Model-driven Enterprise Systems Configuration

Enterprise Systems potentially lead to significant efficiency gains but require a well-conducted configuration process. A promising idea to manage and simplify the configuration process is based on the premise of using reference models for this task. Our paper continues along this idea and delivers a two-fold contribution: first, we present a generic process for the task of model-driven Enterprise Systems configuration including the steps of (a) Specification of configurable reference models, (b) Configuration of configurable reference models, (c) Transformation of configured reference models to regular build time models, (d) Deployment of the generated build time models, (e) Controlling of implementation models to provide input to the configuration, and (f) Consolidation of implementation models to provide input to reference model specification. We discuss inputs and outputs as well as the involvement of different roles and validation mechanisms. Second, we present an instantiation case of this generic process for Enterprise Systems configuration based on Configurable EPCs

Time-Space Efficient Regression Testing for Configurable Systems

Configurable systems are those that can be adapted from a set of options. They are prevalent and testing them is important and challenging. Existing approaches for testing configurable systems are either unsound (i.e., they can miss fault-revealing configurations) or do not scale. This paper proposes EvoSPLat, a regression testing technique for configurable systems. EvoSPLat builds on our previously-developed technique, SPLat, which explores all dynamically reachable configurations from a test. EvoSPLat is tuned for two scenarios of use in regression testing: Regression Configuration Selection (RCS) and Regression Test Selection (RTS). EvoSPLat for RCS prunes configurations (not tests) that are not impacted by changes whereas EvoSPLat for RTS prunes tests (not configurations) which are not impacted by changes. Handling both scenarios in the context of evolution is important. Experimental results show that EvoSPLat is promising. We observed a substantial reduction in time (22%) and in the number of configurations (45%) for configurable Java programs. In a case study on a large real-world configurable system (GCC), EvoSPLat reduced 35% of the running time. Comparing EvoSPLat with sampling techniques, 2-wise was the most efficient technique, but it missed two bugs whereas EvoSPLat detected all bugs four times faster than 6-wise, on average.Comment: 14 page

Lightweigth Adaptive fault-tolerant data storage system (AFTSYS)

Research group ARCOS of Universidad Carlos III de Madrid (Spain) have been working on flexible and adaptive data storage systems for several years. The storage systems developed are featured by software governance, making them portable across different hardware storage resources, and their dynamic adaptativy to the different circumstances of computer systems following the autonomic system paradigm. They also allow getting high performance storage by using data distribution or striping across multiple devices. One of the group’s technologies y the AFTSYS system. A fault-tolerant storage system for persistent distributed objects, user configurable and adaptive to system behaviour

Nonlinear parity-time-symmetric transition in finite-size optical couplers

Parity-time-symmetric ($\mathcal{PT}$-symmetric) optical waveguide couplers offer a great potential for future applications in integrated optics. Studies of nonlinear $\mathcal{PT}$-symmetric couplers present new possibilities for ultracompact configurable all-optical signal processing. Here, we predict nonlinearly triggered transition from a full to a broken $\mathcal{PT}$-symmetric regime in finite-size systems described by smooth permittivity profiles and, in particular, in a conventional discrete waveguide directional coupler configuration with a rectangular permittivity profile. These results suggest a practical route for experimental realization of such systems

On the User Perception of Configurable Reference Process Models - Initial Insights

Enterprise Systems potentially lead to significant efficiency gains but require a well-conducted configuration process. A configurable reference modelling language based on the widely used EPC notation, which can be used to specify Configurable EPCs (C-EPCs), has been developed to support the task of Enterprise Systems configuration. This paper presents a laboratory experiment on C-EPCs and discusses empirical data on the comparison of C-EPCs to regular EPCs. Using the Method Adoption Model we report on modeller’s perceptions as to the usefulness and ease of use of C-EPCs, concluding that C-EPCs provide sufficient yet improvable conceptual support towards reference model configuration

emgr - The Empirical Gramian Framework

System Gramian matrices are a well-known encoding for properties of input-output systems such as controllability, observability or minimality. These so-called system Gramians were developed in linear system theory for applications such as model order reduction of control systems. Empirical Gramian are an extension to the system Gramians for parametric and nonlinear systems as well as a data-driven method of computation. The empirical Gramian framework - emgr - implements the empirical Gramians in a uniform and configurable manner, with applications such as Gramian-based (nonlinear) model reduction, decentralized control, sensitivity analysis, parameter identification and combined state and parameter reduction

Chameleon C2HDL Design Tool In Self-Configurable Ultrascale Computer Systems Based On Partially Reconfigurable FPGAs

Proceedings of: Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015). Krakow (Poland), September 10-11, 2015.The FPGA-based accelerators and reconfigurable computer systems based on them require designing the applicationspecific processors soft-cores and are effective for certain classes of problems only, for which these soft-cores were previously developed. In Self-Configurable FPGA-based Computer Systems the challenge of designing the application-specific processors soft-cores is solved with use of the C2HDL tools, allowing them to be generated automatically. In this paper, we study the questions of the self-configurable computer systems efficiency increasing with use of the partially reconfigurable FPGAs and Chameleonc C2HDL design tool, corresponding to the goals of the project entitled "Improvement of heterogeneous systems efficiency using self-configurable FPGA-based computing" which is a part of the NESUS action. One of the features of the Chameleonc C2HDL design tool is its ability to generate a number of application-specific processors soft-cores executing the same algorithm that differ by the amount of FPGA resources required for their implementation. If the self-configurable computer systems are based on partially reconfigurable FPGAs, this feature allows them to acquire in every moment of its operation such a configuration that will provide an optimal use of its reconfigurable logic at a given level of hardware multitasking