Department Publications

Packet Classification is the enabling function for many Internet functions like QoS and Security. In this paper we propose a Classification engine architecture which exploits parallelism to increase throughput. The architecture also make use of the Temporal locality observed in Internet traffic positively by employing Popular Rule Caching mechanism to increase the classification throughput. We also introduce Rule Splitting mechanism to increase the accuracy of the rule caching mechanism. Simulation results revealed that the architecture is capable of achieving a throughput of more than 200Gbps when lowest amount of temporal locality is present for worst case packet size of 40 bytes.

The growth of the Sri Lankan healthcare sector is a necessity at this stage due to an increasingly ageing community and a significant increase in non-communicable diseases. Despite many regulations that given the sector, it continues to be inundated with many problems in relation to delivery of healthcare services./ Although the state is a prominent player in the industry, private sector healthcare facilities provide curative out patitent care to 60% of the population in the country. The World Health Organisation strategic agenda, Strategic Framework for Health Development in Sri Lanka as well as the Health Master Plan had highlighted the necessity of Information Systems for improved service delivery in the sector./ The existing Information Systems with it's administrative and financial bias has failed to add value in the interaction between the healthcare worker and the patient. The study investigates the possible …