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The proceedings of the Workshop on the Management of Replicated Data, held in Houston, November 1990, comprise sessions on implementations, kernel support for replicated data, weak consistency and semantics, replication control, replication strategies, the future of replication control, communicatio
The use of modern planning and optimization systems for process synchronization in value networks requires the optimal information exchange between the entities involved. The central focus of Sven Grolik's study is the development of efficient mechanisms for the coordination of information allocation by the example of interconnected transportation marketplaces. Unlike traditional information allocation algorithms, the algorithms developed in his analysis are based on update mechanisms which maintain a weak consistency of replicated information in the network. Sven Grolik shows that these algorithms enable savings concerning the update costs as well as increase the performance within the network, but at the same time guarantee compliance with quality of service levels concerning the currency of information. The focus of this work is the development of decentralized, online algorithms which make a logically distributed computation possible on the basis of local information. The development of these innovative algorithms is based on approaches of multi-agent system theory as well as distributed simulated annealing techniques.
The proceedings of a conference on the management of data. The book contains 37 selected papers and summaries of panel discussions and video presentations, covering new ideas in database technology.
Abstract: "Replicating a data object improves the availability of the data, and can improve access latency by locating copies of the object near to their use. When accessing replicated objects across an internetwork, the time to access different replicas is non-uniform. Further, the probability that a particular replica is inaccessible is much higher in an internetwork than in a local-area network (LAN) because of partitions and the many intermediate hosts and networks that can fail. We report three replica-accessing algorithms which can be tuned to minimize either access latency or the number of messages sent. These algorithms assume only an unreliable datagram mechanism for communicating with replicas. Our work extends previous investigations into the performance of replication algorithms by assuming unreliable communication. We have investigated the performance of these algorithms by measuring the communication behavior of the Internet, and by building discrete-event simulations based on our measurements. We find that almost all message failures are either transient or due to long-term host failure, so that retrying messages a few times adds only a small amount to the overall message traffic while improving both access latency as long as the probability of message failure is small. Moreover, the algorithms which retry messages on failure provide significantly improved availability over those which do not."