An Integration and Mining of Multiple-Source Data for Real-Time Services

The technique that has been presented tackles and resolves problems that have previously impeded the retrieval of a variety of Internet of Things services. Users are taken through the planned architecture that will enable them to get the required services from the cloud. The form collects data on the user’s identity, location, service requirements, and the anticipated length of time spent waiting for service. The requests are categorized and placed in one of three different queues based on the length of time they have been waiting. We are able to respond more rapidly to requests that have reduced wait periods. At time T1, each and every request that was made is processed further in order to provide services. If the demands of two different users are the same, then the information about their location and the service they want will be integrated into a single request. This procedure is carried out in order to consolidate requests of a similar kind. In spite of the fact that the request is given more priority for speed, it nevertheless satisfies all requests coming from all users. To begin, let’s have a look at the many types of services that may be located in response to a request that has been made. In the research that we advise doing, we zero in on three distinct types of cloud storage services. The provision of services in the areas of medical, agriculture, and the environment are the three major categories. Each domain receives its own unique ontology, which is followed by the combining of disjoint nodes via the use of estimations of domain relevance and axiom similarity. After that, an ontology weights index is constructed with the help of the annotation. An index table is being constructed that will include user input about the quality of each service supplied by the top supplier. The cloud storage is responsible for maintaining the index of each and every domain. Indexes are compiled for every service in order to make it easier to conduct searches.