Web Service Composition Framework Research Articles

PIRAP: Security Assessment Framework for Heterogeneous Web Service Composition

In recent times, enterprise environments such as E-banking, E-commerce, etc., are greatly affected by the evolution of web services and their associated attacks. The process of web service composition gives rise to security issues due to the incompatibility standards of the Simple Object Access Protocol (SOAP) and representational state transfer (REST) features and the compromising service-level agreement (SLA) between the end parties which has not been considered yet. Also, the security assessment process needs to cooperate with good security standards and web services. In case of heterogeneous web services, assessment done using machine learning technologies makes use of pattern analysis where this does not work with the evolving trend behind the web service environment. Hence, there is a need for a security assessment model which will incorporate finite state machine (FSM) in its assessment process to keep track of the various WS-attacks that arise in the web application via web services in heterogeneous environments. The proposed model does the web service composition by compromising all the security conflicts that arise due to the usage of dissimilar web services. We experimented the concept by testing several web services and observed that the performance of the proposed framework in attack detection is accurate and automatic thereby achieving traceability and computability metrics.

A web service composition framework in a heterogeneous environment

A web service composition framework in a heterogeneous environment

Reinforcement learning infused intelligent framework for semantic web service composition

Reinforcement learning infused intelligent framework for semantic web service composition

Framework for web service composition based on QoS in the multi cloud environment

Recently, the term cloud computing is widely used in the searching community, which shows the importance given by the scientists to this research area; cloud computing is a new computing model provides shared resources and data based on service delivery model, where everything from infrastructures, platforms, and software are given to the user like a set of services. The users of cloud platforms deal with these services to satisfy their requests, however these requests become more complex, and they need more than one service to accomplish one request; the process of gathering a set of services to satisfy a user request is called the service composition. In addition to the fact that one request needs a set of services to be executed, and die to the quick development of cloud technology, there are many of similar services which offer the same functionality, for each service in this set, which make the composition process needs a mechanism to choose between these infinity choices to give the user an optimal satisfaction. In this paper, We propose a framework for service composition in the multi cloud environment where we compose these services based on two factors: the first is a set of QoS (quality of service) criteria for each service, and the second is the number of cloud bases involved in the composition process, to build a composed service that satisfy the user request.

A Framework for Trustworthy Web Service Composition and Optimization

Recently, Web service composition and optimization have received an increasing attention from both academia and industrial community. Most current methods have not paid enough attention to the user specific trust requirement for composite services. However, Trust is an important metric to judge whether a composite service can behave as user expected. In this work, firstly, a multifactor concept of trust of composite service is defined based on the trust of component services, interface compatibility and optimal binding schemes. Secondly, a trustworthy Web service composition and optimization framework called TWSCO is proposed to guarantee the trust of composite service and efficiency of Web service composition process. The interface-matching problem among component services and user preference are considered in TWSCO, which firstly uses component services filter to remove untrusted component services. Secondly, the concrete services, based on interface similarity, are organized as clusters. Thirdly, a composite template among component services is formed at the cluster level to guarantee the trust and efficiency of composite service. finally, the best binding scheme is discovered by an optimization method based on user specific trust metrics. In the end, experiments based on real Web services are presented to illustrate the proposed framework TWSCO can effectively guarantee the user preference trust of the composite service.

An integrated approach towards service composition life cycle: A transportation process case study

Abstract In Web Service research, providing methods and tools to cater for automatic composition of services on the Web is still the object of ongoing research activity. Despite the proposed approaches, this issue remains open. Our current contribution deals with this topic and presents a Dynamic Web Service Composition Framework (DWSC). The DWSC behavior is based mainly on two components: service dynamic designer (WSDD) and service selection based on popularity (WSSP) to propose a composite service. The DWSC architecture, designed to automatically compose services based on popularity, has the advantage of proposing a list of suggested web services according the user request from a service repository and presenting a dynamic orchestration based on the selected web services. Further, we present a practical case study according the transportation process on supply chain, examples and experimental results that demonstrate the feasibility and effectiveness of our work.

Supervisor Aware Service Composition Framework: An Implementation and Evaluation

In our previous work (Atampore et al., 2016b), we developed a novel supervisory control framework for automated composition of Web services. In the proposed framework, we modeled services that exchange messages and exhibit nondeterministic (runtime-dependent) behaviours based on runtime input. The objective is to synthesize a supervisor that interacts with a given set of Web services through messages to guarantee that a given specification is satisfied. The framework employs Labelled Transition Systems (LTSs) equipped with guards and data variables to model Web services and provides a technique to synthesize a controller. We modeled the interactions of services asynchronously and we used the guards and data variables to express certain preconditions which are then propagated from the system requirements through the overall composite service. In this paper, first, we present a prototype implementation of our automated web service composition framework proposed in our previous paper into a tool support: The implementation involves the following: (i) the translation of industrial Web service standard such as WS-BPEL in a formal language suitable for control synthesis; (ii) the implementation of all the proposed control synthesis algorithms in our previous work; (iii) the incorporation of runtime information into the supervisory control synthesis; and (iv) the translation of the formal language used in the synthesis back to its WS-BPEL equivalent. Second, we present the application and a preliminary evaluation of the proposed composition approach in terms of (i) its effectiveness for the generation of controllers for a composition problem and (ii) its applicability using two well-known small case studies.

