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...
Abstract--We present a fault tolerant task pool execution environment that is capable of performing fine-grain selective restart using a lightweight, distributed task completion tr...
James Dinan, Arjun Singri, P. Sadayappan, Sriram K...
In this paper we describe the model used for the NewsWire collaborative content delivery system. The system builds on the robustness and scalability of Astrolabe to weave a peer-t...
Storage systems manage quotas to ensure that no one user can use more than their share of storage, and that each user gets the storage they need. This is difficult for large, dis...
Kristal T. Pollack, Darrell D. E. Long, Richard A....
Secret sharing algorithms have been used for intrusion tolerance, which ensure the confidentiality, integrity and availability of critical information. However, dynamically changi...