GAUGE: Grid Automation and Generative Environment

Abstract

SUMMARYThe Grid has proven to be a successful paradigm for distributed computing. However, constructing applications that exploit all the benefits that the Grid offers is still not optimal for both inexperienced and experienced users. Recent approaches to solving this problem employ a high-level abstract layer to ease the construction of applications for different Grid environments. These approaches help facilitate construction of Grid applications, but they are still tied to specific programming languages or platforms. A new approach is presented in this paper that uses concepts of domain-specific modeling (DSM) to build a high-level abstract layer. With this DSM-based abstract layer, the users are able to create Grid applications without knowledge of specific programming languages or being bound to specific Grid platforms. An additional benefit of DSM provides the capability to generate software artifacts for various Grid environments. This paper presents the Grid Automation and Generative Environment (GAUGE). The goal of GAUGE is to automate the generation of Grid applications to allow inexperienced users to exploit the Grid fully. At the same time, GAUGE provides an open framework in which experienced users can build upon and extend to tailor their applications to particular Grid environments or specific platforms. GAUGE employs domain-specific modeling techniques to accomplish this challenging task.

Presenting Scientific Legacy Programs as Grid Services via Program Synthesis

“…Many Grid projects [19]- [21] provide middleware services that further extend this basic execution management capabilities with functionality for selection, scheduling, allocation or filestaging. A set of related efforts [22]- [24] to mention just a few aims at easing the execution of legacy programs on the Grid with specialised generic middleware execution services that work based on user-provided descriptions.…”

An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications

“…A recent study in the context of the CO 2 P 3 S [59] parallel pattern-based language has shown that generative programming approaches contribute to increment the productivity of parallel software development [60]. Therefore, we could evaluate the implications of using EasyFJP and its parallelization model for implementing parallel software compared to generative programming approaches like CO 2 P 3 S and the GAUGE Grid system [45] by conducting a controlled case study that takes into account productivity as well as human factors.…”

Designing Service-Based Resource Management Tools for a Healthy Grid Ecosystem

“…The engine is light-weight in that it focuses only on workflow execution and the corresponding state management. This project builds on experiences gained while developing the Grid Automation and Generative Environment (GAUGE) [19,17].…”