Several recent studies have proposed methods to accelerate the receipt of a file by downloading its parts from different servers in parallel. The schemes suggested in most proposed parallel download approaches focus on reducing the total download duration. For streaming applications a more crucial performance issue is the regularity of flow of data to the application. Burstiness in data arrival implies longer playback delays, a higher probability of interruption at the application and larger required memory space for resequencing, which is undesirable and may becomeprohibitiveformobiledeviceswithlimitedresources.Thispaperformulatesmodelsforanapproachbasedon receiving only one copy of each of the data blocks in a file, while different data blocks may be obtained from different sources. This approach allows more robust download rates even when the conditions for each server/path used may change rapidly. In the parallel download scenario, out-of-order arrivals at the receiving side are u...