In 2017, JCL became a hybrid middleware solution, e.g., a solution for IoT applications, IoT with HPC requirements applications, HPC applications and for HPC with IoT requirements applications. Platforms with Java 8 and Android, but also the Arduino platform are now supported by JCL. The domain www.javacaela.org and the new JCL website are finally online. The team has now two high-school students, one master's degree student and eight undergraduate students. Several investigation themes started: i) JCL dashboard application to monitor JCL cluster visually; ii) JCL application for OLAPing over clusters composed of GPUs and CPUs things; iii) JCL Graph, a Java library designed for massive graph-storage and graph-processing; iv) JCL application for text classification; v) JCL application of financial analysis of Bovespa historical data, vi) JCL optimization solver for huge instances of P, NP and NP-Complete problems, and vii) JCL application for DNA, RNA and protein sequence alignments. Leonardo, the second master student in JCL, graduated in 2017. Estevão graduated in Computer Science undergraduate course. Two new papers about JCL were accepted in SBESC symposium and two other papers are under review in top-quality journals. A JCL proposal was submitted to Serrapilheira institution to raise funds for equipments and scholarships.