Web Service Workflow Research Articles

WSFeIn: A Novel, Dynamic Web Service Composition Adapter for Cloud-Based Mobile Application

Service-Oriented Computing (SOC) has been a cornerstone development in today’s fast-paced world, covering the lifecycle of services and contributing to service delivery through distributed applications. SOC is striving to integrate cloud computing with complicated mobile apps. Dynamic and adaptable web service composition is the tip of the iceberg for SOA adoption. Dynamic service binding is vital for mobile computing due to the need for distributed mobile internet consumption at runtime. This study addresses SOC difficulties associated with web service composition, whose growth creates a paradigm change in identifying data type matching solutions. This allows for data type-level matching research to ensure high-quality web service creation. In this work, the composition process is divided into three phases: web service discovery, web service selection, and web service composition, where web service personalization and workflow reliability are emphasized. The final result is a complicated mobile app that runs without depleting device resources and an adaptable, reusable web service composition workflow. This improves matching at the data type level, an SOC pain point.

Abstract 3667: The Pediatric Brain Tumor Atlas - Transforming the landscape of research

Abstract The Pediatric Brain Tumor Atlas (PBTA) is a cloud-based, cross-platform, and data-rich collaborative effort to accelerate discoveries for therapeutic intervention in children diagnosed with brain tumors. Pediatric brain tumors are the leading cause of disease-related death in children and despite advances in therapy, morbidity and mortality rates remain poor. There have been large scale efforts to genomically profile these cancers in the past, however public access to the resulting datasets are limited at best. In contrast, the PBTA, created as a multi-center effort by Children’s Brain Tumor Tissue Consortium (CBTTC) and Pacific Pediatric Neuro-Oncology Consortium (PNOC), has a goal of characterizing over 1,600 pediatric brain tumor samples and making the data publicly available to cancer researchers world-wide. PBTA comprises comprehensive clinical data in addition to whole exome sequencing, whole genome sequencing (WGS), RNA sequencing (RNASeq), miRNA sequencing, and proteomics. To address the need to inform novel discovery and clinical implementation of genomic approaches for diagnostic/therapeutic purposes, PBTA utilizes a cloud-based scientific environment, the CAVATICA portal. CAVATICA provides near real-time integration, dissemination, processing, and sharing of associated PetaByte-sized data by leveraging Amazon Web Services and powerful genomic workflows. It also enables dbGaP approved users to access TCGA and other datasets hosted by NCI’s Cancer Genomics’ Cloud, allowing for cross-disease studies. While CAVATICA manages raw sequencing data, processed annotations and biospecimen querying is enabled for PBTA via PedcBioPortal, a data visualization/analysis application further integrating additional public and deposited datasets. PBTA data can further be accessed via the KidsFirst platform, which integrates both CAVATICA and PedcBioPortal, and allows for querying of cancer and non-cancer genomic data for subsequent analytics, visualization, and discovery. The 1st dataset release of PBTA occurred on September 10th, 2018. In this release there are over 30 different types of pediatric brain tumors representing over 1,000 subjects. This data is available on CAVATICA, KidsFirst, and PedcBioPortal and users can seamlessly move between applications. Data types include those for matched tumor/normal samples, such as WGS, RNASeq, proteomics, longitudinal clinical data, imaging data (MRIs and radiology reports), histology slide images, and pathology reports. CBTTC/PNOC promote real time data release with no embargo period, allowing PBTA to have is up-to-date data releases with no embargo. The combination of cloud-based analytic platforms such as KidsFirst/CAVATICA/PedcBioPortal with data from both genomics and clinical practice serves to define a new paradigm for pediatric cancer research and collaborative discovery. Citation Format: Yuankun Zhu, Yiran Guo, Allison P. Heath, Pichai Raman, Elizabeth Appert, Jennifer Mason, Bo Zhang, Karthik Kalletla, Miguel A. Brown, Natasha Singh, Bailey K. Farrow, Parimala Killada, Meen Chul Kim, Alex Felmeister, Mateusz P. Koptyra, Sabine Mueller, Michael Prados, Jena V. Lilly, Rishi Lulla, Adam C. Resnick, Javad Nazarian, Phillip B. Storm, Angela J. Waanders. The Pediatric Brain Tumor Atlas - Transforming the landscape of research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3667.

