4,190 research outputs found
Modeling and Execution of Multienterprise Business Processes
We discuss a fully featured multienterprise business process plattform
(ME-BPP) based on the concepts of agent-based business processes. Using the
concepts of the subject-oriented business process (S-BPM) methodology we
developed an architecture to realize a platform for the execution of
distributed business processes. The platform is implemented based on cloud
technology using commercial services. For our discussion we used the well known
Service Interaction Patterns, as they are empirically developed from typical
business-to-business interactions. We can demonstrate that all patterns can be
easily modeled and executed based on our architecture. We propose therefore a
change from a control flow based to an agent based view to model and enact
business processes.Comment: arXiv admin note: substantial text overlap with arXiv:1404.273
Flexible coordination techniques for dynamic cloud service collaboration
The provision of individual, but also composed services is central in cloud service provisioning. We describe a framework for the coordination of cloud services, based on a tupleâspace architecture which uses an ontology to describe the services. Current techniques for service collaboration offer limited scope for flexibility. They are based on statically describing and compositing services. With the open nature of the web and cloud services, the need for a more flexible, dynamic approach to service coordination becomes evident. In order to support open communities of service providers, there should be the option for these providers to offer and withdraw their services to/from the community. For this to be realised, there needs to be a degree of selfâorganisation. Our techniques for coordination and service matching aim to achieve this through matching goalâoriented service requests with providers that advertise their offerings dynamically. Scalability of the solution is a particular concern that will be evaluated in detail
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent âdevicesâ, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew âcognitive devicesâ are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
An approach for automated service selection and ranking using services choreography
In todayâs highly competitive market, it is critical to provide customers services with a high level of
configuration to answer their business needs. Knowing in advance the performance associated with a
specific choreography of services (e.g., by taking into account the expected results of each component
service) represents an important asset that allows businesses to provide a global service tailored to
customersâ specific requests. This research work aims at advancing the state-of-the-art in this area by
proposing an approach for service selection and ranking using services choreography, predicting the
behavior of the services considering customersâ requirements and preferences, business process constraints
and characteristics of the execution environment
Measuring the modeling complexity of microservice choreography and orchestration: The case of e-commerce applications
Context: With the increasing popularity of microservices for software application development, businesses are migrating from monolithic approaches towards more scalable and independently deployable applications using microservice architectures. Each microservice is designed to perform one single task. However, these microservices need to be composed together to communicate and deliver complex system functionalities. There are two major approaches to compose microservices, namely Choreography and Orchestration. Microservice compositions are mainly built around business functionalities, therefore businesses need to choose the right composition style that best serves their needs. Hence, this research uses existing complexity metrics from the software engineering and business process modeling domains on small, mid-sized, and end-to-end e-commerce scenarios to analyze and compare the level of complexity of microservice Orchestration and Choreography using Business Process Modeling Notation (BPMN).
Objective: Comparing the complexity of the two leading composition techniques on small, mid-sized, and end-to-end e-commerce scenarios, using complexity metrics from the software engineering and business process literature. More specifically, we use the metrics to assess the complexity of BPMN-based models representing the abovementioned e-commerce scenarios.
Method: This research follows a five-step process for conducting a Design Science Research (DSR) methodology to define, develop and evaluate BPMN-based models for microservice compositions.
Results: A series of BPMN workflows are designed as artifacts to investigate microservice Choreography and Orchestration. The results derived from the complexity evaluation of our proposed models show a higher level of complexity in orchestrating microservices for e-commerce applications given the number of services used in modeling Orchestration compared to Choreography.
Conclusion: This research uncovers insights on modeling microservice Choreography and Orchestration and discusses the impacts of complexity on the modifiability and understandability of the proposed models. Keywords: Microservice, Microservice Composition, Choreography, Orchestration, Complexity Metric, BPMN
Microservice Transition and its Granularity Problem: A Systematic Mapping Study
Microservices have gained wide recognition and acceptance in software
industries as an emerging architectural style for autonomic, scalable, and more
reliable computing. The transition to microservices has been highly motivated
by the need for better alignment of technical design decisions with improving
value potentials of architectures. Despite microservices' popularity, research
still lacks disciplined understanding of transition and consensus on the
principles and activities underlying "micro-ing" architectures. In this paper,
we report on a systematic mapping study that consolidates various views,
approaches and activities that commonly assist in the transition to
microservices. The study aims to provide a better understanding of the
transition; it also contributes a working definition of the transition and
technical activities underlying it. We term the transition and technical
activities leading to microservice architectures as microservitization. We then
shed light on a fundamental problem of microservitization: microservice
granularity and reasoning about its adaptation as first-class entities. This
study reviews state-of-the-art and -practice related to reasoning about
microservice granularity; it reviews modelling approaches, aspects considered,
guidelines and processes used to reason about microservice granularity. This
study identifies opportunities for future research and development related to
reasoning about microservice granularity.Comment: 36 pages including references, 6 figures, and 3 table
Towards a Service-Oriented Enterprise: The Design of a Cloud Business Integration Platform in a Medium-Sized Manufacturing Enterprise
This case study research followed the two-year transition of a medium-sized manufacturing firm towards a service-oriented enterprise. A service-oriented enterprise is an emerging architecture of the firm that leverages the paradigm of services computing to integrate the capabilities of the firm with the complementary competencies of business partners to offer customers with value-added products and services. Design science research in information systems was employed to pursue the primary design of a cloud business integration platform to enable the secondary design of multi-enterprise business processes to enable the dynamic and effective integration of business partner capabilities with those of the enterprise. The results from the study received industry acclaim for the designed solutions innovativeness and business results in the case study environment. The research makes contributions to the IT practitioner and scholarly knowledge base by providing insight into key constructs associated with service-oriented design and deployment of a cloud enterprise architecture and cloud intermediation model to achieve business results. The study demonstrated how an outside-in service-oriented architecture adoption pattern and cloud computing model enabled a medium-sized manufacturing enterprise to focus on a comprehensive approach to business partner integration and collaboration. The cloud integration platform has enabled a range of secondary designs that leveraged business services to orchestrate inter-enterprise business processes for choreography into service systems and networks for the purposes of value creation. The study results demonstrated enhanced levels of business process agility enabled by the cloud platform leading to secondary designs of transactional, differentiated, innovative, and improvisational business processes. The study provides a foundation for future scholarly research on the role of cloud integration platforms in enterprise computing and the increased importance of service-oriented secondary designs to exploit cloud platforms for sustained business performance
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