Approach of a UML Profile for Berkeley Open Infrastructure for Network Computing (BOINC)
Despite the current enormous hype and popularity of Grid Computing environments like Amazons EC2 or Microsoft’s Windows Azure, there exist open-source and free of cost software frameworks which allow to create high performance computing installation by means of Public Resource Computing (PRC). One PRC framework is BOINC (Berkeley Open Infrastructure for Network Computing) for solving large scale and complex computational problems. Each computer works on its own workunits independently from each other and sends back its result to a project server. Installing, configuring, and maintaining a BOINC based project however is a highly sophisticated task.
Scientists and developers need a lot of experience regarding the underlying communication and operating system technologies, even if only a handful of BOINC related functions are actually needed for most applications. In this paper we present a Unified Modeling Language (UML) profile for BOINC called Visu@lGrid profile (VGP). A BOINC project installation for one or more hosts, a role-based access control, and modeling of scientific application is feasible by use of VGP. Based on our approach we provide a specification that allows the creation of BOINC projects with less development and implementation effort.
Computer and Systems Architecture | Computer Engineering | Digital Communications and Networking | Hardware Systems | Systems and Communications
Ries, C.B., Schröder, C. & Grout, V. (2011), 'Approach of a UML Profile for Berkeley Open Infrastructure for Network Computing (BOINC)’. [Paper presented to the 2011 IEEE Conference on Computer Applications and Industrial Electronics (ICCAIE 2011) Conference held at Parkroyal Penang Resort Hotel, Penang, Malaysia 4-7th December 2011]. Published in the conference proceedings pages 483-488.
Digital Commons Citation
Ries, Christian Benjamin; Schröder, Christian; and Grout, Vic, "Approach of a UML Profile for Berkeley Open Infrastructure for Network Computing (BOINC)" (2011). Computing. Paper 85.