Cloud computing is a massive amount of dynamic ad distributed resources that are delivered on request to clients over the Internet. Typical centralized cloud computing models may have difficulty dealing with challenges caused by IoT applications, such as network failure, latency, and capacity constraints. One of the introduced methods to solve these challenges is fog computing which makes the cloud closer to IoT devices. A system for dynamic congestion management brokerage is presented in this paper. With this proposed system, the IoT quality of service (QoS) requirements as defined by the service-level agreement (SLA) can be met as the massive amount of cloud requests come from the fog broker layer. In addition, a forwarding policy is introduced which helps the cloud service broker to select and forward the high-priority requests to the appropriate cloud resources from fog brokers and cloud users. This proposed idea is influenced by the weighted fair queuing (WFQ) Cisco queuing mechanism to simplify the management and control of the congestion that may possibly take place at the cloud service broker side. The system proposed in this paper is evaluated using iFogSim and CloudSim tools, and the results demonstrate that it improves IoT (QoS) compliance, while also avoiding cloud SLA violations.
This study assesses the use of an m-learning system by faculty members in Saudi Arabia using a new approach and methodology. Optimum use of educational technology requires consideration of requirements, obstacles and opportunities expected from user interaction with such systems and tools. While the use of m-learning in Saudi Arabia is relatively new, different research studies have investigated the use of m-learning in Saudi Arabia using different models. Most of the presented models investigated the acceptance and use from student perspectives, with little consideration of adoption by faculty members, their use of m-learning systems and their concerns (i.e. facilitators and barriers) as users. Some of the used models managed to provide significant results in relation to m-learning use, while others were found to lack a systematic and appropriate methodology. Concern Based Adoption Model (CBAM), which is widely used in the USA, Canada and (more recently) the Middle East (particularly Jordan), was used in this study to investigate m-learning adoption as an educational technology in Saudi Arabia. This framework provides tools to evaluate the use of educational technology within educational settings. This framework has not previously been used in Saudi Arabian educational research literature, and it is believed that the output will be valuable for enhancing the level of concern, adoption and use of m-learning in the future.
Many research has been conducted to examine the acceptance factors to use mobile learning (m-learning) for regular students. During the COVID-19 most of the higher education institutions around the world were converted to m-learning especially for regular students, in order to continue supporting the educational stage for these students. This situation, allow researches to tested the use of m-learning for regular students while they are studying in distance learning environment. However, limited researches, especially in developing countries, have been tested the acceptance factors to use m-leaning for distance learning students. In this study the behavioral intention to use mobile learning (m-learning) were examined as well as the m-learning factors that affecting its acceptance amongst the distance learning students were outlined. The study framework was depended on the model of Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative approach was used to analyze the data that collected from a random sample of 154 male and female participants from Saudi universities. The results indicated that significant factors influencing distance learning students’ behavioral intention include quality of service, effort expectancy, facilitating conditions, gender, educational level, and type of device. The regulations governing distance learning programs and the implementation of mobile learning by Saudi universities under the direction of the Ministry of Higher Education are having a good impact and encouraging widespread use of m-learning.
Theadvancement of smartphones, global positioning system, and information technologies have a great influence on our travelling preferences and behaviour, dynamically shaping the transportation industry. In addition to providing convenience to the riders, it also has created some debate among the stakeholders, including the policy makers. This paper presents a quantitative study of Taxi service experience in Jordan. The aim of the study is to evaluate Jordanians’ experiences with yellow taxi services, assess their opinion toward advantages and disadvantages of Uber taxi services in Jordan and obtain opinions on the expected future of Uber taxi services.
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