Monitoring solution for autonomic Middleware-level QoS management within IoT systems

Banouar, Yassine; Reddad, Saad; Diop, Codé; Chassot, Christophe; Zyane, Abdellah

doi:10.1109/aiccsa.2015.7507202

Cited by 8 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…QoS negotiation is mediated between Service Providers and Consumers by using QoS broker [30] QoS negotiation framework is proposed to handle QoS in IoT [31] Context-based negotiation strategy and integrate with Web Service Agreement Negotiation Standard [32] Negotiation framework is used in M2M applications to negotiate the required SLA with standard interface [33] Mixed approach between concession and tradeoff strategy to balance utility and success rate for Cloud service negotiation [34] QoS Decision Extend QoS brokering for SOAs by designing a service selection QoS broker that maximize a utility function for service consumers [35] QoS Decision Making Function and QoS Broker [36] Decision Making for QoS in IoT [37] QoS Monitoring Autonomic middleware level for QoS managements in IoT systems [38] QoS Monitoring used in scheduling process for IoT services [37] Process Monitoring Agent, Sensing Quality and Energy Monitoring Agent [36] To enable QoS support, QoS monitoring and prediction are essential for highly adaptation of changes of QoS in component services [39] QoS is highly dynamic changed with time and places, so monitoring and prediction are critical procedures and the work proposed IoTPredict based on collaborative approaches [40] QoS Traffic Management Novel traffic management policy for achieving QoS of Machine Type Communication [41] Survey in Software Defined Networking realm how to provide QoS in network applications, which is essential for dynamic QoS support because SDN is programmable [42] Automated translation from QoS network constrain into SDN configuration [43] Autonomic QoS management mechanism for SDN network [44] QoS Scheduler Message QoS scheduling algorithm is proposed for classifying emergency and non-emergency messages [37] Three-layer QoS scheduling model for SOA IoT applications [37] the Environment for The Things as a Service. In [34], the game theoretic approach was used to design a negotiation framework when conflict of QoS occurred between SPs and Clients.…”

Section: Qos Negotiationmentioning

confidence: 99%

See 1 more Smart Citation

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

et al. 2022

View full text Add to dashboard Cite

Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging in the market and competing to offer their services. Many IoT applications utilize these services in an integrated manner with different Quality-of-Service (QoS) requirements. Thus, the provisioning of end-to-end QoS is getting more indispensable for IoT platforms. However, provisioning the system by using only QoS metrics without considering user experiences is not sufficient. Recently, Quality of Experience (QoE) model has become a promising approach to quantify actual user experiences of services. A holistic design approach that considers constraints of various QoS/QoE metrics together is needed to satisfy requirements of these applications and services. Besides, IoT services may operate in environments with limited resources. Therefore, effective management of services and system resources is essential for QoS/QoE support. This paper provides a comprehensive survey for the state-of-the-art studies on IoT services with QoS/QoE perspective. Our contributions are threefold: (1) QoEdriven architecture is demonstrated by classifying vital components according to QoE-related functions in prior studies, (2) QoE metrics and QoE optimization objectives are classified by corresponding system and resource control problems in the architecture, and (3) QoE-aware resource management e.g., QoE-aware offloading, placement and data caching policies with recent Machine Learning approaches are extensively reviewed. INDEX TERMSInternet of Things, Quality of Service, Quality of Experience, IoT services, IoT applications, QoS for IoT services, QoS metrics, QoE metrics, IoT architecture Recently, emerging IoT architectures with multi-layers, e.g., Mobile Edge Computing (MEC), Fog Computing and Cloud Computing, have been proposed to improve user experiences.

show abstract

Section: Qos Negotiationmentioning

confidence: 99%

“…For instance, Middleware QoS management for IoT services was proposed in [38] to monitor and detect QoS degradation, so that QoS actions could be executed to improve QoS level to the target. Moreover, in [37], monitoring QoS was utilized in their proposed QoS-aware scheduling for IoT services.…”

Section: Qos Negotiationmentioning

confidence: 99%

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Autonomic QoS Management [26] offers a middleware that autonomically manages Quality of Service (QoS) in IoT scenarios. While this does address some aspects related to security (i.e.…”

Section: Non-secured Systemsmentioning

confidence: 99%

A security survey of middleware for the Internet of Things

Fremantle

Scott

2015

Preprint

View full text Add to dashboard Cite

The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

show abstract

“…Providing IoT platforms with QoS-oriented capabilities becomes a necessity that remains under research study [3,4]. QoS issue in such environments is more considered at the network and device levels by the proposition of packet scheduling algorithms [5], service differentiation techniques [6], routing protocols [7] and adaptive architectures for devices [8].…”

Section: Introductionmentioning

confidence: 99%

QoS management mechanisms for Enhanced Living Environments in IoT

Banouar¹,

Ouedraogo²,

Chassot³

et al. 2017

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

Self Cite

View full text Add to dashboard Cite

The Internet of Things (IoT) paradigm is expected to bring ubiquitous intelligence through new applications in order to enhance living and other environments. Several research and standardization studies are now focused on the Middleware level of the underlying communication system. For this level, several challenges need to be considered, among them the Quality of Service (QoS) issue. The Autonomic Computing paradigm is now recognized as a promising approach to help communication and other systems to self-adapt when the context is changing. With the aim to promote the vision of an autonomic Middlewarelevel QoS management for IoT-based systems, this paper proposes a set of QoS-oriented mechanisms that can be dynamically executed at the Middleware level to correct QoS degradation. The benefits of the proposed mechanisms are also illustrated for a concrete case of Enhanced Living Environment.

show abstract

Monitoring solution for autonomic Middleware-level QoS management within IoT systems

Cited by 8 publications

References 6 publications

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

A security survey of middleware for the Internet of Things

QoS management mechanisms for Enhanced Living Environments in IoT

Contact Info

Product

Resources

About