Faria Kalim

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
We have designed and developed a smart phone application that measures shocks and vibrations when it finds itself on the road in order to map and measure the locations of potholes and speed breakers. Simultaneously, it also measures the vehicle’s speed in order to measure traffic congestion as a function of the number of users at a particular location and(More)
Spark Streaming discretizes streams of data into micro-batches, each of which is further sub-divided into tasks and processed in parallel to improve job throughput. Previous work [2, 3] has lowered end-to-end latency in Spark Streaming. However, two causes of high tail latencies remain unaddressed: 1) data is not load-balanced across tasks, and 2) straggler(More)
Edge computing caters to a wide range of use cases from latency sensitive to bandwidth constrained applications. However, the exact specifications of the edge that give the most benefit for each type of application are still unclear. We investigate the concrete conditions when the edge is feasible, i.e., when users observe performance gains from the edge(More)
  • 1