Rate limiting in API management

With ever growing usage of World Wide Web, number of requests to web APIs is increasing rapidly. DoS attacks and service abuses are becoming easier to execute, and more common every day. Quality of service is becoming more important as competition is rising. To build robust and reliable services, software engineers have to take this into account when designing web APIs, to deliver end users with a pleasant and reliable experience. In this thesis we delve into rate limiting in web API management to deal with those problems on scale. We propose an approach to rate limiting when request weighting is key, and cannot be estimated/calculated upfront. We show how integration of such approach into a real working system can help in achieving high stability and performance improvements, while unlocking some advanced API monetisation opportunities

Quality of service modeling and analysis for carrier ethernet

Today, Ethernet is moving into the mainstream evolving into a carrier grade technology. Termed as Carrier Ethernet it is expected to overcome most of the\ud shortcomings of native Ethernet. It is envisioned to carry services end-to-end serving corporate data networking and broadband access demands as well as backhauling wireless traffic. As the penetration of Ethernet increases, the offered Quality of Service (QoS) will become increasingly important and a distinguishing factor between different service providers. The challenge is to meet the QoS requirements of end applications such as response times, throughput, delay and jitter by managing the network resources at hand. Since Ethernet was not designed to operate in large public networks it does not possess functionalities to address this issue. In this thesis we propose and analyze mechanisms which improve the QoS performance of Ethernet enabling it to meet the demands of the current and next generation services and applications.\u