A Web Service Composition Framework based on Functional Weight to Reach Maximum QoS

The recent trend in the web world is to accomplish almost all the user services in every field through the web portals of the respective organizations. But a specific task with series of actions cannot be completed by a single web service with limited functionality. Therefore, multiple web services with different functionalities are composed together to attain the result. Web service composition is an approach that combine various services to fulfill the Web related tasks with preferred quality. Composition of such services will become more challenging when these web services are with similar functionalities, varying Quality and from several providers. Hence, the overall QoS (Quality of Service) could be considered as the major factor for composition. Moreover, in most of the compositions the expected QoS cannot be attained when the task is finished. Sometimes the complete task may have affected by a poor performed single web service. So, while composition, at most care should be taken to select a particular web service. Composing web services dynamically is the main method used to overcome these difficulties. However, to reach the actual functionality of the specific task the quality of each individual service is very much necessary. The QoS of a web service normally evaluated using the non-functional attributes, such as response time, availability, reliability, throughput, etc. Also, while composition, the same level of quality is not expected for individual web services that are included in the chain. So, a framework proposed in this research paper, for web service composition by setting appropriate weightage for the non-functional parameters. Experimental results show that implementation of this method will definitely pave the way to reach the maximum performance of the composition with improved QoS.

Context-Aware Web Service Composition based on AI Planning

ABSTRACTA web service is an application that is published on the web and can be discovered and used automatically. In many cases, a web service cannot provide the capability that the user has requested. Therefore, according to the user request, it should be possible to combine various services and produce a new composite service for the user request. Context is the information that can be used to characterize the situation of an entity. In this paper, we present our context model for web service composition and implement the newly proposed framework for context-aware web service composition and show how the newly proposed framework reduces the number of failures and composition time.

Cloud computing as a facilitator for web service composition in factory automation

Cloud computing is an information technology paradigm enabling companies to sell computing resources more dynamically. Software and hardware are now commodities leased on demand. Because computer systems leased from a cloud service provider, virtual machines, are typically connected to internet, they can host web services, which are frequently components of service oriented architectures (SOAs). Such architectures have recently been adopted in factory automation, as they allow systems to reach high levels of decentralization and loose-coupling. SOA-based Factory automation systems combine physical production equipment with web services that belong to the information processing (cyber) domain, and they are therefore highly cyber-physical. When some of the services are deployed on cloud resources, SOA-based factory automation systems can be classified cloud-based cyber-physical systems. Each service in such a system is typically able to perform rather simple, atomic operations, whereas achievement of complex goals requires that the services be composed to collaboratively carry out workflows. This article investigates the use of cloud resources in automatic service workflow composition. To facilitate the acquisition and utilization of cloud resources, a system of two specialized web services is proposed. The system includes a web service that dynamically deploys virtual machines to carry out planning processes, thereby exhibiting artificial intelligence. Finally, this paper demonstrates the integration of the system with a previously proposed semantic web service composition framework.

FRWSC: a framework for robust Web service composition

The deployment of Web services in a highly dynamic environment brings about a number of research challenges. In dynamic Web services composition, failures and changes to atomic services cannot be detected before invocation. Hence, the failure or even the change in an atomic service may lead to the overall failure of the composite service. In addition, SOAP error code is not sufficient for the client to analyze the failure reason and handle it. In this work, we introduce a framework to deal with unexpected failures during runtime composition. The proposed framework is built on top of composite services stack as an interface between the composite service and its external service partners. The evaluation results show that by using the proposed framework, it is possible to avoid composite service failures that are caused by changes or failures in atomic services.

A framework for context-aware web service composition using planning techniques

A web service is an application that is published on the web and can be discovered and used automatically. In many cases, a web service cannot provide the capability that the user has requested. Therefore, according to the user request, it should be possible to combine various services and produce a new composite service for user request. AI planning techniques are used for automated web service composition. Also, context is the information that can be used to characterize the situation of an entity. JSHOP2 is one of the techniques of planning. In this paper, the design and implementation of the proposed framework for context-aware web service composition is presented and is used JSHOP2 and the proposed framework reduces the number of failures and composition time.

Petri Net Based Semantic Web Service Composition

Automatic composition of Web services is a challenging task as independently developed Web services are not always compatible with each other. In order to resolve the heterogeneity between Web services and improve the quality of Web service composition, we propose a new approach based on semantics for Web service composition, which widely deploys Petri Nets and ontology. This paper proposes a framework for semantic Web service composition that builds Petri net model of interactions between Web services and builds ontology representing domain knowledge, then combines the Petri net models with ontology-based mediation.

