Human microservices: A framework for turning humans into service providers. (12th April 2021)

• Record Type: Journal Article
• Authors: Laso, Sergio; Berrocal, Javier; García‐Alonso, José; Canal, Carlos; Manuel Murillo, Juan
• Other Names: Ilager Shashikant guestEditor.; Stankovski Vlado guestEditor.; Pallickarar Shrideep guestEditor.; Buyya Rajkumar guestEditor.
• Is Part Of: Software, practice & experience. Volume 51:Number 9(2021)
• Page Start: 1910
• Page End: 1935
• Publication Date: 2021-04-12
• Subjects: end devices -- human in the loop -- microservices -- mist computing -- mobile computing; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2976
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: During the last decade, the mobile application market has grown steadily thanks to the massive use of smartphones and the emergence of cloud computing for offloading computation tasks and improving the quality of experience. With the more recent deployment of Internet of Things (IoT) devices, this cloud‐based architectural design and the corresponding communication flow has been maintained. Nevertheless, the increasing amount of information exchanged, the stringent requirements of many IoT applications, and the need for these applications to adapt their behavior in real time to the user's context set these architectural assumptions a challenge. Paradigms such as mobile, mist, and edge computing have recently been proposed to exploit the computational and storage capabilities of current smartphones and IoT devices in order to onload some tasks onto them, reducing the overhead on both the cloud and the network. Currently, the application of these paradigms requires much attention from skilled developers to create ad hoc systems, as there lack standards and tools facilitating their use. This communication introduces Human Microservices as a framework facilitating the deployment of APIs on companion devices in order to provide personal and updated information that can be consumed by other entities. The framework improves the integration of humans in the IoT loop and facilitates the deployment of computation units in devices closer to end users, enhancing system response time by reducing the stress on cloud and network infrastructure. The proposed framework is based on existing standards in order to improve software quality and shorten the learning curve.