Abstract
Electronic commerce applications have strict timing constraints on the interactions between e-commerce servers and customers. Customers prefer real-time services, which mean immediate response from the server shortly after submission of a request. This trend of demand gives e-commerce servers high pressure, both on the software and the architecture they currently use. In this paper, we propose a real-time architecture for e-commerce servers that addresses the problem efficiently. We adopt a framework that permits the appropriate treatment of dynamic behaviours that are data interdependent, and reasoning about the communication protocols and internal mechanisms of client / server relationships in a real-time multi-agents based e-commerce application architecture.
Highlights
Characteristics of Electronic Commerce SystemsE-commerce systems enable customers to make online purchases. A typical ordering process in business-tocustomer e-commerce systems allows customers to search and find items to purchase, negotiate the price of items, add items to a shopping cart, checkout items (i.e., purchase items), and pay for items purchased; the system allows e-commerce merchants to update their inventory, verify customers' payment methods and plan logistics for shipping items to the customer
We present the design of real-time multiagents e-commerce servers’ architecture, which includes the components of real-time multi-agents architecture (e.g., RTCustomerAgent, RTCardProcessingAgent, RTBankAgent, RTSearchingAgent, RTReportingAgent, RTWarehouseAgent, and RTShippingAgent) and how real-time communication is achieved by adding timing constraints / requirements
Reasoning about the communication protocols and internal mechanisms of client / server relationships in a real-time multi-agents based e-commerce application architecture
Summary
E-commerce systems enable customers to make online purchases. A typical ordering process in business-tocustomer e-commerce systems allows customers to search and find items to purchase, negotiate the price of items, add items to a shopping cart, checkout items (i.e., purchase items), and pay for items purchased; the system allows e-commerce merchants to update their inventory, verify customers' payment methods and plan logistics for shipping items to the customer. According to Ehikioya[12], the complexity of e-commerce systems results from the concurrent, distributed, dynamic, and real-time behaviour and complex data access patterns of ecommerce transactions:. When e-commerce transactions occur, various database tables are updated, changing the database state In ecommerce systems, this dynamic behaviour results in data dependencies as well as the need for proper synchronization and communication among the various subcomponents of the system. The propagation of access rights to data must be controlled while each autonomous domain enforces its security provisions Besides this type of data access patterns complexity, an e-commerce transaction can be nested, thereby creating complex data serialization rules. E-commerce applications provide various back-end transactional processing and information access services across many heterogeneous databases and different networks which requires complex data access and interaction relationships in order to fulfill a discrete e-commerce objective. These attributes will not be discussed in this paper
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