What is going on? a systematic review on QoS scenarios

Quality of Service (QoS) is a set of non-functional requirements that could enhance the adoption rate of web services. It is essential to consider the QoS requirements for web services in order to guarantee for quality of web services and attract more users. There are many QoS scenarios such as QoS computation, QoS evaluation, QoS specification, QoS prediction and QoS measurement. In this paper, we prepare a systematic review study to provide a broad vision of primary studies to researchers in QoS scenarios to find the gaps and give the overview to perform researches to fill in the gap. The study focuses on these five most usable digital libraries including the IEEE Explorer,Springer link, ISI web of Knowledge, Emerald, and Science Direct between 2001 and 2012. The result shows that there is an urgent need to do research especially in QoS prediction and QoS computation

Concepts and derivatives of web services

Since the web services are growing rapidly in cloud, service consumers and providers are looking for a means to find better services that satisfy both parties. From both user’s and developer’s perspectives, discovering functional and non-functional characteristics of a web service is essentially considerable. Due to over-coming the above issues many research have been published to improve the usage of web services to satisfy customers. The paper reviews the literature of web services with respect to quality of service (QoS) or non-functional properties, to acquire better understanding of concepts and issues related to QoS web service selecting and discovering processes

SaaS quality of service attributes

Software as a Service (SaaS) is one of the cloud computing branch and it is rapidly growing. Quality of Service (QoS) for SaaS cloud is considered as an important concern among researchers. The QoS specification, particularly, for SaaS is known as a big gap in current researches. Therefore, in this study, the main QoS attributes for SaaS consisting of 33 attributes have been reviewed. The results show a comprehensive specification of QoS attributes for SaaS which cover more aspects of QoS for SaaS excluding the business perspective. The attributes then have been classified in terms of both user and provider perspectives and can be useful as a guideline for both users and providers

Quality of service model for software as a service in cloud computing from users' and providers' perspectives

Software as a Service (SaaS) is one of the main service models in cloud computing which enables the application to run on the cloud by eliminating the installation on the personal computer at the client side. Quality of Service (QoS) is a crucial factor for the success of cloud services especially in terms of SaaS, so that if it is not delivered as expected, it might blemish the provider's reputation. In this thesis, we address the problem of the lack of QoS model for SaaS to cover more QoS attributes compared to other existing models and their definitions to be referred as reference model which are useful in both users' and providers' perspectives. There is a high demand for creating a quality model for SaaS since conventional frameworks cannot effectively support specific quality aspects of SaaS such as scalability and reusability. Even though there are some studies that have been performed regarding the QoS models for SaaS but they considered only a few attributes and still many aspects are left. Besides, the users might not have sufficient knowledge and experience of what they want and not be able to clarify their requirements very well. Therefore, the QoS consideration should be from both service users' and providers' perspectives to be more effective. In this research, QoS attributes for SaaS cloud services from both users' and providers' perspectives are presented, defined and categorized. A quality model for SaaS called SaaS-QoS model as a reference model to be useful in both perspectives, also was proposed. First, a set of 29 QoS attributes for SaaS cloud from the literature consisted of QoS attributes specific for SaaS quality models and in overall cloud computing, was obtained. Then, a survey conducted through experts in industry, academician and researchers to measure the acceptability of the attributes using purposive sampling technique. Based on the result of the survey, 32 attributes under 5 categories were determined as QoS attributes for SaaS inspired by Service Measurement Index (SMI) framework and the SaaS-QoS model was then proposed. The SaaS-QoS model was evaluated from both user and provider perspectives through performing two surveys by SaaS providers and SaaS users. The results of evaluation part indicated that the categories and attributes assigned are highly associated and relevant. More than that, the SaaS-QoS model is practical and applicable enough for SaaS from both users' and providers' perspectives. This research has given a wider view of QoS attributes to both users and providers as a reference model and also to add to the body of knowledge and practitioners

An upper QoS ontology from service provider’s perspective.

Quality of service concern is critical and vital to have a successful and high quality web services to satisfy both client and service. In web environment, ontology is not only about the concepts but more than that; it is a clear structure which models the meaning of the knowledge domain. Currently, most of the researches are focusing on improving the quality of web services in terms of user’s perspective while there is a lack of work on provider’s perspective to improve the quality of service in the development phase. This paper proposes an upper QoS ontology from provider’s perspective which aims to be generic and able to be used by any domain