ENABLING GENERIC DISTRIBUTED COMPUTING INFRASTRUCTURE COMPATIBILITY FOR WORKFLOW MANAGEMENT SYSTEMS

Solving workflow management system’s Distributed Computing Infrastructure (DCI) incompatibility and their workflow interoperability issues are very challenging and complex tasks. Workflow management systems (and therefore their workflows, workflow developers and also their end-users) are bounded tightly to some limited number of supported DCIs, and efforts required to allow additional DCI support. In this paper we are specifying a concept how to enable generic DCI compatibility for grid workflow management systems (such as ASKALON, MOTEUR, gUSE/WS-PGRADE, etc.) on job and indirectly on workflow level. To enable DCI compatibility among the different workflow management systems we have developed the DCI Bridge software solution. In this paper we will describe its internal architecture, provide usage scenarios to show how the developed service resolve the DCI interoperability issues between various middleware types. The generic DCI Bridge service enables the execution of jobs onto the existing major DCI platforms (such as Service Grids (Globus Toolkit 2 and 4, gLite, ARC, UNICORE), Desktop Grids, Web services, or even cloud based DCIs)

Interoperability of BOINC and EGEE

Today basically two types of grid systems are in use: service grids and desktop grids. Service grids offer an infrastructure for grid users, thus require notable management to keep the service running. On the other hand, desktop grids aim to utilize free CPU cycles of cheap desktop PCs, are easy to set up, but the availability towards users is limited compared to the service grid. The aim of the EDGeS project is to create an integrated infrastructure that combines the advantages of the two grid concepts. A building block of this infrastructure is bridging between the different grid types. In this paper, we first focus on bridging from BOINC-based desktop grids towards EGEE-like service grids, i.e., making desktop grids able to utilize free service grid resources. The solution is based on a generic grid to grid bridge, called as, 3G Bridge. In the second part of the paper we show how the 3G Bridge and EDGeS Bridge services can be used to realize the reverse direction interconnection of BOINC and EGEE grids, i.e., sending EGEE jobs in a user transparent way to BOINC systems that are connected to EGEE VOs. This is the first paper in which we publish the full two-directional bridging between BOINC and EGEE grids