Optimistic transaction processing algorithms in pure-push and adaptive broadcast environments

Considering the properties of mobile computing environments, push-based data dissemination systems have lately attracted considerable interest. However, the skewed access pattern of mobile clients makes the average wait time worse and they may want to request the data object to the server explicitly through the backchannel. We call the broadcast model supporting backchannels adaptive broadcast. We devise new algorithms for adaptive broadcast based on our previous works; that is, we divide data objects which the server maintains into push-data and pull-data. Clients have to explicitly request data objects in pull-data. Maintaining transactional consistency in both pure-push and adaptive broadcast environment is our main concern. We also evaluate the performance behavior through a simulation study.