Distributed applications require information to effectively utilize the network. Some of the information they require is the current and maximum bandwidth, current and minimum latency, bottlenecks, burst frequency, and congestion extent. This type of information allows applications to determine parameters like optimal TCP buffer size. In this paper, we present a cooperative information-gatherin...

Traffic bottlenecks are a set of road segments that have an unacceptable level traffic caused by poor balance between capacity and volume. A huge volume trajectory data which captures realtime conditions in networks provides promising new opportunities to identify the bottlenecks. In this paper, we define problem as trajectory-driven bottleneck identification : Given network R , database T find...

An accurate container throughput forecast is vital for any port. Since overall improvements in port performance and competitiveness can be derailed by bottlenecks, ports need to find leverage identify prioritize measures improve weak key indicators (KPIs) attain growth opportunities. Prior studies had modeled from socio-economic projection factors. This study aims provide a practical method for...

Over the past decade, we have witnessed exponential growth in the density (petabyte-level) and breadth (across geo-distributed datacenters) of data distribution. It becomes increasingly challenging but imperative to minimize the response times of data analytic queries over multiple geo-distributed datacenters. However, existing scheduling-based solutions have largely been motivated by pre-estab...