Load Balancing in LTE Mobile Networks with Information-Centric Networking

Mobile networks usage rapidly increased over the years, with great consequences in terms of performance requirements. In this paper, we propose mechanisms to use Information-Centric Networking to perform load balancing in mobile networks, providing content delivery over multiple radio technologies at the same time and thus efficiently using resources and improving the overall performance of content transfer. Meaningful results were obtained by comparing content transfer over single radio links with typical strategies to content transfer over multiple radio links with Information-Centric Networking load balancing. Results demonstrate that Information-Centric Networking load balancing increases the performance and efficiency of 3GPP Long Term Evolution mobile networks while greatly improving the network perceived quality for end users.

Innovative Agricultural Approaches of Promoting Food Security in Eritrea: Trends, Challenges and Opportunities for Growth: Proceedings of the Workshop of the Association of Eritreans in Agricultural Sciences (AEAS)

Eritrea is a Sahel country in terms of climate, and rainfall is low and highly variable. Shortage of food is thus a recurrent problem, and food security one of the key issues in development. The present publication presents the results of a nationwide workshop organised in 2006 in Asmara, Eritrea, by the Association of Eritreans in Agricultural Sciences (AEAS). The workshop was attended by over 200 participants from government administration, academia, development circles including NGOs and UN organisations. Specifically, the present publication deals with themes such as biotechnology, non-wood forest products, spate irrigation, the role of women relating to food security, and institutional and organisational aspects of food security. It also contains a chapter with policy recommendations, as well as an extensive summary of the main findings (paper abstracts) in Tigrinya.

A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks

Location prediction has attracted a significant amount of research effort. Being able to predict users’ movement benefits a wide range of communication systems, including location-based service/applications, mobile access control, mobile QoS provision, and resource management for mobile computation and storage management. In this demo, we present MOBaaS, which is a cloudified Mobility and Bandwidth prediction services that can be instantiated, deployed, and disposed on-demand. Mobility prediction of MOBaaS provides location predictions of a single/group user equipments (UEs) in a future moment. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operations. We demonstrate an example of real-time mobility prediction service deployment running on OpenStack platform, and the potential benefits it bring to other invoking services.