Toward service selection for workflow reconfiguration:An interface-based computing solution

Due to the open and diverse features of the Internet, applications need an effective method of performing a workflow reconfiguration to achieve both the functional behaviors and non-functional requirements of workflow changes when a service failure occurs. This paper proposes a service selection method for workflow reconfiguration based on interface operation matching. First, formal models of service workflow and interface operations of Web services are defined, and functional behavior comparisons of service selections are performed to determine the operation coverage set that will fulfill all activities that predefine the form of an abstract process. Second, reconfiguration patterns are introduced to describe different solution types for service patterns, including one-to-one, one-to-many, many-to-many, and many-to-one modes. Third, to consider the quality of service (QoS), the quality of service workflow (QoW) is proposed according to control structures and service interface computing, and the unified QoW formula is then provided to effectively rank each reconfiguration plan to provide a top-k solution recommendation. Fourth, related algorithms and a case study are discussed to show the service selection process during the workflow reconfiguration. To support the engineering implementation, a novel service workflow reconfiguration architecture is designed to provide guidance, which ranges from monitoring to recommendations for project implementation. Finally, experiments are conducted to demonstrate the effectiveness and efficiency of the proposed method.

Enhanced reproducibility of SADI web service workflows with Galaxy and Docker.

BackgroundSemantic Web technologies have been widely applied in the life sciences, for example by data providers such as OpenLifeData and through web services frameworks such as SADI. The recently reported OpenLifeData2SADI project offers access to the vast OpenLifeData data store through SADI services.FindingsThis article describes how to merge data retrieved from OpenLifeData2SADI with other SADI services using the Galaxy bioinformatics analysis platform, thus making this semantic data more amenable to complex analyses. This is demonstrated using a working example, which is made distributable and reproducible through a Docker image that includes SADI tools, along with the data and workflows that constitute the demonstration.ConclusionsThe combination of Galaxy and Docker offers a solution for faithfully reproducing and sharing complex data retrieval and analysis workflows based on the SADI Semantic web service design patterns.

English

Web is the main source of communication, E-commerce, online shopping, research etc. Web Service life cycle is main fundamental to use Web Service. The use of Web is changed its purpose and method from its beginning to this era. And, as the use of Web is changed its life cycle is affected. In this paper various Web Service Life Cycles and their approaches for their need in this era are analysed and compared. The paper also includes the work flow of Web Services including the validation and security issues of Web Services.

Customized Interface Generation Model Based on Knowledge and Template for Web Service

With the development of Service-Oriented Architecture, more and more researches have provided automatic and semi-automatic approaches to end-user. Users can construct their own applications with web services. However, it is hard for most end-users to customize the interfaces of applications with current service composition methods. To address this issue, an interface generation model was proposed to provide customized user interface and interaction workflow. In this model, knowledge was involved to instruct the workflow of interaction. Templates were adopted to describe the user interface. Some significant points, such as user definition, data profile, user interaction workflow, interface description, were discussed in detail. A prototype system was implemented. Some demos have been shown to verify the customized interface generation model. With this model, end-users can define the interfaces and interaction workflows of web services with rules and templates. It supplies the gap of user interface in service composition. Compared with the current interface generation in service composition, the proposed model is more flexible and more effective for end-users

Green Web Services Integration and Workflow Execution within Next Generation CEMIS

This article presents a detailed implementation of the Corporate Environmental Management Information Systems (CEMIS) Next Generation platform of the IT-for-Green research project. The provided services within this platform are grouped based on the module to which they belong. These services will be the main realization of the workflows activities of the system's business processes. In the frame of this project, the Next Generation CEMIS will be developed, to integrate research concepts of current interest and investigate their feasibility through a prototypical implementation. In this paper the authors focus on two major components: the workflow engine implemented using State Chart XML (SCXML) and the Green Service Mall realized as a set of standardized Web Services.

