Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Abox inference is an important part in OWL data management. When involving large scale of instance data, it can not be supported by existing inference engines. In this paper, we p...
The migration from desktop applications to Web-based services is scattering personal data across a myriad of Web sites, such as Google, Flickr, YouTube, and Amazon S3. This disper...
Roxana Geambasu, Cherie Cheung, Alexander Moshchuk...
Abstract--With the ever-increasing wireless/wired data applications recently, considerable efforts have focused on the design of distributed explicit rate flow control schemes for ...
Naixue Xiong, Athanasios V. Vasilakos, Laurence Ti...
—In this paper we investigate the issues in designing key management architecture for secure multicasting in remote software distribution to advance vehicles. We consider the Veh...