Non-functional Property Evaluation Research Articles

EWnFM: An Environment States Oriented Web Service Non-Functional Property Model

A proper model of Web service non-functional properties is the key foundation to the evaluation of non-functional properties of Adaptive Service Based Software (ASBS) systems. As the environment in which a Web service is deployed may keep changing, environmental factors would affect the non-functional properties of a Web service a lot. However, available non-functional property models usually ignore the impact of environmental factors, leading to insufficient modeling power of non-functional properties, limited effect of system wide non-functional property evaluation based on these models, and the inability to support environment states oriented specifications of ASBS. This paper propose an environment states oriented Web service non-functional property model. By considering the differences of a non-functional property under different environment states, environment states of a Web service is analyzed using a Dirichlet process based method. With such a foundation, an environment states oriented Web service non-functional property model is introduced, together with the parameter estimation methods based on historical monitor data. Experiment results have shown that compared to the evaluated methods, our model could generate data that are much close to real monitored data.

MAESTRO— Holistic Actor-Oriented Modeling of Nonfunctional Properties and Firmware Behavior for MPSoCs

Modeling and evaluating nonfunctional properties such as performance, power, and reliability of embedded systems are tasks of utmost importance. In this article, we introduce M AESTRO , a methodology for the modeling and evaluation of nonfunctional properties and embedded firmware of MPSoC architecture components at the Electronic System Level (ESL). In contrast to existing design flows that provide predefined performance models, M AESTRO defines a flexible approach that allows to define virtual prototypes that can be easily customized and extended to evaluate multiple nonfunctional properties of interest at different levels of abstraction. In M AESTRO , a design is composed purely from actor-oriented models. This enables typical ESL features such as automatic design space exploration and synthesizability of HW and SW components, typically missing in very general design flows. Unique to M AESTRO is the separation and coordination of the interaction between application functionality, firmware, and performance models for the evaluation of nonfunctional properties, and their complex interactions within a single Model-of-Computation (MoC). The main advantages of M AESTRO are: (I) Extensible modeling of interdependent nonfunctional properties of heterogeneous MPSoC components; (II) high flexibility to investigate the appropriate trade-off between modeling effort and accuracy of nonfunctional property evaluators; (III) a holistic approach for modeling application functionality as well as firmware affecting the evaluation of nonfunctional properties. Regarding (II), we present a mobile baseband processor platform use-case, executing a GSM paging application. To demonstrate (I) and (III), we present the modeling of a complex ESL processor virtual prototype, running a soft real-time application and equipped with both a power and reliability manager.

A Novel User-based Web Services Evaluation and Selection Model

Abstract—Evaluation of non-functional properties (NFP) of web services is of crucial importance to successful service selection. Current web services evaluation methods have not realized that evaluation of each NFP should be in accordance with its inherent character, nor have they taken the complex requirements of users on multiple NFPs into consideration. Service which can best meet the demands of users could not be chosen based on existing web services evaluation methods. To address this problem, a novel evaluation and selection model for web services based on users is proposed in this paper. The proposed model considers all possible requirements on each NFP, and employs degree of membership, fuzzy judgment theory, probabilistic statistical method as well as the TOPSIS multi-attribute decision making method based on the hosted mathematical property for each NFP. Fuzziness sub-model F and Randomness sub-model R are established, followed with Certainty sub-model C, which finally realizes comprehensive evaluation and selection of services. Simulation results demonstrate that the proposed model can effectively select an appropriate service according to the user's requirements.