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Crash-Only Web Services:Failure Semantics in an SOA Environment
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Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
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Web services are the new innovation in this era. Because of the cross-platform and language independent nature of the web services, it is getting accepted by the various industries. Revolution in Service Oriented Architecture (SOA) has created numerous web service users. Different choices of services are available to meet the specific requirement of customers. At the same time, customer needs quality service. Selecting the web service which meets all the Quality of Service (QoS) requirement specified by the consumer in the Service Level Agreement is a tedious task today. One of the predominant QoS factor is reliability of the web service. Evaluation of reliability on web services and selecting the best one among the different choices are needed now. This paper focuses on the design of reliability evaluation framework for the composite web services.
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In today’s scenario, most of the organizations provide the services through the web. This makes the web service an important research area. In addition, early design and building web services, it is necessary to concentrate on the quality of web services. Performance is an important quality attributes that to be considered during the designing of web services. The expected performance can be achieved by proper scheduling of resources and scalability of the system. Scalability is a desirable attribute of a process computer system or network. Poor scalability can result in lacking system performance. Hence, in this paper, we have reviewed the literature available for the quality attributes of performance and scalability and identified the issues that affect the quality attributes related to Web Services.
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We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising. This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Study: The Future of VR, AR and Self-Driving Cars
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Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems? Here’s what AI learnings your business should keep in mind for 2017.
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In today’s scenario, most of the organizations provide the services through the web. This makes the web service an important research area. In addition, early design and building web services, it is necessary to concentrate on the quality of web services. Performance is an important quality attributes that to be considered during the designing of web services. The expected performance can be achieved by proper scheduling of resources and scalability of the system. Scalability is a desirable attribute of a process computer system or network. Poor scalability can result in lacking system performance. Hence, in this paper, we have reviewed the literature available for the quality attributes of performance and scalability and identified the issues that affect the quality attributes related to Web Services
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SOA (Service-Oriented Architecture) filled the gap between software and commercial enterprise. SOA integrates multiple web services. We bear to secure the caliber of web services that gives guarantee about what network services work and their output results. There is close to work has to be performed for an automatic test case generation for SOA based services. But, full coverage of XML elements is missing. To the best of our knowledge this all works do not attempt to cover all possible elements of the XML schema presents in the WSDL file. There is also a need to apply different assertions on each service operation for generating the test cases. To overcome this problem we proposed a novel testing model for SOA based application. This new testing model helps us to get the automatic test cases of SOA based application. We build up our new test model with the aid of our proposed test case generation algorithm and test case selection algorithm. In the end, we generate the test suite execution results and find the coverage of XML schema elements present in the WSDL file.
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Service Oriented Architecture facilitates automatic execution and composition of web services in distributed environment. This service composition in the heterogeneous environment may suffer from various kinds of service failures. These failures interrupt the execution of composite web services and lead towards complete system failure. The dynamic recovery decisions of the failed services are dependent on non-functional attributes of the services. In the recent years, various methodologies have been presented to provide recovery decisions based on time related QoS (Quality of Service) factors. These QoS attributes can be categorized further. Our paper categorized these attributes as space and time. In this paper, we have proposed an affinity model to quantify the location affinity for composition of web services. Furthermore, we have also suggested a replication mechanism and algorithm for taking recovery decisions based on time and space based QoS parameters and usage pattern of the services by the user.
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ijwscjournal
Service Oriented Architecture facilitates automatic execution and composition of web services in distributed environment. This service composition in the heterogeneous environment may suffer from various kinds of service failures. These failures interrupt the execution of composite web services and lead towards complete system failure. The dynamic recovery decisions of the failed services are dependent on non-functional attributes of the services. In the recent years, various methodologies have been presented to provide recovery decisions based on time related QoS (Quality of Service) factors. These QoS attributes can be categorized further. Our paper categorized these attributes as space and time. In this paper, we have proposed an affinity model to quantify the location affinity for composition of web services. Furthermore, we have also suggested a replication mechanism and algorithm for taking recovery decisions based on time and space based QoS parameters and usage pattern of the services by the user.
