Number of co-authors:24
Number of publications with 3 favourite co-authors:Philippe De Smedt:William Kent:Rafi Ahmed:
Ming-Chien Shan's 3 most productive colleagues in number of publications:Fabio Casati:15Umeshwar Dayal:14Weimin Du:3
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Publications by Ming-Chien Shan (bibliography)
Casati, Fabio, Shan, Eric, Dayal, Umeshwar and Shan, Ming-Chien (2003): Business-oriented management of Web services. In Communications of the ACM, 46 (10) pp. 55-60. Available online
Du, Weimin, Davis, Jim and Shan, Ming-Chien (1997): Flexible Specification of Workflow Compensation Scopes. In: Payne, Stephen C. and Prinz, Wolfgang (eds.) Proceedings of the International ACM SIGGROUP Conference on Supporting Group Work 1997 November 11-19, 1997, Phoenix, Arizona, USA. pp. 309-316. Available online
This paper addresses specification issues of workflow process compensation. The main consideration is to reduce the number of workflow activities that have to be compensated and re-executed when a failure occurs, as both can be very expensive. The main contribution of the paper is flexible compensation scoping strategies that allows process designers to specify compensation scopes in a simple way based on data dependencies between workflow activities. The specification helps the workflow engine to avoid unnecessary compensation at run time. The proposed techniques are simple to implement, but also have the potential of significantly reducing compensation overhead.
© All rights reserved Du et al. and/or ACM Press
Ahmed, Rafi, Smedt, Philippe De, Du, Weimin, Kent, William, Ketabchi, Mohammad A., Litwin, Witold, Rafii, Abbas and Shan, Ming-Chien (1991): The Pegasus Heterogeneous Multidatabase System. In IEEE Computer, 24 (12) pp. 19-27.
Fishman, D. H., Beech, D., Cate, H. P., Chow, E. C., Connors, T., Davis, J. W., Derrett, N., Hoch, C. G., Kent, W., Lyngbaek, Peter, Mahbod, B., Neimat, M. A., Ryan, T. A. and Shan, Ming-Chien (1987): Iris: An Object-Oriented Database Management System. In ACM Transactions on Information Systems, 5 (1) pp. 48-69.
The Iris database management system is a research prototype of a next-generation database management system (DBMS) intended to meet the needs of new and emerging database applications, including office information and knowledge-based systems, engineering test and measurement, and hardware and software design. Iris is exploring a rich set of new database capabilities required by these applications, including rich data-modeling constructs, direct database support for inference, novel and extensible data types, for example, to support graphic images, voice, text, vectors, and matrices, support for long transactions spanning minutes to many days, and multiple versions of data. These capabilities are, in addition to the usual support for permanence of data, controlled sharing, backup, and recovery. The Iris DBMS consists of (1) a query processor that implements the Iris object-oriented data model, (2) a Relational Storage Subsystem (RSS) -like storage manager that provides access paths and concurrency control, backup, and recovery, and (3) a collection of programmatic and interactive interfaces. The data model supports high-level structural abstractions, such as classification, generalization, and aggregation, as well as behavioral abstractions. The interfaces to Iris include an object-oriented extension to SQL.
© All rights reserved Fishman et al. and/or ACM Press
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