177,979 research outputs found

    Technical factors for implementing SOA-Based business intelligence architecture : an exploratory study

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    Business intelligence (BI) architecture based on service-oriented architecture (SOA) concept enables enterprises to deploy agile and reliable BI applications. However, the key factors for implementing a SOA-based BI architecture from technical perspectives have not yet been systematically investigated. Most of the prior studies focus on organisational and managerial perspectives rather than technical factors. Therefore, this study explores the key technical factors that are most likely to have an impact on the implementation of a SOA-based BI architecture. This paper presents a conceptual model of BI architecture built on SOA concept. Drawing on academic and practitioner literature related to SOA and software architectural design, we propose fourteen key factors that may influence the implementation of a SOA-based BI architecture. This study bridges the gap between academic and practitioners.<br /

    AMCIS 2006 Panel Summary: Towards the Service Oriented Enterprise Vision: Bridging Industry and Academics

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    The complexities and costs of current information architectures, infrastructures, and distributed data and software have provided impetus to emerging conceptualizations of the Service Oriented Enterprise (SOE). The foundations for SOE can be found in current applications of service oriented architecture (SOA), service oriented infrastructure (SOI), business process and workflow, computing resource virtualization, business semantics, service level agreements, increasing standardization, and other areas of applied research. This article reports on a panel held at the 2006 Americas Conference on Information Systems (AMCIS) in Acapulco, Mexico, regarding the impacts of SOE tenets on the IS field. Two organizations that are at the leading edge of the SOE continuum [American Express and Intel] in terms of vision and experiences were represented by Margaret Mitchell and George Brown. In addition, MIS academics were represented on the panel by the authors, researchers from Arizona State University. Both industry and academics brought unique perspectives. American Express\u27 SOE approach addresses organizational structure and business intelligence project workflow issues. The company hosts one of the largest IT infrastructures capable of handling untold numbers of transactions each second. Intel\u27s SOE approach addresses the orchestration of services and workflows in the cross-architecture environments characterizing the modern extended global enterprise. Intel is playing a lead role in establishing the OASIS (the Organization for the Advancement of Structured Information Standards) SOA Reference Model (called \u27ebSOA\u27)

    Factors Affecting The Organizational Adoption Of Service-Oriented Architecture (Soa)

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    Service-oriented computing is an emerging IT innovation. Among its manifestations is service-oriented architecture (SOA), an architectural approach to designing and implementing IT solutions. Academic empirical research on SOA adoption is scarce, with many studies focussing on qualitative analysis. The purpose of this study is to explore SOA adoption using a quantitative approach. This study investigates organizational SOA adoption in South Africa from DOI theory and TOE framework perspectives. A comprehensive model of SOA adoption is presented along with an associated research instrument. In order to validate the instrument and to gauge the state of SOA adoption, an online survey was conducted among South African organizations. The results of the survey highlight a number of factors influencing SOA adoption. Use of multiple standards and platforms, complexity, compatibility, cost, top management support, good governance and strategy, adequate human and financial resources, vendor support for integration and development tools are all significant factors for a fruitful SOA implementation. The findings of this study can contribute to the body of knowledge on organizational SOA adoption and create opportunities for future related research in this field

    Migrating a Large Scale Legacy Application to SOA: Challenges and Lessons Learned

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    Abstract—This paper presents the findings of a case study of a large scale legacy to service-oriented architecture migration process in the payments domain of a Dutch bank. The paper presents the business drivers that initiated the migration, and describes a 4-phase migration process. For each phase, the paper details benefits of using the techniques, best practices that contribute to the success, and possible challenges that are faced during migration. Based on these observations, the findings are discussed as lessons learned, including the implications of using reverse engineering techniques to facilitate the migration process, adopting a pragmatic migration realization approach, emphasizing the organizational and business perspectives, and harvesting knowledge of the system throughout the system’s life cycle. I

    Value-Based Business-IT Alignment in Networked Constellations of Enterprises

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    Business-ICT alignment is the problem of matching ICTservices with the requirements of the business. In businesses of any significant size, business-ICT alignment is a hard problem, which is currently not solved completely. With the advent of networked constellations of enterprises, the problem gets a new dimension, because in such a network, there is not a single point of authority for making decisions about ICT support to solve conflicts in requirements these various enterprises may have. Network constellations exist when different businesses decide to cooperate by means of ICT networks, but they also exist in large corporations, which often consist of nearly independent business units, and thus have no single point of authority anymore. In this position paper we discuss the need for several solution techniques to address the problem of business-ICT alignment in networked constellations. Such techniques include: -RE techniques to describe networked value constellations requesting and offering ICT services as economic value. These techniques should allow reasoning about the matching of business needs with available ICT services in the constellation. - RE techniques to design a networked ICT architecture that supports ICT services required by the business, taking the value offered by those services, and the costs incurred by the architecture, into account. - Models of decision processes about ICT services and their architecture, and maturity models of those processes.The techniques and methods will be developed and validated using case studies and action research

    The case for federated identity management in 5G communications

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    The heterogeneous nature of fifth generation mobile network (5G) makes the access and provision of network services very difficult and raises security concerns. With multi-users and multi-operators, Service-Oriented Authentication (SOA) and authorization mechanisms are required to provide quick access and interaction between network services. The users require seamless access to services regardless of the domain, type of connectivity or security mechanism used. Hence a need for Identity and Access Management (IAM) mechanism to complement the improved user experience promised in 5G. Federated Identity Management (FIdM) a feature of IAM, can provide a user with use Single Sign On (SSO) to access services from multiple Service Providers (SP). This addresses security requirements such as authentication, authorization and user’s privacy from the end user perspectives, however 5G networks access lacks such solution. We propose a Network Service Federated Identity (NS-FId) model that address these security requirements and complements the 5G Service- Based Architecture (SBA). We present different scenarios and applications of the proposed model. We also discuss the benefits of identity management in 5G

    Data Mesh: a Systematic Gray Literature Review

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    Data mesh is an emerging domain-driven decentralized data architecture that aims to minimize or avoid operational bottlenecks associated with centralized, monolithic data architectures in enterprises. The topic has picked the practitioners' interest, and there is considerable gray literature on it. At the same time, we observe a lack of academic attempts at defining and building upon the concept. Hence, in this article, we aim to start from the foundations and characterize the data mesh architecture regarding its design principles, architectural components, capabilities, and organizational roles. We systematically collected, analyzed, and synthesized 114 industrial gray literature articles. The review provides insights into practitioners' perspectives on the four key principles of data mesh: data as a product, domain ownership of data, self-serve data platform, and federated computational governance. Moreover, due to the comparability of data mesh and SOA (service-oriented architecture), we mapped the findings from the gray literature into the reference architectures from the SOA academic literature to create the reference architectures for describing three key dimensions of data mesh: organization of capabilities and roles, development, and runtime. Finally, we discuss open research issues in data mesh, partially based on the findings from the gray literature
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