A Comprehensive Survey of Web Service Choreography, Orchestration And Workflow Building

services and composition of web services play an important role in building a workflow. This paper discusses the basics of a web service, service composition and methods used for service composition. It also discusses various proposals that were provided as solutions to the problems existing in web service composition. It also proposes future research directions that can efficiently tackle the issues of web service composition. Keywordsmining; web service orchestration; choreography; service composition; ranking and selection; semantic service selection

Dynamic Composition of Web Service Based on Cloud Computing

Traditional web service discovery composition technology is hard to get adapted to dynamic, flexible modern business workflow. Due to the advantage of Cloud computing, dynamic, distributed, heterogeneous and autonomous nature to solve this problem provides a new way of thinking. This paper proposes a cloud computing environment that supports dynamic application service composition model, and in order to meet the real dynamic workflow environment, proposed cloud computing Web Service workflow management system CCB_WSFMS.

A dynamic and generic cloud computing model for glaciological image processing

As satellite imaging is quite expensive, and because of poor weather conditions including common heavy cloud cover at polar latitudes, daily satellite imaging is not always accessible or suitable to observe fast temporal evolutions. We complement satellite imagery with a set of ground based autonomous automated digital cameras which take three pictures a day. With these pictures we build a mosaic with their projection and apply a classification to define the temporal evolution of the snow cover. As the pictures are subject to heavy disturbance, some processing is needed to build the mosaic. Once the processes are defined, we present our model. This model is built upon a cloud computing environment using Web services workflow. Then we present how the processes are dynamically organized using a scheduler. This scheduler chooses the order and the processes to apply to every picture to build the mosaic. Once we obtain a mosaic we can study the variation of the snow cover.

The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud

The Taverna workflow tool suite (http://www.taverna.org.uk) is designed to combine distributed Web Services and/or local tools into complex analysis pipelines. These pipelines can be executed on local desktop machines or through larger infrastructure (such as supercomputers, Grids or cloud environments), using the Taverna Server. In bioinformatics, Taverna workflows are typically used in the areas of high-throughput omics analyses (for example, proteomics or transcriptomics), or for evidence gathering methods involving text mining or data mining. Through Taverna, scientists have access to several thousand different tools and resources that are freely available from a large range of life science institutions. Once constructed, the workflows are reusable, executable bioinformatics protocols that can be shared, reused and repurposed. A repository of public workflows is available at http://www.myexperiment.org. This article provides an update to the Taverna tool suite, highlighting new features and developments in the workbench and the Taverna Server.

Improving data transfer performance of web service workflows in the cloud environment

Web service data forwarding WSDF is a framework for centralised web service workflow, in which the intermediate result from a previous service is treated as a resource of the composite service and can be directly used by its subsequent service, without sending it back to the centralised control centre. To improve the data transfer performance of web service workflows in the cloud environment, we carried out a test of the WSDF framework in the ScienceCloud, provided by the Nimbus cloud infrastructure. The experiment showed that, in the cloud environment, the WSDF framework has significant performance advantage over normal web service framework for workflows with large data transfer and the improvement of performance agrees with the expected theoretical value.

Finite State Machine based Access Control Mechanism for Web Service Work Flow Management

Enterprises implement their business process as web services in order to meet the market demand. Typically composite business process requires collection of services under composition along with real time access control to provide the integrated functionalities to the consumer by orchestrating the service functionalities in a meaningful manner. Composite services often need to change their execution order under various circumstances based on the business requirements. In Enterprise view order of execution of rules associated with the single service or composite services can be altered dynamically that in turn leads to the many issues such as functionality variation, authentication failure, loss of composition factors, work flow inconsistency and SLA violation. The proposed ac ess control mechanism built over the dynamic work flow management of web service business logic overcomes the issues and provide the secure environment for the enterprises. This fast and efficient access control mechanism is implemented using Finite State Machine, in which the states of the FSM stores the additional attribute called Access Point through that the transition from one state to another state determines the required access control is set to true or false.

