Parallelism, Adaptation and Flexible Data Access in On-demand ERP Systems
نویسندگان
چکیده
On-premise enterprise resource planning (ERP) systems are costly to maintain and adapt to specific needs. To lower the cost of ERP systems an on-demand consumption model can be employed. This requires ERP systems to support multi-tenancy and multi-threading to enable consolidation of multiple businesses onto the same operational system. To simplify the adaptation of ERP systems to customer-specific requirements the former must natively support extensions, meaning that customer-specific behavior must be factored out from a system and placed into an extension module. In this paper we propose the architecture of an ERP system that i) exploits parallelism and ii) is able to accommodate custom requirements by means of enterprise composite applications. We emphasize the importance of ERP data accessibility and contribute with a concept of business object query language that allows building fine-grained queries. All suggestions made in the paper have been
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