Abstract
We present a complete system, called Challenged Content Delivery Network (CCDN), to efficiently deliver multimedia content to mobile users who live in developing countries, ru-ral areas, or over-populated cities with no or weak network infrastructure. These mobile users do not have always-on Internet access. We demo our CCDN, implemented on a Linux server, Raspberry Pi proxies, and Android phones from three aspects: multimedia, networking, and machine learning tools. We propose multiple optimization algorithm modules that compute personalized distribution plans, and maximize the overall user experience. CCDN allows people living in area with challenged networks access to multime-dia content, like news reports, using mobile devices, such as smartphones. This in turn will help in eliminating the digi-tal divide, which refers to information inequality to persons with different Internet accessing abilities. Categories and Subject Descriptors: H.3 [Information Storage and Retrieval]: Systems and Software.