Tav4SB: integrating tools for analysis of kinetic models of biological systems

BackgroundProgress in the modeling of biological systems strongly relies on the availability of specialized computer-aided tools. To that end, the Taverna Workbench eases integration of software tools for life science research and provides a common workflow-based framework for computational experiments in Biology.ResultsThe Taverna services for Systems Biology (Tav4SB) project provides a set of new Web service operations, which extend the functionality of the Taverna Workbench in a domain of systems biology. Tav4SB operations allow you to perform numerical simulations or model checking of, respectively, deterministic or stochastic semantics of biological models. On top of this functionality, Tav4SB enables the construction of high-level experiments. As an illustration of possibilities offered by our project we apply the multi-parameter sensitivity analysis. To visualize the results of model analysis a flexible plotting operation is provided as well. Tav4SB operations are executed in a simple grid environment, integrating heterogeneous software such as Mathematica, PRISM and SBML ODE Solver. The user guide, contact information, full documentation of available Web service operations, workflows and other additional resources can be found at the Tav4SB project’s Web page: http://bioputer.mimuw.edu.pl/tav4sb/.ConclusionsThe Tav4SB Web service provides a set of integrated tools in the domain for which Web-based applications are still not as widely available as for other areas of computational biology. Moreover, we extend the dedicated hardware base for computationally expensive task of simulating cellular models. Finally, we promote the standardization of models and experiments as well as accessibility and usability of remote services.

Web services workflow with result data forwarding as resources

Under a centralized workflow model, distributed data transfer between consecutive services in a Web service workflow can save network bandwidth and avoid the centralized workflow engine being overloaded. The proposed Web Service Data Forwarding (WSDF) framework harnesses the Web Service Resource Framework (WSRF) to meet this requirement. A WSDF compliant service in a workflow can forward the result to its successor service for future usage. This result forwarding function is implemented at the WSDF server level and is transparent to functional services. Our prototype system has shown that this framework can save data transfer time and significantly improve the overall performance of some workflows.

SADI, SHARE, and the in silico scientific method

BackgroundThe emergence and uptake of Semantic Web technologies by the Life Sciences provides exciting opportunities for exploring novel ways to conduct in silico science. Web Service Workflows are already becoming first-class objects in “the new way”, and serve as explicit, shareable, referenceable representations of how an experiment was done. In turn, Semantic Web Service projects aim to facilitate workflow construction by biological domain-experts such that workflows can be edited, re-purposed, and re-published by non-informaticians. However the aspects of the scientific method relating to explicit discourse, disagreement, and hypothesis generation have remained relatively impervious to new technologies.ResultsHere we present SADI and SHARE - a novel Semantic Web Service framework, and a reference implementation of its client libraries. Together, SADI and SHARE allow the semi- or fully-automatic discovery and pipelining of Semantic Web Services in response to ad hoc user queries.ConclusionsThe semantic behaviours exhibited by SADI and SHARE extend the functionalities provided by Description Logic Reasoners such that novel assertions can be automatically added to a data-set without logical reasoning, but rather by analytical or annotative services. This behaviour might be applied to achieve the “semantification” of those aspects of the in silico scientific method that are not yet supported by Semantic Web technologies. We support this suggestion using an example in the clinical research space.

Accelerating Web Service Workflow Execution via Intelligent Allocation of Services to Servers

The appropriate deployment of web service operations at the service provider site plays a critical role in the efficient provision of services to clients. In this paper, the authors assume that a service provider has several servers over which web service operations can be deployed. Given a workflow of web services and the topology of the servers, the most efficient mapping of operations to servers must then be discovered. Efficiency is measured in terms of two cost functions that concern the execution time of the workflow and the fairness of the load distribution among the servers. The authors study different topologies for the workflow structure and the server connectivity and propose a suite of greedy algorithms for each combination.

