Every Need to be Alarmed

2011 ◽  
pp. 26-37
Author(s):  
Ed Young
Keyword(s):  
Service Oriented Architecture ◽  
Comprehensive System ◽  
System Management ◽  
Front Line ◽  
Common Structure ◽  
It Systems ◽  
Service Oriented ◽  
New Challenges ◽  
Distributed Infrastructures

Demand for contemporary IT systems to support chronic availability, expansive integration and extensibility has never been greater. Distributed infrastructures and particularly, the advent of Service Oriented Architecture (SOA) introduce new challenges for meeting these demands. Despite architectural conventions to prescribe a common structure and simplifed approach, these systems are becoming more complex, heterogeneous and critical. Comprehensive System Management is no longer a luxury. Faults and potential failures have to be identified, isolated and addressed, and ideally pre-emptively. Our front-line indicators are alarms

Connecting the clinical IT infrastructure to a service-oriented architecture of medical devices

2018 ◽  
Vol 63 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Björn Andersen ◽  
Martin Kasparick ◽  
Hannes Ulrich ◽  
Stefan Franke ◽  
Jan Schlamelcher ◽  
...  
Keyword(s):  
Medical Devices ◽  
Service Oriented Architecture ◽  
Point Of Care ◽  
Qualitative Evaluation ◽  
It Infrastructure ◽  
It Systems ◽  
Service Oriented ◽  
Clinical Environments ◽  
Integrated Operating Room ◽  
Ieee 11073

AbstractThe new medical device communication protocol known as IEEE 11073 SDC is well-suited for the integration of (surgical) point-of-care devices, so are the established Health Level Seven (HL7) V2 and Digital Imaging and Communications in Medicine (DICOM) standards for the communication of systems in the clinical IT infrastructure (CITI). An integrated operating room (OR) and other integrated clinical environments, however, need interoperability between both domains to fully unfold their potential for improving the quality of care as well as clinical workflows. This work thus presents concepts for the propagation of clinical and administrative data to medical devices, physiologic measurements and device parameters to clinical IT systems, as well as image and multimedia content in both directions. Prototypical implementations of the derived components have proven to integrate well with systems of networked medical devices and with the CITI, effectively connecting these heterogeneous domains. Our qualitative evaluation indicates that the interoperability concepts are suitable to be integrated into clinical workflows and are expected to benefit patients and clinicians alike. The upcoming HL7 Fast Healthcare Interoperability Resources (FHIR) communication standard will likely change the domain of clinical IT significantly. A straightforward mapping to its resource model thus ensures the tenability of these concepts despite a foreseeable change in demand and requirements.

Structuring SOA Governance

2012 ◽  
pp. 56-73
Author(s):  
Michael Niemann ◽  
André Miede ◽  
Wolfgang Johannsen ◽  
Nicolas Repp ◽  
Ralf Steinmetz
Keyword(s):  
Service Oriented Architecture ◽  
Holistic Approach ◽  
Generic Model ◽  
Legal Regulations ◽  
It Infrastructure ◽  
Market Conditions ◽  
Service Oriented Architectures ◽  
It Systems ◽  
Service Oriented

Companies’ IT Systems are confronted with constantly changing market conditions, new competitive threats and a growing number of legal regulations. The service-oriented architecture (SOA) paradigm provides a promising way to address these challenges at the level of a company’s IT infrastructure. These challenges, as well as the management of the newly introduced complexity and heterogeneity, are targeted by SOA Governance approaches. In recent years, a number of concrete frameworks for SOA Governance addressing these issues have been proposed. There is no holistic approach considering all proposed elements, consolidating them in order to form a universally applicable model. In this contribution, we motivate SOA Governance, investigate and compare different approaches, identify common concepts, and derive a generic model for governance of Service-oriented Architectures.

Big Data Analytics With Service-Oriented Architecture

2017 ◽  
pp. 216-234 ◽  
Author(s):  
Triparna Mukherjee ◽  
Asoke Nath
Keyword(s):  
Big Data ◽  
Service Oriented Architecture ◽  
Big Data Analytics ◽  
Dominant Mode ◽  
Volume Velocity ◽  
It Systems ◽  
Trading Partners ◽  
Integration Of Services ◽  
Service Oriented ◽  
Data Explosion

This chapter focuses on Big Data and its relation with Service-Oriented Architecture. We start with the introduction to Big Data Trends in recent times, how data explosion is not only faced by web and retail networks but also the enterprises. The notorious “V's” – Variety, volume, velocity and value can cause a lot of trouble. We emphasize on the fact that Big Data is much more than just size, the problem that we face today is neither the amount of data that is created nor its consumption, but the analysis of all those data. In our next step, we describe what service-oriented architecture is and how SOA can efficiently handle the increasingly massive amount of transactions. Next, we focus on the main purpose of SOA here is to meaningfully interoperate, trade, and reuse data between IT systems and trading partners. Using this Big Data scenario, we investigate the integration of Services with new capabilities of Enterprise Architectures and Management. This has had varying success but it remains the dominant mode for data integration as data can be managed with higher flexibility.

