Service Orchestration on the Internet of Things

On July 27, 2010, Jordán Pascual Espada defended his Master’s thesis at Oviedo University (Spain), titled: “Service Orchestration on the internet of things”. This Master’s thesis is the final part of the Web Engineering Official Research Master belonging to the European Higher Education Area. Jordán Pascual Espada defended his dissertation in a publicly open presentation held in the School of Computer Engineering at Oviedo University, and was able to comment on every question raised by his committee and the audience. The master’s thesis was supervised by his advisors, Juan Manuel Cueva Lovelle and Oscar Sanjuán Martínez. The thesis has been read and approved by his thesis committee, receiving the highest rating

Service Orchestration on the Internet of Things

On July 27, 2010, Jordán Pascual Espada defended his Master’s thesis at Oviedo University (Spain), titled: “Service Orchestration on the internet of things”. This Master’s thesis is the final part of the Web Engineering Official Research Master belonging to the European Higher Education Area. Jordán Pascual Espada defended his dissertation in a publicly open presentation held in the School of Computer Engineering at Oviedo University, and was able to comment on every question raised by his committee and the audience. The master’s thesis was supervised by his advisors, Juan Manuel Cueva Lovelle and Oscar Sanjuán Martínez. The thesis has been read and approved by his thesis committee, receiving the highest rating

Elgar framework: context-aware service orchestration with data Petri net

The Internet of Things is composed of many heterogeneous devices and services. In general, the phase of orchestrating different devices in order to allow interoperability in different environment is difficult. This is because most IoT services are not reusable because of data interpretation and service interoperability problem. In this research, we embrace the concept of design once, deploy anywhere for IoT services. We proposed two major methods which are (i) modeling IoT services with data-aware service model and (ii) semantical approach using context ontology to support service orchestration. Finally, we showed that IoT services with various ontologies can be composed based on our orchestration method

Resource Orchestration in Digital Servitisation: A Case Study of Integrated Energy Service

The widespread of digital technologies, such as the Internet of Things, in manufacturing industries has evoked a growing research stream on digital servitisation. Existing studies have formed a preliminary consensus on the conceptualisation of digital servitisation and discussed the business model, process transformation. Yet, the organisational micro foundation contributing to new strategy capabilities remain elusive. This paper aims at exploring the resource orchestration that manufacture undertaking in digital servitsation. Through a case study, the organisation restructuring process of an integrated energy service company is discussed. The research suggest that four categories of orchestration tactics enable digital servitisation path, which are physical resource orchestration tactic, human resource orchestration tactic, organisational structure tactic, ecological relationship orchestration tactic. It describes and exemplifies how manufacture transforms each of these aspects. Two types of strategy are recognised, conservative and aggressive strategy. In the end, a digital servitisation conceptual framework was proposed. Keywords: Digital Servitisation, Resource Orchestration, Integrated Energy Servic

Orchestrating Service Migration for Low Power MEC-Enabled IoT Devices

Multi-Access Edge Computing (MEC) is a key enabling technology for Fifth Generation (5G) mobile networks. MEC facilitates distributed cloud computing capabilities and information technology service environment for applications and services at the edges of mobile networks. This architectural modification serves to reduce congestion, latency, and improve the performance of such edge colocated applications and devices. In this paper, we demonstrate how reactive service migration can be orchestrated for low-power MEC-enabled Internet of Things (IoT) devices. Here, we use open-source Kubernetes as container orchestration system. Our demo is based on traditional client-server system from user equipment (UE) over Long Term Evolution (LTE) to the MEC server. As the use case scenario, we post-process live video received over web real-time communication (WebRTC). Next, we integrate orchestration by Kubernetes with S1 handovers, demonstrating MEC-based software defined network (SDN). Now, edge applications may reactively follow the UE within the radio access network (RAN), expediting low-latency. The collected data is used to analyze the benefits of the low-power MEC-enabled IoT device scheme, in which end-to-end (E2E) latency and power requirements of the UE are improved. We further discuss the challenges of implementing such schemes and future research directions therein

End-User Development Success Factors and their Application to Composite Web Development Environments

The Future Internet is expected to be composed of a mesh of interoperable Web services accessed from all over the Web. This approach has not yet caught on since global user-service interaction is still an open issue. Successful composite applications rely on heavyweight service orchestration technologies that raise the bar far above end-user skills. The weakness lies in the abstraction of the underlying service front-end architecture rather than the infrastructure technologies themselves. In our opinion, the best approach is to offer end-to-end composition from user interface to service invocation, as well as an understandable abstraction of both building blocks and a visual composition technique. In this paper we formalize our vision with regard to the next-generation front-end Web technology that will enable integrated access to services, contents and things in the Future Internet. We present a novel reference architecture designed to empower non-technical end users to create and share their own self-service composite applications. A tool implementing this architecture has been developed as part of the European FP7 FAST Project and EzWeb Project, allowing us to validate the rationale behind our approach

Optimal Service Placement with QoS Monitoring in NFV and Slicing Enabled 5G IoT Networks

Network function virtualization (NFV) and network slicing are two promising enabling technologies for 5G networks. Considering the volume of data traffic generated by Internet of things (IoT) applications and their service requirement diversity as well as that network resources are spread across different locations, it is imperative to find solutions for optimal service placement and resource allocation for quality of service (QoS) provisioning. In this paper, we address the challenges of optimal network service placement with active QoS monitoring in NFV and network slicing enabled 5G IoT networks and propose a network architecture with optimal computation and resource placement over core, local, and edge data centers. The solution is implemented through virtualized infrastructure managers where operation costs and QoS requirements are considered for service placement. Optimal algorithms are developed based on a control system hub platform with an open source management and orchestration framework. To monitor the performance during traffic runtime, virtual charmed factors are adopted for control and QoS measurement.acceptedVersio

Rentable Internet of Things Infrastructure for Sensing as a Service (S2aaS)

Sensing as a Service (S2aaS) model [1] [2] is inspired by the traditional Everything as a service (XaaS) approaches [3]. It aims to better utilize the existing Internet of Things (IoT) infrastructure. S2aaS vision aims to create 'rentable infrastructure' where interested parties can gather IoT data by paying a fee for the infrastructure owners