Designing an Adaptive Bandwidth Management for Higher Education Institutions

Abstract

Purpose-This study proposes an adaptive bandwidth management system which can be explicitly used by educational institutions. The primary goal of the system is to increase the bandwidth of the users who access more on educational websites. Through this proposed bandwidth management, the users of the campus networks is encouraged to utilize the internet for educational purposes. Method-The weblog from a university's pfSense proxy server was utilized and undergo Web Usage Mining (WUM) to determine the number of educational and non-educational websites accessed by the users. Certain formulas were used in the computation of the bandwidth which was dynamically assigned to the users. A prototyping technique was applied in developing adaptive bandwidth management system. The prototype was simulated and evaluated by experts in compliance with ISO/IEC 14598-6 and ISO/IEC 9126-1 standards. 18 Results-This study found that the prototype is capable of adjusting the bandwidth of the network users dynamically. The users who browsed more on educational websites or contents were assigned with higher bandwidth compared to those who are not. Further, the evaluated prototype met the software standards of ISO. Conclusion-The proposed adaptive bandwidth management can contribute to the continuous development in the area of computer networking, especially in designing and managing campus networks. It also helps the network administrators or IT managers in allocating bandwidth with minimal effort. Recommendations-Further work on refining the process in the computation and allocation of the bandwidth is recommended. Other techniques should be tested as well to lessen the delay in assigning the bandwidth of each user. Research Implications-The proposed method can also be implemented in other opensource networking software and applied to other organizations by changing the rules instead of considering educational websites.

Advancing the State of the Fog Computing to Enable 5G Network Technologies

“…Users are empowered to lay down their own rules and regulations of routing and transmitting networks, which provides flexible communication [46]. SDN plays a vital role in fog computing by competently managing diverse fog networks as well as offering solutions to reoccurring challenges [47]. These challenges include uneven connectivity and increased loss in packet data [48].…”

Proposing a New Model for Quality of Service Acceptance

“…In recent years, organizations, particularly HEIs, have shown the enormous migration of IT applications and services to the cloud. The main concern of decision-makers in HEIs when migrating to the cloud is the QoS aspects, whereas these aspects include for instance availability, reliability, performance [6,20], IT infrastructure [24], cost [25], human capital [26], and service provider [11]. HEIs needs to identify QoS variables from different aspects for instance regulation, cost reduction, and trustworthy [27,28], while another researcher has been identifying other factors such as performance and environments [29,30], ICT infrastructure, user satisfaction, clients' needs security, and reliability [24].…”

“…The main concern of decision-makers in HEIs when migrating to the cloud is the QoS aspects, whereas these aspects include for instance availability, reliability, performance [6,20], IT infrastructure [24], cost [25], human capital [26], and service provider [11]. HEIs needs to identify QoS variables from different aspects for instance regulation, cost reduction, and trustworthy [27,28], while another researcher has been identifying other factors such as performance and environments [29,30], ICT infrastructure, user satisfaction, clients' needs security, and reliability [24]. Many researchers start investigate QoS in different aspects such as [31] study QoS from perspective of SLA contract management, [32] also explore QoS from allocating optimal resources, and [33] study QoS from cloud provider aspect to how can provider collaborate consistently to procure more assets in peak time to satisfy their QoS targets.…”

Campus realities: Forecasting user bandwidth utilization using monte carlo simulation

“…Hence, there is a need to build a model that can predict data usage for real-world traffic in the campus network. This will help not only in planning and upgrading campus network resources but also improve the overall performance of the network in terms of bandwidth consumption [20][21][22][23]. Literature in  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol.…”

“…The use of statistical techniques was employed to quantify the concurrent number of traffic of fixed access networks with a specific target to residential areas only. [18][19][20][21] explicitly developed an adaptive bandwidth management system for higher education institutions with a view to increasing the bandwidth of the users who access more educational websites. The theory of their design was based on the work of the authors in [24] that studied the utilization of bandwidth in the face of increased internet traffic in the era of 'bring your own device'(BYOD) and increased digital content.…”