The selection of an ecotourism destination is a challenging service in online transaction. process must consider personal considerations, such as costs or distance and interesting eco-points like specific sceneries the rare unique picturesque landscapes. Only few tourists have required information for any particular local resources. A proposed recommender system solution to get advice on approp...

Scale-out parallel processing based on MPI is a 25-year-old standard with at least another decade of preceding history of enabling technologies in the High Performance Computing community. Newer frameworks such as MapReduce, Hadoop, and Spark represent industrial scalable computing solutions that have received broad adoption because of their comparative simplicity of use, applicability to relev...

Big data applications in healthcare have provided a variety of solutions to reduce costs, errors, and waste. This work aims develop real-time system based on big medical processing the cloud for prediction health issues. In proposed scalable system, parameters are sent Apache Spark extract attributes from apply machine learning algorithm. this way, risks can be predicted as alerts recommendatio...