Specifying and Validating Data-Aware Temporal Web Service Properties

Most works that extend workflow validation beyond syntactical checking consider constraints on the sequence of messages exchanged between services. These constraints are expressed only in terms of message names and abstract away their actual data content. We provide examples of real-world “data-aware” Web service constraints where the sequence of messages and their content are interdependent. To this end, we present {\rm CTL}\hbox{-}{\rm FO}^+, an extension over Computation Tree Logic that includes first-order quantification on message content in addition to temporal operators. We show how {\rm CTL}\hbox{-}{\rm FO}^+ is adequate for expressing data-aware constraints, give a sound and complete model checking algorithm for {\rm CTL}\hbox{-}{\rm FO}^+, and establish its complexity to be PSPACE-complete. A “naive” translation of {\rm CTL}\hbox{-}{\rm FO}^+ into CTL leads to a serious exponential blowup of the problem that prevents existing validation tools to be used. We provide an alternate translation of {\rm CTL}\hbox{-}{\rm FO}^+ into CTL, where the construction of the workflow model depends on the property to validate. We show experimentally how this translation is significantly more efficient for complex formulas and makes model checking of data-aware temporal properties on real-world Web service workflows tractable using off-the-shelf tools.

A service‐oriented virtual learning environment

PurposeThe purpose of this paper is to present a prototype pluggable service‐oriented virtual learning environment, enabling teachers to create an integrated teaching environment using tools that have been chosen to best meet their academic requirements.Design/methodology/approachThis is an implementation of a WAFFLE Bus. A microkernel software design pattern is used to enable tools to be added and removed from the system. An enterprise service bus is used to provide workflow and message transformation functionality. Tools are managed through web service interfaces and Shibboleth is used to effect interoperability at the web application user interface. The initial services for the prototype were chosen to implement a simple web service teaching workflow.FindingsFirst, Shibboleth is shown to provide a solution to the virtual learning environment tools' interoperability problem. Second, the service‐oriented virtual learning environment naturally leads to the ability to operate with many different types of information channels in and out of the system. This leads to a multiplicity of possible types of context‐dependent user interface. Third, immersive 3D, possibly the most interesting interface, will provide a context amenable to even the smallest development teams for the introduction of artificial intelligence into teaching. Finally, web service workflow is shown to provide a viable option for the implementation of learning designs with advantages and disadvantages compared to existing approaches.Research limitations/implicationsDifferent types of information channels are associated with different security problems. It will be important to determine what the best ways are of establishing secure channels to student personal learning environments. The present web service workflow design tools are of the highest quality and usability, but the design process is still a job for a specialist. It might be possible, however, to modify these open source tools to bring the design process within the grasp of non‐specialists.Originality/valueThe software system presented herein represents one possible path leading away from VLE monolithy using a service‐oriented approach. A new solution to the tools' interoperability problem is presented along with a multi‐faceted approach to the user interface. The enterprise service bus creates a flexible platform for the delivery of web service teaching and learning workflows. It is posited that the use of an immersive 3D user interface will create a context that facilitates the introduction of an artificial intelligence layer into the virtual learning environment that can serve robot teaching avatars.

QoS Scheduling Based on Trust Relationship in Web Service Workflow

The influence of the uncertain or deceiving service nodes on the Web service workflow scheduling performance is generally fatal,so the problems of QoS scheduling can not be completely solved by the performance-QoS.The paper is concerned with the problem that trust mechanism is largely ignored in existing scheduling algorithms of service workflow.A novel algorithm of service workflow scheduling is proposed based on truth relationship in Web service workflow,and the trust value is computed by D-S theory.At the same time,the workflow path-level trust concept and the trust transfer are introduced,and the trust relationship is taken as an important parameter for QoS scheduling.The algorithm satisfies both the requirement of workflow performance-QoS and the requirement of trust-QoS.The experimental result shows that the new algorithm can obviously enhance the success rate of the service workflow execution,and it has better overall performance in other aspects such as executive time,stability and so on,compared to the traditional algorithm based on scheduling of performance-QoS.