| dc.description.abstract | The increased adoption of electronic commerce for product and service allows companies
to use a new channel between consumers and vendors. This communication channel for sales is traditionally held through investments in e-commerce platforms. In the current scenario, each company acquires or develops its own e-commerce platform. This method has a high cost and slows the entry of small companies in the communication channel. In this context, this work proposes a shared service for supply and demand publishing, which allows the identification of business opportunities based on user’s location. Unlike related works studied, the model is designed to take advantage of the features offered by cloud computing, such as easy provisioning and low-cost. Furthermore, the model performs the matching between supply and demand using processing strategies in a hierarchical organization, based on regions. We implemented a prototype based on this model, called GTTracker, to understand how the designed servisse performs on scalable virtualized resources. The focus of this assessment is profiling the infrastructure resources consumption, employing scenarios with different access patterns. The
experiments demonstrated which mechanisms, used in the service, can reduce the resources consumption. Moreover, the evaluation shows an increase in the performance of GTTracker. The evaluation shows that managers can deploy the application gradually, using a low-cost platform. Additionally, GTTracker provides a channel of communication accessible to those users looking to buy or sell products wherever they are and at anytime, using a mobile device. | en |
