481 research outputs found

    Blockchain-based Governance, Risk Management, and Compliance for Fractional Ownership: Design and Implementation of A Decentralized Autonomous Agent System

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    Fractional ownership makes homeownership more affordable. But there are challenges in a fractional ownership real estate transaction (FORET) regarding governance, risk management and compliance (GRC) processes. Centralized GRC solutions are less effective in managing the tiered structure of communications in a FORET, which can lead to principal-agent problems such as information asymmetry, risk aversion, and moral hazard. In this research we investigate how these principal-agent problems in FORET could be mitigated. Using an agency theory perspective, we adopt a design science multimethodological research approach. We propose conceptual and system artefacts to support the design and implementation of a decentralized autonomous agent system. These artefacts deliver a formal problem representation structure related to centralized GRC in fractional ownership. We illustrate our solution with a system prototype and implementation. We evaluate the research outputs and compare them with existing GRC systems. This paper contributes to the understanding of GRC in supporting fractional ownership decision making

    Data Management in Microservices: State of the Practice, Challenges, and Research Directions

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    We are recently witnessing an increased adoption of microservice architectures by the industry for achieving scalability by functional decomposition, fault-tolerance by deployment of small and independent services, and polyglot persistence by the adoption of different database technologies specific to the needs of each service. Despite the accelerating industrial adoption and the extensive research on microservices, there is a lack of thorough investigation on the state of the practice and the major challenges faced by practitioners with regard to data management. To bridge this gap, this paper presents a detailed investigation of data management in microservices. Our exploratory study is based on the following methodology: we conducted a systematic literature review of articles reporting the adoption of microservices in industry, where more than 300 articles were filtered down to 11 representative studies; we analyzed a set of 9 popular open-source microservice-based applications, selected out of more than 20 open-source projects; furthermore, to strengthen our evidence, we conducted an online survey that we then used to cross-validate the findings of the previous steps with the perceptions and experiences of over 120 practitioners and researchers. Through this process, we were able to categorize the state of practice and reveal several principled challenges that cannot be solved by software engineering practices, but rather need system-level support to alleviate the burden of practitioners. Based on the observations we also identified a series of research directions to achieve this goal. Fundamentally, novel database systems and data management tools that support isolation for microservices, which include fault isolation, performance isolation, data ownership, and independent schema evolution across microservices must be built to address the needs of this growing architectural style

    Extended Fault Taxonomy of SOA-Based Systems

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    Service Oriented Architecture (SOA) is considered as a standard for enterprise software development. The main characteristics of SOA are dynamic discovery and composition of software services in a heterogeneous environment. These properties pose newer challenges in fault management of SOA-based systems (SBS). A proper understanding of different faults in an SBS is very necessary for effective fault handling. A comprehensive three-fold fault taxonomy is presented here that covers distributed, SOA specific and non-functional faults in a holistic manner. A comprehensive fault taxonomy is a key starting point for providing techniques and methods for accessing the quality of a given system. In this paper, an attempt has been made to outline several SBSs faults into a well-structured taxonomy that may assist developers to plan suitable fault repairing strategies. Some commonly emphasized fault recovery strategies are also discussed. Some challenges that may occur during fault handling of SBSs are also mentioned

    A Semantic Framework for Declarative and Procedural Knowledge

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    In any scientic domain, the full set of data and programs has reached an-ome status, i.e. it has grown massively. The original article on the Semantic Web describes the evolution of a Web of actionable information, i.e.\ud information derived from data through a semantic theory for interpreting the symbols. In a Semantic Web, methodologies are studied for describing, managing and analyzing both resources (domain knowledge) and applications (operational knowledge) - without any restriction on what and where they\ud are respectively suitable and available in the Web - as well as for realizing automatic and semantic-driven work\ud ows of Web applications elaborating Web resources.\ud This thesis attempts to provide a synthesis among Semantic Web technologies, Ontology Research, Knowledge and Work\ud ow Management. Such a synthesis is represented by Resourceome, a Web-based framework consisting of two components which strictly interact with each other: an ontology-based and domain-independent knowledge manager system (Resourceome KMS) - relying on a knowledge model where resource and operational knowledge are contextualized in any domain - and a semantic-driven work ow editor, manager and agent-based execution system (Resourceome WMS).\ud The Resourceome KMS and the Resourceome WMS are exploited in order to realize semantic-driven formulations of work\ud ows, where activities are semantically linked to any involved resource. In the whole, combining the use of domain ontologies and work ow techniques, Resourceome provides a exible domain and operational knowledge organization, a powerful engine for semantic-driven work\ud ow composition, and a distributed, automatic and\ud transparent environment for work ow execution

    Clinical Workflows - The Killer Application for Process-oriented Information Systems?

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    There is an increasing interest in changing information systems to support business processes in a more direct way. Workflow technology is a very interesting candidate to achieve this goal. Hence the important question arises, how far do we get using this technology. Is its functionality powerful enough to support a wide range of applications or is it only suitable for rather simple ones? And, if the latter is the case, are the missing functions of the “just to do” type or are more fundamental issues addressed? The paper uses the clinical domain to motivate and to elaborate the functionality needed to adequately support an advanced application environment. It shows that workflow technology is still lacking important features to serve this domain. The paper surveys the state of the art and it presents solutions for some issues based on the concepts elaborated in the ADEPT project
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