Challenges and Trends Towards an Effective Application of ERP and SCM Systems in SMEs

2010 ◽  
pp. 376-399
Author(s):  
Dimitrios Gagalis ◽  
Panayiotis Tahinakis ◽  
Nicolaos Protogeros ◽  
Dimitrios Ginoglou
Keyword(s):  
Service Oriented Architecture ◽  
Service Providers ◽  
Background Information ◽  
Future Trends ◽  
Application Service Providers ◽  
Organizational Issues ◽  
International Trends ◽  
Application Service ◽  
It Systems ◽  
Service Oriented

Small and medium-sized enterprises (SMEs) are considered as both the backbone and the main driving force of economic development and innovation. Technology is playing an increasingly significant role in the success or failure of SMEs. The purpose of this chapter is to present international trends and challenges on the field of ERP and SCM systems, thus to: (a) record background information on legacy and current supply chain IT systems for SMEs, (b) discuss the importance of both ERP and SCM systems and the complementarities of ERP and SCM systems, (c) present survey conclusions of ERP and SCM systems adoption in various industries and countries, mainly in Europe and reveal the most prominent trends and barriers, (d) identify the technologies that are used to provide integrated view of information for SMEs, with emphases on both technological and organizational dimensions and recommendations to SMEs and (e) provide future trends, possible future areas of work and conclusions. Contemporary SMEs must carefully examine integration approaches and their technological and organizational issues such as hidden integration costs and management of change considered with human organizational concerns, cultures and business objectives. Application Service Providers, Web Services and Service Oriented Architecture as well as ERP and SCM application’s maturity and open source software solutions, especially for SMEs requirements, are amongst the anticipating future trends in the field.

Framework of Knowledge and Intelligence Base

Data Mining ◽  
2013 ◽  
pp. 474-502
Author(s):  
Marc Rabaey ◽  
Roger Mercken
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Information System ◽  
Enterprise Architecture ◽  
Service Oriented Architecture ◽  
Naturalistic Decision Making ◽  
Military Organization ◽  
Knowledge Culture ◽  
It Systems ◽  
Service Oriented

This chapter introduces the concept of the “Intelligence Base,” developed in a study on the information requirement of the management of an (military) organization. The purpose of the study was to conceive, for each level of an organization, an appropriate Decision Support System (DSS) and/or Knowledge and Information System. All systems would eventually have been integrated in an overall Enterprise Architecture (EA). By discussing the OODA-cycle of John Boyd and the Naturalistic Decision Making (NDM) the authors show that the concept of Intelligence Base can be a DSS for very demanding environments. Related topics are knowledge, culture, and real options (business example). The proposed framework is based on Service-Oriented Architecture (SOA) and Cloud Computing, which will determine the configuration of the Information Technology (IT) systems.

scholarly journals Performance analysis of Enterprise Service Buses of Open Source type

2017 ◽  
Vol 66 (1) ◽  
pp. 91-113
Author(s):  
Tomasz Górski ◽  
Kacper Pietrasik
Keyword(s):  
Performance Analysis ◽  
Open Source ◽  
Service Oriented Architecture ◽  
Business Case ◽  
Business Environment ◽  
Performance Tests ◽  
Enterprise Service Bus ◽  
Source Type ◽  
It Systems ◽  
Service Oriented

The growing interest in business integration and interoperability of IT systems led to an increase in the importance of Service-Oriented Architecture (SOA), which provides tools for Enterprise Application Integration (EAI). In this sense, Enterprise Service Bus (ESB) provides technical capabilities for communication between IT systems. The aim of this article is to present the results of performance tests of selected ESBs of Open Source type. The basis for our performance analysis was a business case of the order realization in the Internet shop of electronics retailer. The order realization requires a collaboration of three IT systems. The business case has been implemented with the use of each selected ESBs: WSO2, Mule, and Talend. Test scenarios were defined and performance tests were conducted for each of the three selected ESBs. On the basis of the collected results it can be concluded that each service bus has its own strengths and weaknesses. Focusing on the merits it should be noted that WSO2 copes very well with files of small size, for small number of users, and also does not burden the CPU significantly. Results for Talend ESB, show that it does well with both kind of files, small and large sizes, for large number of users, but harder utilizes CPU. Research shows that it is worth to analyze the parameters of transmitted messages while selecting ESB for building integration solution. The results show that the Talend ESB may be a good choice for construction of integration solution in a business environment with a large number of users and diversified communications. Keywords: Enterprise Service Bus, performance, integration, Service Oriented Architecture

Autonomic Business-Driven Dynamic Adaptation of Service-Oriented Systems and the WSPolicy4MASC Support for Such Adaptation

