Erscheinungsdatum: 11.07.2015, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Supporting Quality of Service in Scientific Workflows, Titelzusatz: A Novel Approach to Workflow Quality of Service that utilizes Infrastructure as a Service (IaaS)-based Cloud Platforms, Autor: Dörnemann, Tim, Verlag: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, Sprache: Englisch, Rubrik: Datenkommunikation // Netze, Mailboxen, Seiten: 236, Informationen: Paperback, Gewicht: 368 gr, Verkäufer: averdo
Supporting Quality of Service in Scientific Workflows ab 79.9 € als Taschenbuch: A Novel Approach to Workflow Quality of Service that utilizes Infrastructure as a Service (IaaS)-based Cloud Platforms. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,
Supporting Quality of Service in Scientific Workflows ab 79.9 EURO A Novel Approach to Workflow Quality of Service that utilizes Infrastructure as a Service (IaaS)-based Cloud Platforms
In today's global market, a holistic view of the supply chain management becomes a key factor for the successful business. Supply chain management addresses the issues of cross-functional integration and inter-organizational functions ranging from the ordering and receipt of raw materials throughout the manufacturing processes, to the distribution and delivery of products to the customer. Its application enables organizations to achieve quality products, better customer service and lower inventory cost. In order to achieve high performance, supply chain functions must operate in an integrated and coordinated manner. Several challenging problems associated with integrated supply chain design are: (1) how to model and coordinate the supply chain business processes, specifically in the area of supply chain workflows, (2) how to analyze the performance of an integrated supply chain network so that optimization techniques can be employed to improve customer service and reduce inventory cost, and (3) how to evaluate dynamic supply chain networks and obtain a comprehensive understanding of decision-making issues related to supply network configurations.
Service Level Agreements (SLAs) are currently one of the major research topics in Grid/Cloud Computing, as they serve as a foundation for reliable and predictable business Grids. Managing SLA-aware compositional services is a complex task, as characteristics of business relations, correlated sub-jobs, data transfer phases, deadline constraints and possible failures have to be considered. Thus, the system handling SLA-aware workflow in the business Grid needs sophisticated business model, sub-job mapping, data transfer optimization and fault reaction. Therefore, this book presents the latest theories and a prototype implementation of a system handling SLA-aware Grid workflows. The main contributions include a business model, a set of mapping and optimization algorithms for sub-jobs assignment to Grid resources, an SLA negotiation protocol, an error recovery mechanism, and a prototype implementation using standard middleware. Experimental measurements prove the quality of the development.
Service Level Agreements (SLAs) are currently one of the majorresearch topics in Grid Computing, as they serve as a foundation forreliable and predictable Grids. SLAs define an explicit statement ofexpectations and obligations in a business relationship betweenprovider and customer. Thus, SLAs should guarantee the desired anda-priori negotiated Quality of Service (QoS), which is a mandatoryprerequisite for the Next Generation Grids. The complexity of an SLA-based workflow grows significantly, as characteristics of correlated sub-jobs, the data transfer phases, the deadline constraints and possible failures have to be considered. Thus, an architect for an SLA-aware workflow implementation needs sophisticated mechanisms for specification and management, sub-job mapping, data transfer optimization and fault reaction. Therefore, this dissertation presents a system for SLA-aware Grid workflows. The main contributions include an improved specification language for SLA-aware workflows, three mapping and optimization algorithms for sub-job assignment to Grid resources, an error recovery mechanism, and a prototype implementation using standard middleware.
Service-oriented architecture (SOA) is gaining more and more momentum in today's software engineering, for its ease of integrating heterogeneous systems. Web services allow for building complex and dynamic systems where single components can be discovered at run-time by means of certain criteria like Quality of Service (QoS) information. QoS-aware service management and composition highly depends on this valuable data, but most of the currently proposed solutions assume that this information is readily available. This book addresses this fundamental issue by providing methods to monitor the performance of WCF Web services and composite Web services - also called workflows. The proposed solutions integrate into the Microsoft Windows and .NET environment and provide highly accurate QoS data, which can be used by third party workflow engines to dynamically bind to and invoke Web services.