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Topic The top 5 details that should be included in your cloud SLA. Read and respond to below two student’s discussions. (5-6 lines would be more sufficient) reflecting on your own experience, challenging assumptions, pointing out something new you learned, offering suggestions #1.Posted by Krishnaveni A service-level agreement (SLA) defines the level of service expected by a customer from a supplier, laying out the metrics by which that service is measured, and the remedies or penalties, if any, should the agreed-on service levels not be achieved. Usually, SLAs are between companies and external suppliers, but they may also be between two departments within a company. In my point of view below are five key things we need to consider. Disaster recovery and backup In the event of a disaster, our cloud provider should have a plan in place to prevent total loss of our data. Cloud providers should have a section of the SLA that describes their disaster recovery and backup solutions in detail. Depending on the provider, they may provide automatic backups and snapshots of our data. If the user is required to set up backup and recovery systems, the SLA should outline that. It may not specifically state how to activate them, but we should be aware if we need to activate them or not. Data source. “Where is the information coming from that will be used to measure the provider’s compliance?” In many situations, a customer may have to rely on the cloud provider to provide the information; however, increasingly, there are third parties that can help the customer with this. In a perfect world, the data should be auditable by the customer to verify the data’s accuracy, reliability and validity. Acceptable performance. This item specifies the minimum level of service that must be provided, and it answers the question, “What do we want from the provider for this particular service?” It flows from and is directly related to the customer’s objectives under the contract. In the cloud, many SLAs are expressed in terms of availability. For example, a SaaS provider may commit to an application availability of 99.5%. Scalability Many SLAs are designed to meet the needs of the customer at the time of signing, but we all know organizations can change dramatically in size over time. Make sure the SLA details intervals for reviewing a contract so that if our organization grows larger, our cloud capacity can grow with it (and if our organization happens to grow smaller, we’ll want the option to reduce capacity; no sense it paying for unused capacity). Customer responsibilities The SLA is a contract that outlines responsibilities that both the provider and customer agree to. Our cloud provider needs to inform us of what we’re liable for when we enter the agreement. It could be its own section or sprinkled throughout the agreement, but it must tell us what’s expected of us. Make sure we mull over the entirety of the SLA to know what our provider will manage and what we nee ...
Topic The top 5 details that should be included in your cloud SLA..docx
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Discusses the how microservices fit into the ever evolving integration architecture, looking at how these concepts are often seen very differently through the eyes of enterprises with different lanscapes.
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The growing proliferation of distributed information systems, allows organizations to offer their business processes to a worldwide audience through Web services. Semantic Web services have emerged as a means to achieve the vision of automatic discovery, selection, composition, and invocation of Web services by encoding the specifications of these software components in an unambiguous and machine-interpretable form. Several frameworks have been devised as enabling technologies for Semantic Web services. In this paper, we survey the prominent Semantic Web service frameworks. In addition, a set of criteria is identified and the discussed frameworks are evaluated and compared with respect to these criteria. Knowing the strengths and weaknesses of the Semantic Web service frameworks can help researchers to utilize the most appropriate one according to their needs.
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The growing proliferation of distributed information systems, allows organizations to offer their business processes to a worldwide audience through Web services. Semantic Web services have emerged as a means to achieve the vision of automatic discovery, selection, composition, and invocation of Web services by encoding the specifications of these software components in an unambiguous and machine-interpretable form. Several frameworks have been devised as enabling technologies for Semantic Web services. In this paper, we survey the prominent Semantic Web service frameworks. In addition, a set of criteria is identified and the discussed frameworks are evaluated and compared with respect to these criteria. Knowing the strengths and weaknesses of the Semantic Web service frameworks can help researchers to utilize the most appropriate one according to their needs.
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Most of current Software-as-a-Service (SaaS) applications are developed as customizable service-oriented applications that serve a large number of tenants (users) by one application instance. The current rapid evolution of SaaS applications increases the demand to study the commonality and variability in software product lines that produce customizable SaaS applications. During runtime, Customizability is required to achieve different tenants’ requirements. During the development process, defining and realizing commonalty and variability in SaaS applications’ families is required to develop reusable, flexible, and customizable SaaS applications at lower costs, in shorter time, and with higher quality. In this paper, Orthogonal Variability Model (OVM) is used to model variability in a separated model, which is used to generate simple and understandable customization model. Additionally, Service oriented architecture Modeling Language (SoaML) is extended to define and realize commonalty and variability during the development of SaaS applications.
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In service oriented computing, services are the basic construct that aims to facilitate building of business application in a more flexible and interoperable manner for enterprise collaboration. To satisfy the needs of clients and to adapt to changing needs, service composition is performed in order to compose the various capabilities of available services. With the proliferation of services offering similar functionalities around the web, the task of service selection for service composition is complicated. It is vital to provide service consumers with facilities for selecting required web services according to their non-functional characteristics or quality of service (QoS). Therefore, the process of service selection is complicated due to divergent view of service consumers and service providers on the quality of services. The objective of this paper presents the exploration of various techniques of Quality of Service based Service Selection (QSS) approach in the literature. To evaluate the service selection process, a number of criteria for QSS approach have been identified and presented in this paper.
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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Boost PC performance: How more available memory can improve productivity
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Principled Technologies
Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
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Crash Only Web Services
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Crash-Only Web Services:
Failure Semantics in an SOA Environment www.oasis-open.org Chris Hobbs and Abbie Barbir Nortel OASIS Symposium 2007, San Diego
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