A semantic QoS-aware web services composition framework

Composition of web services has received much interest to support business-to-business or enterprise application integration. However, for this composition to be effective, web services should be semantically described and developed tools must enable to select appropriate services based on functional requirements that deal with the desired functionality of the composite service, and non-functional concerns that relate to issues like performance and availability. This presents a challenging task due to the increasing number of available web services with their descriptions remaining in the syntactic level. In this paper, we propose a semantic QoS-aware web services composition framework. This framework considers a two-stage composition process. An abstract composition stage consists in semantically constructing a composition of available services that provides the desired functionality. Then, a concrete composition stage turns the abstract plan into an executable composition by selecting the appropriate web service instances based on QoS parameters.

Review on Semantic Web Service Composition

As a way of reusing service resource, Semantic Web service composition aims to achieve the effective automation of Web service discovery, composition and execution with the organic combination of its static description and dynamic behavior. How to realize the dynamic and intelligent Web service composition has gradually made itself the focal point in academic and industrial research. This paper gives an overview of the research on Semantic Web service composition methods. Main specifications of the Web service and the Semantic Web service composition framework are introduced in the first, then three categories of the current Semantic Web service composition methods are discussed in detail. Moreover, the related core problems and the future directions of Semantic Web service composition are pointed out and to be explored.

User QoS enhanced web service composition framework in cloud platforms

Recently, deploying web services in cloud platforms has become a popular issue that attracts plenty of attentions. Unlike typical service platforms, cloud system provides an elastic infrastructure for service provision and security isolation. As a result, the service composition in a cloud platform becomes more flexible and negotiable, especially when users have multiple QoS constraints with various weights. To address the problem of service composition with multiple QoS constraints in cloud systems, we propose a QoS-enhanced web service composition framework, in which evolution strategy is applied to solve the optimal service composition which is formulated as multiple choice multiple dimension knapsack problem. Based on the proposed service composition, a QoS negation mechanism is also designed with aiming to adapt the dynamical and elastic cloud environments. Extensive experiments are conducted to investigate the effectiveness of the proposed framework, and the results show that it can significantly reduce the costs of large-scale service-based application in terms of various QoS metrics.

Semantic Based Intelligent Resource Service Composition Technology

Intelligent resource includes the knowledge, hardware and software resources even workflow and human resource, etc. From the point of view of enterprise information management, the service composition is an essential element for companies’ informatization construction. Therefore, the paper describes a web service composition framework for semantically-annotated web service. Based on the state of art ontology technology, an OWL-S process model for the CAM software is established to describe resource service. Then a service discovery process which mainly consists of services’ property matching algorithm for words is set up. A backward chaining framework for service composition is employed to dynamically compose resource services finally.

A GEOSPATIAL WEB SERVICES COMPOSITION FRAMEWORK SUPPORTING REAL-TIME STATUS MONITORING

Abstract. Geospatial web services composition becomes one of the main solutions for complex computing in the GIS realm with the development of information interoperability and advanced IT technologies. Standard geospatial web services only have two simple statuses: success or failure. However the procedures for geospatial information processing and analysis always feature intensive data, complex computation, and long processing times. Thus, standard geospatial web services composition only provides basic functions and cannot fully satisfy geospatial information processing and analysis needs. The problems with standard geospatial web services are numerous, including difficulties in controlling and monitoring geospatial web services, composition optimization, and error tracking. The execution status of geospatial web services composition must be monitored becoming the basis for further optimization of the geospatial web services composition model. This paper proposes a framework for geospatial web service composition that supports real-time status monitoring. This framework effectively integrates geospatial web services with status interfaces and dynamic monitoring technology. Experiments show that this framework can effectively monitor execution information, reminding users of bottleneck information thus providing the foundation for further improvements in the model's execution efficiency.

Towards Integration of Knowledge Extraction from Process Interoperability in Future Internet Enterprise Systems

Current R&D directions sustained by the European Commission, by FP7 and in the near future by FP8 research programs, are focusing on the development and standardization of new technologies to sustain the “Future Internet”. In this context the development of new Internet related concepts and technologies oriented towards providing positive benefits for economy has been included in a broad concept of “Future Internet Based Enterprise Systems”. The Intelligent Manufacturing Systems (IMS) paradigms, are leading our Information Society towards New Economy-driven Knowledge Society copying with Global e-Markets new list of System of Systems requirements. Efficient interoperability, both horizontal and vertical, is a basic requirement towards the aim of Enterprise System Integration within Collaborative Concurrent Competitive Enterprises. In this context, the authors will propose a framework for web service composition and knowledge extraction form process execution based on process description embedded in Internet of Things compliant intelligent objects.

An obligation-based framework for web service composition via agent conversations

This paper presents a framework for web service composition based on social norms, particularly obligations. Web services are implemented and orchestrated by agents. Agent interaction is defined by means of obligations. Then, obligation-based agent conversations are translated into a web service composition method. Web services' functionalities are conceived as a set of actions with preconditions and effects, both expressed in terms of obligations that are adopted by agents as goals. In addition, an agent communication language that defines how messages affect agents' states, and as a consequence, the access to the services is presented. Moreover, a method for automatically creating generic composer agents is proposed. Composer agents are capable of managing and composing web services by means of inducing obligations to agents that implement and orchestrate web services.