Karthik Srinivasa Gopalan

A Cloud Based Service Architecture for Personalized Media Recommendations

As the world becomes a highly interconnected place, there is an increasing demand for providing ubiquitous access to content and services over a wide variety of platforms and devices. There is an increasing need to provide rich, intelligent and personalized services to the user irrespective of his location or method of access. There is a need to be connected and have access to resources and services round the clock. All of the above requirements need to be fulfilled in a seamless and scalable fashion in order to support a rich user experience. The cloud computing paradigm has been proposed as the next generation infrastructure to support a highly scalable service oriented architecture to achieve these goals. Providing personalized content recommendation services that recommend content relevant to the user irrespective of his location or access device is an important step in improving user experience. In this paper we investigate the use of a context aware recommendation service based on the cloud model.

Enhanced interworking of LTE and wi-fi direct for public safety

Mission-critical communications for public safety (PS) is of significant interest and a very high priority item for various organizations such as national regulatory agencies, telecom service providers, network vendors, device manufacturers, and third party public safety service providers. LTE has been selected as the next-generation platform to support new mission-critical realtime broadband services to the PS community [1]. To address high performance and seamless user experience, LTE networks interwork with Wi-Fi for direct communication. Wi-Fi Direct provides the ability to create groups for efficient dissemination of information needed for critical communication directly between devices. In realizing LTE for PS, it is also necessary to provide enhanced interworking between LTE and Wi-Fi for adequate emergency group communication. This article provides an overview of the PS-related efforts in 3GPP, interworking aspects of LTE, Wi-Fi and its application to PS, as well as a mechanism to enhance the interworking between the two technologies to deliver an effective solution for mission-critical communication and applications.

A Context Aware Personalized Media Recommendation System: An Adaptive Evolutionary Algorithm Approach

Smart devices and pervasive connectivity have lead to an increase in demand for providing intelligent personalized services that improve user experience. Providing personalized media recommendation services that recommend content relevant to the user is gaining prevalence. In this paper we investigate the use of context capture on the users devices as a method of learning all the user activity patterns and using these patterns to generate content recommendations. We propose a novel recommendation mechanism based on an evolutionary algorithm that evaluates new content based on multiple objectives. We show by way of simulation, improvements in the provided recommendations compared to traditional methods.

RDT an active monitor mode based reliable data transfer in wireless LAN

Ubiquitous sharing of content between users has become more prevalent over the years. The advent of smart devices like smart phones and tablets with high end processors has enabled their use in numerous processor intensive use cases that was not possible earlier. High definition streaming to multiple devices and multimedia based applications that require high performance are being considered on mobile devices. While the memory and processor speed of the devices has improved over the years to cater to such applications, the underlying wireless LAN technology has struggled to cope especially when the number of mobile devices is large. In this paper we investigate the use of reliable data transfer mechanism using an active monitor mode to improve the performance of reliable data transfer and streaming to a large number of mobile devices.