Abstract-Cloud computing is a harbinger to a newer era in the field of computing where distributed and centralized services are used in a unique way. In cloud computing, the computational resources of different vendors and IT services providers are managed for providing an enormous and a scalable computing services platform that offers efficient data processing coupled with better QoS at a lower cost. The on-demand dynamic and scalable resource allocation is the main motif behind the development and deployment of cloud computing. The potential growth in this area and the presence of some dominant organizations with abundant resources (like Google, Amazon, Salesforce, Rackspace, Azure, GoGrid), make the field of cloud computing more fascinating. All the cloud computing processes need to be in unanimity to dole out better QoS i.e., to provide better software functionality, meet the tenant's requirements for their desired processing power and to exploit elevated bandwidth.. However, several technical and functional e.g., pervasive access to resources, dynamic discovery, on the fly access and composition of resources pose serious challenges for cloud computing. In this study, the performance issues in cloud computing are discussed. A number of schemes pertaining to QoS issues are critically analyzed to point out their strengths and weaknesses. Some of the performance parameters at the three basic layers of the cloud -Infrastructure as a Service, Platform as a Service and Software as a Service -are also discussed in this paper.
Abstract-The area of cloud computing has become popular from the last decade due to its enormous benefits such as lower cost, faster development and access to highly available resources. Apart from these core benefits some challenges are also associated with it such as QoS, security, trust and better resource management. These challenges are caused by the infrastructure services provided by various cloud vendors on need basis. Empirical studies on cloud computing report that existing quality of services solutions are not enough as well as there are still many gaps which need to be filled. Also, there is a dire need to develop appropriate frameworks to improve response time of the clouds. In this paper, we have made an attempt to fill this gap by proposing a framework that focuses on improving the response time factor of the QoS i n t h e c l o u d e n v i r o n m e n t such as reliability and scalability. We believe that if the response time are communicating effectively and have awareness of the nearest and best possible resource available then the remaining issues pertaining to QoS can be reduced to a greater extent.
Healthcare has evolved significantly over time, from traditional healthcare systems to cuttingedge medical technologies. As these technologies advance, researchers have become interested in their usability. The usefulness of healthcare websites helps to provide more precise medical information. A comprehensive review of the literature is required to identify usability features, techniques, and issues in healthcare websites over a specified time period. In this study, articles from the years 2017-2021 are reviewed from well-known digital libraries i.e, IEEE, ACM, and ScienceDirect that include papers from various conferences, magazines, books, and journals. Initially, the study found 10,512 titles based on the search string developed from the proposed research questions which were then further filtered down to a total of 55 papers. This systematic literature review (SLR) summarises and collects relevant data in response to pre-defined research questions. This analysis of existing research will help website designers and developers, in developing more user-friendly healthcare websites for the users. In the future, this SLR will help in determining the optimal solutions and developing a framework for the identified usability challenges and limitations. It also includes employing the usability evaluation tools discovered by researchers to identify and fix usability issues on websites.INDEX TERMS healthcare websites, usability, usability testing, usability features, usability problems, human-computer interaction.
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