend. The cooperation between IoT devices can be equivalent to …
functions has become a trend. The cooperation between IoT devices can be equivalent to …
An empirical evaluation of flow based programming in the machine learning deployment context
As use of data driven technologies spreads, software engineers are more often faced with
the task of solving a business problem using data-driven methods such as machine learning …
the task of solving a business problem using data-driven methods such as machine learning …
Elastic composition of crowdsourced iot energy services
We propose a novel type of service composition, called elastic composition which provides a
reliable framework in a highly fluctuating IoT energy provisioning settings. We rely on …
reliable framework in a highly fluctuating IoT energy provisioning settings. We rely on …
Towards better data discovery and collection with flow-based programming
Despite huge successes reported by the field of machine learning, such as voice assistants
or self-driving cars, businesses still observe very high failure rate when it comes to …
or self-driving cars, businesses still observe very high failure rate when it comes to …
Services in iot: A service planning model based on consumer feedback
IoT offers a large number of services from different providers. These services frequently
need to be composed to provide novel applications. Current work in IoT service composition …
need to be composed to provide novel applications. Current work in IoT service composition …
Formal modelling and verification of scalable service composition in IoT environment
A system based on the internet of things (IoT) consists of services deployed across several
devices that collaborate to fulfil IoT system goals. The growth in the number of IoT services …
devices that collaborate to fulfil IoT system goals. The growth in the number of IoT services …
Cognitive pervasive service composition applied to predatory crime deterrence
Pervasive service composition is useful in many scenarios, for instance, in urban planning or
controlled harvest. Currently, there is no standard to develop solutions using pervasive …
controlled harvest. Currently, there is no standard to develop solutions using pervasive …