Orlando Tools: Development, Training, and Use of Scalable Applications in Heterogeneous Distributed Computing Environments

• Published in: High Performance Computing Vol. 979; pp. 265 - 279
• Main Authors: Tchernykh, Andrei, Feoktistov, Alexander, Gorsky, Sergei, Sidorov, Ivan, Kostromin, Roman, Bychkov, Igor, Basharina, Olga, Alexandrov, Vassil, Rivera-Rodriguez, Raul
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer International Publishing
• Series: Communications in Computer and Information Science
• Subjects: Cloud; Distributed computing; Grid; HPC-cluster; Scalable application; Toolkit; Training
• ISBN: 3030162044; 9783030162047
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-030-16205-4_20

We address concepts and principles of the development, training, and use of applications in heterogeneous environments that integrate different computational infrastructures including HPC-clusters, grids, and clouds. Existing differences in the Grid and cloud computing models significantly complicate problem-solving processes in such environments for end-users. In this regards, we propose the toolkit named Orlando Tools for creating scalable applications for solving large-scale scientific and applied problems. It provides mechanisms for the subject domain specification, problem formulation, problem-solving time prediction, problem-solving scheme execution, monitoring, etc. The toolkit supports hands-on training skills for end-users. To demonstrate the practicability and benefits of Orlando Tools, we present an example of the development and use of the scalable application for solving practical problems of warehouse logistics.