Architectural QoS pattern to guarantee the expected quality of services at runtime for context-aware adaptation application

Abstract

Since the year 2000, the use of mobile applications in general and, more specifically, context-aware applications, becomes very popular in the contemporary and even future services. Indeed, in the field of online sales, we have Amazon application; in the banking field we have e-banking applications; in the field of health we have intelligent medical applications, HealthCare application; in the field of public services, we have e-government applications. The fundamental characteristic of these applications is their ability to adapt or to react according to the information of the context. Quality of Services (QoS) and violation of Service Level Agreement (SLA) during adaptation activity are still a challenge that many researches try to address. Before addressing these problems of violation of SLA, it is important to present a concrete research work on implementing adaptation methods to better understand the adaptation activity concept. This concrete work can help companies to address adaptation issues, and better understand integration of OSGi adaptation technics on android system. In addition, the definition of an SLA between application providers and consumers to improve the QoS for application context-aware, is not obvious. This paper proposes a mechanism for addressing these issues, using existing adaptation works for the android platform, an architecture QoS pattern to preserve the quality service levels of the context-aware applications, design pattern observer and aspect oriented programming to realize service adjustment. This QoS pattern can help to guarantee the expected quality of services at runtime for contextual applications. More details of Design QoS Pattern for context-aware application will be given in the future work.

Requirements, Limitations and Recommendations for Enabling End-to-End Quality of Context-Awareness in IoT Middleware

“…Other than IoT and similar platforms (e.g., CMPs in [21]), the QoS is used as a processing-performance indicator in domains such as cloud computing [39], web services [40] and fog computing [30]. The authors in [41] described the QoS as CMP's key non-functional characteristic, and proposed a framework for maintaining QoS adequacy in CMPs.…”

“…According to [21], the dropout rate of the CMP, i.e., the ratio of requests (e.g., context queries) served to the total number of requests represents its availability. In CMPs, the unavailability of both (i) internal resources, i.e., storage and processing resources and (ii) external resources, i.e., CPs, results in service dropouts.…”

“…Reliability represents the consistency of a system in terms of its performance. It can be measured as the average time taken by the service to recover from failure, i.e., degraded performance during an availability period [21]. Similarly to availability, reliability is affected by the CMP's internal processing and the invoked CPs.…”

Design an Adaptive Mechanism Model for Supporting the Prevention of SLAs Violation in a Context of COPD Patient Monitoring

“…The requirements of patients are not addressed in the definition of this approach. In the same service quality approach, Kouame et al [3] and Abawajy et al [2] indicate that an SLA model is a document that defines negotiable Service Level Objective (SLO)s and constraints. In addition, other research projects have used SLA to improve System QoS.…”

Study of fuzzy logic and particle swarm methods in map matching algorithm

“…Route is an imperative travel property in most of the location-aware application. One can achieve information about route by regularly capturing Global Positioning System (GPS) [2] data via the cell phone connected to a server. It is necessary to manage the battery power resources efficiently if tracking for an entire day is required.…”