A review of experiences with reliable multicast
Software—Practice & Experience
Performance Analysis of Java Group Toolkits: A Case Study
FIDJI '01 Revised Papers from the International Workshop on Scientific Engineering for Distributed Java Applications
Implementing the Swiss Exchange Trading System
FTCS '97 Proceedings of the 27th International Symposium on Fault-Tolerant Computing (FTCS '97)
Appia: A Flexible Protocol Kernel Supporting Multiple Coordinated Channels
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Garbage-first garbage collection
Proceedings of the 4th international symposium on Memory management
Versioned transactional shared memory for the FénixEDU web application
Proceedings of the 2nd workshop on Dependable distributed data management
AKARA: A Flexible Clustering Protocol for Demanding Transactional Workloads
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
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Communication of large data volumes is a core functionality of distributed systems middleware, namely, for interconnecting components, for distributed computation and for fault tolerance. This common functionality is however achieved in different middleware platforms with various combinations of operating system and application level protocols, both standardized and ad hoc, and including implementations on managed runtime environments such as Java. In this paper, in contrast with most previous work that focus on performance, we point out that architectural and implementation decisions have an impact in throughput stability when the system is heavily loaded, precisely when such stability is most important. In detail, we present an experimental evaluation of several communication protocol components under stress conditions and conclude on the relative merits of several architectural options.