2010 ◽  
Vol 1 (1) ◽  
pp. 79-95 ◽  
Author(s):  
Vladimir Tosic
Keyword(s):  
Business Value ◽  
Business Strategies ◽  
Dynamic Adaptation ◽  
System Management ◽  
Policy Conflict ◽  
Value Maximization ◽  
It Systems ◽  
Conflict Resolution Strategies ◽  
Service Oriented

When a need for dynamic adaptation of an information technology (IT) system arises, often several alternative approaches can be taken. Maximization of technical quality of service (QoS) metrics (e.g., throughput, availability) need not maximize business value metrics (e.g., profit, customer satisfaction). The goal of autonomic business-driven IT system management (BDIM) is to ensure that operation and adaptation of IT systems maximizes business value metrics, with minimal human intervention. The author presents how his WS-Policy4MASC language for specification of management policies for service-oriented systems supports autonomic BDIM. WS-Policy4MASC extends WS-Policy with new types of policy assertions: goal, action, probability, utility, and meta-policy assertions. Its main distinctive characteristics are description of diverse business value metrics and specification of policy conflict resolution strategies for business value maximization according to various business strategies. The author’s decision making algorithms use this additional WS-Policy4MASC information to choose the adaptation approach best from the business viewpoint.

Framework of Knowledge and Intelligence Base

2012 ◽  
pp. 219-247 ◽  
Author(s):  
Marc Rabaey ◽  
Roger Mercken
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Information System ◽  
Enterprise Architecture ◽  
Service Oriented Architecture ◽  
Naturalistic Decision Making ◽  
Military Organization ◽  
Knowledge Culture ◽  
It Systems ◽  
Service Oriented

This chapter introduces the concept of the “Intelligence Base,” developed in a study on the information requirement of the management of an (military) organization. The purpose of the study was to conceive, for each level of an organization, an appropriate Decision Support System (DSS) and/or Knowledge and Information System. All systems would eventually have been integrated in an overall Enterprise Architecture (EA). By discussing the OODA-cycle of John Boyd and the Naturalistic Decision Making (NDM) the authors show that the concept of Intelligence Base can be a DSS for very demanding environments. Related topics are knowledge, culture, and real options (business example). The proposed framework is based on Service-Oriented Architecture (SOA) and Cloud Computing, which will determine the configuration of the Information Technology (IT) systems.

4SRS-SoaML Method for Deriving a Service-Oriented Architecture From Use Cases Within a SPEM Approach

2019 ◽  
pp. 93-114 ◽  
Author(s):  
Carlos Salgado ◽  
Ricardo J. Machado ◽  
Rita S. P. Maciel
Keyword(s):  
Architectural Design ◽  
Service Oriented Architecture ◽  
Transformation Method ◽  
Use Cases ◽  
Analysis And Design ◽  
Systems Analysis And Design ◽  
Common Structure ◽  
Future Challenges ◽  
Service Oriented ◽  
Detailed Specification

The transformation of requirements specification into an architectural design has been a crucial endeavor for the information systems analysis and design community, with ever-new challenges to tackle. Despite the wide and diverse existing proposals, the lack of a common structure and use of different strategies makes it close to impossible to analyze or compare these approaches. Therefore, the use of model-based methods benefits from a detailed specification in order to support their analysis and evolution, also in comparison to other approaches. Following work on the derivation of a logical architecture from business-process use-cases requirements in a service-oriented approach, the authors propose a detailed specification, within a SPEM approach, of a transformation method, which they further analyze and refurbish in order to meet current and future challenges.

Big Data Analytics With Service-Oriented Architecture

Web Services ◽  
2019 ◽  
pp. 1243-1261
Author(s):  
Triparna Mukherjee ◽  
Asoke Nath
Keyword(s):  
Big Data ◽  
Service Oriented Architecture ◽  
Big Data Analytics ◽  
Dominant Mode ◽  
Volume Velocity ◽  
It Systems ◽  
Trading Partners ◽  
Integration Of Services ◽  
Service Oriented ◽  
Data Explosion

This chapter focuses on Big Data and its relation with Service-Oriented Architecture. We start with the introduction to Big Data Trends in recent times, how data explosion is not only faced by web and retail networks but also the enterprises. The notorious “V's” – Variety, volume, velocity and value can cause a lot of trouble. We emphasize on the fact that Big Data is much more than just size, the problem that we face today is neither the amount of data that is created nor its consumption, but the analysis of all those data. In our next step, we describe what service-oriented architecture is and how SOA can efficiently handle the increasingly massive amount of transactions. Next, we focus on the main purpose of SOA here is to meaningfully interoperate, trade, and reuse data between IT systems and trading partners. Using this Big Data scenario, we investigate the integration of Services with new capabilities of Enterprise Architectures and Management. This has had varying success but it remains the dominant mode for data integration as data can be managed with higher flexibility.

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