Cui Lizhen

Customization modeling based on metagraph for multi-tenant applications

Software as a Service (SaaS) is a new software delivery model. More and more companies are offering their software by following it. In contrast to earlier attempts of application service provisioning, the SaaS delivery model is focused on exploiting economies of scale by offering the same instance of an application to as many customers, i.e. supporting multi-tenants. As well understand, the delivery model of SaaS does not allow the SaaS vendor to develop and maintain a version of application code for each individual customer, SaaS applications have to be customizable to fulfill the varying functional and quality requirements of individual tenants. In this paper, we propose variability modeling based on metagraph support SaaS providers in managing the variability for configuration and customization of SaaS applications. This novel approach can systematically describe variability points and their relationships, and assure the quality of the configuration inputs made by the customers.

UI Ripping in Android: Reverse Engineering of Graphical User Interfaces and its Application

Android applications are user interaction intensive programs, that makes UI become an indispensable part of mobile applications. UI also reflects information, such as the functions of applications, that makes the study of Android UI very significant. We design a UI modeling method based on attribute graph by the technology of reverse engineering and program analysis for applications on Android. The proposed method is also applied to malware repackage detection and evaluation of the application family resemblance. This method depicts Widgets consisted in UI and relationships between UIs, based of the assumption that 1) repackaged applications are similar on UI and 2) functions and appearances are highly similar between the members of families. Our method achieves 94.74% success rate at UI model and detects 2231 (26.13%) repackaged applications discovering around 50.0% applications have the exact same UI. The result shows that the UI modeling method helps develop more comprehensive application to detect repackaged applications include malicious ones.

A new paradigm for personalized mashup recommendation based on dynamic contexts in mobile computing environments

With the rapid development of mobile Internet and increasing number of intelligent terminals, Internet services are now integrated into peoples daily lives. In mobile computing environments, challenges have emerged for unprofessional user oriented mashup servers with new features, such as dynamic contexts and user preference. In this paper, we focus on the entire construction process rather than individual service recommendation for mashups, and propose a context-based and user preference-based autonomous construction approach for mashups. The main idea is to construct a context- and preference-related conditional probability model for user behavior patterns based on pattern mining of historical mashup logs, which can provide support for the generation of optimal personalized mashup solutions and also recommend suitable web components. Analysis and simulation experiments conducted indicate that the proposed approach can autonomously generate personalized mashups with quality components without dependence on user professionalism.

A QoS-Aware Hyper-graph Based Method of Semantic Service Composition

Semantic service composition is an important issue in web service based systems. It is about how to build a new, reusable and value-added service by combining existing semantic web services. In this paper we propose a new hyper-graph based method supporting semantic service composition, which model the service composition problem as a hyper-graph. Then the hyper-graph based service composition algorithm has been implemented and evaluated. The evaluation results have shown that the method can effectively reduce the composition time and has good robustness, especially in the case of large number of web services and concepts.Semantic service composition is an important issue in web service based systems. It is about how to build a new, reusable and value-added service by combining existing semantic web services. In this paper we propose a new hyper-graph based method supporting semantic service composition, which model the service composition problem as a hyper-graph. Then the hyper-graph based service composition algorithm has been implemented and evaluated. The evaluation results have shown that the method can effectively reduce the composition time and has good robustness, especially in the case of large number of web services and concepts.

SMART: A platform for cross-domain business process collaboration

Cross domain collaboration is now more and more universal in real world. This paper proposes a platform named SMART (Service Requirement-AwaRe Decentralized Services Computing Infrastructure) which supports decentralized collaboration of cross-domain organizations. The SMART can be deployed on any domain participants center server, and make all the participants become peer-entities. All the domain participants can communication with each other directly through an overlay network which is constructed by the SMART. SMART helps users to discover any other domain participants, build cross domain business process dynamically and execute business process in a decentralized way. The paper also introduces the SMART system design and prototype implementation.

A method of services intelligent cooperative work for requirements based on integrated planning

With the number of web services increasing rapidly, we have to pay more attention to how to make full use of these services to meet the requirements of users. In this paper, we propose a method of services intelligent cooperative work for requirements based on integrated planning. The method gets requirements and domain knowledge based on domain ontology, builds a logical process using HTN planning based on the information that has been gotten before, and selects an instance of web service for every node in the logical process to meet the requirements. The selection of web services is represented by first-order logic satisfiability-based planning problem. We use hill climbing algorithm to solve this problem.

A scheduling strategy for multiple QoS constrained grid workflows

WMS (Workflow Management System) are gaining popularity in recent years. Most scheduling algorithms developed for WMS focus on a single QoS requirement or a single workflow. However, WMS should serve for many users. And different users have different QoS requirements, the scheduling algorithm should be developed for multiple workflows with different QoS requirements. The scheduler should satisfy every users QoS requirements and find an optimal schedule. In this paper, we introduce a Multiple QoS Scheduling Strategy of Multi-Workflows (MQSS) to address this problem on the basis of our previous work. Experimentation shows that our strategy is able to increase the scheduling success rate and find an optimal solution.