# A Multi-Usable Cloud Service Platform: A Case Study on Improved Development Face and Efficiency
## 4 A Multi-Usable Cloud Service Platform and the Case Study's Three Contexts
### Recycling Management Context  
The company provides a recycling IPS\({}^{2}\) to municipalities and companies who are responsible for managing recycling containers. The containers are mainly for households and are used to deposit glass, plastics, paper, packaging materials and metals. The main idea is to optimize the emptying of these containers as they are almost filled up (but not over-filled) to avoid people putting what is returned outside of the containers (i.e., littering) when they are over-filled. Further, the waste management company wishes to avoid emptying containers that do not need to be emptied. Thus, the waste management company wants to empty the containers on-demand and to minimize unnecessarytransports with trucks in areas with high traffic loads as well as in rural areas (long distances). Figure 2 outlines a general overview of the IPS\({}^{2}\), of which the aim is to provide decision-making information to the customers with high availability. Further, Figure 3 shows how the architecture is used/adapted for the recycling management context. On the service-providing system side, the containers and their sensors are connected to the cloud service platform and on the service-consuming system side, the output from the cloud service (i.e., decision-making information) can be consumed/accessed through the browser in a mobile phone, notepad or lap-top, etc. or be further processed in other information systems on the customer side. Figure 3: Architecture used/adapted for a recycling management context. Figure 2: General outline of the Industrial Product-Service Systems (IPS\({}^{2}\)) for optimizing recycling management. The adaption of the architecture for the construction and pre-fabrication as well as real estate contexts are made in the same manner, re-using/sharing all the business functionality from the recycling management context and its implementation. The IPS2 is built on the industrial internet and IoT paradigms. The IPS2 uses sensors to measure the filling level within containers, vibrations (to indicate emptying), as well as temperature (to adjust filling-level measurements and indicate/detect possible fires) and other wanted parameters. Further, the IPS2 pre-processes data to minimize data flows, uses wireless communications (mainly mobile networks or WLANs), provides a cloud service for data collection and analysis of big data, and performs additional wanted data mining and visualization of results (such as which containers should be emptied). The IPS2-components attached to the grid are powered by green electricity (hydropower) and the cloud service is run in green data centers (powered by green electricity and cooled by the low-temperature air in northern Sweden). Figure 4 shows how some of the decision-making information is visualized for managers at the customers. Consequently, the customers need to change their processes and management to be able to fully benefit from the decision-support provided--in order to achieve good optimization. Using the information provided in Figure 4, the managers concerned with managing the recycling get information about which containers need to be emptied (or will soon need to be emptied). Further, the managers are supported when planning optimal routes and dispatching an optimal number of trucks. Figure 5 provides graphs about the filling details when the managers click on the containers in Figure 4.  
In addition, to make it simple, another status indicator is possible to add in the decision-making information as well. Figure 6 is commonly configured so that the green container is less than 50% filled up, the yellow between 50-80% and the red at +80% (thus indicating that emptying is needed soon). A prognosis for which containers will reach +80% within 4-5 days can be calculated based on the filling patterns. Further, a graphic or numeric filling report can be issued or retrieved for each customer's containers and filling-levels. In addition, commonly the filling-levels green/yellow/red can be customized at wanted thresholds for each customer.