Ins and outs of discovery layers: EDS and Encore

Deakin University Library offers a number of search and discovery tools to its user communities: a web scale discovery product, a faceted display catalogue and a traditional catalogue. The presentation provides an overview of the challenges the Library has faced in its attempt to offer a seamless, comprehensive search and discovery service, that facilitates the finding of information resources. The information literacy and research skill levels of the University’s various cohort groups are considered, as well as the important role metadata plays in leading users to the resources they want.

Publishing dynamic state changes of resources through state aware WSDL

A common architecture in today's development of distributed systems is the service-oriented architecture (SOA) implemented using Web services. Until recently, it was difficult to build a SOA based grid/distributed system using Web services due to the inability to learn the state of services. The state of a Web service could only be accessed through specialized clients and/or services. Should the specialized client or service fail, the state can't be accessed. This paper shows the innovative resources via Web instances (RVWI) framework. RVWI grants to web services the ability to show the state of dynamic resources in their WSDL. This was achieved via software components called connectors which watch for any changes in a resource and updates the web service. The significance of this report is the support for resources which can change state between requests and the innovation is the improvement of state updates between the service and discovery services.

Algorithm for web services matching

UDDI is a standard for publishing and discovery of web services. UDDI registries provide keyword searches for web services. The search functionality is very simple and fails to account for relationships between web services. In this paper, we propose an algorithm which retrieves closely related web services. The proposed algorithm is based on singular value decomposition (SVD) in linear algebra, which reveals semantic relationships among web services. The preliminary evaluation shows the effectiveness and feasibility of the algorithm.

Enhancing UDDI for grid service discovery by using dynamic parameters

A major problem for a grid user is the discovery of currently available services. With large number of services, it is beneficial for a user to be able to discover the services that most closely match their requirements. This report shows how to extend some concepts of UDDI such that they are suitable for dynamic parameter based discovery of grid services.

Meaningful UDDI web services description

There is a lack of meaningful description of Web Services in UDDI, however, it is necessary for automatic services discovery. In this paper, a language is proposed for semantics description of Web Services which complements the UDDI standards to derive relationships among Web Services. The semantics description can be used to automatically derive relationships among Web Services. We describe how the semantics description of Web Services, based on the proposed language, can be integrated with UDDI.

Agents for invocation of web services

Web services are becoming popular and widely accepted on the Internet. UDDI is the standard for publishing and discovery of web services. In this paper, we investigate semantics description of web services based on domain ontology; based on this language, we propose an architecture for invoking agents to consume services within the UDDI registry. The semantics service description language together with agent creation
architecture provides a new way to discover and utilise published web services. This method is flexible and extendable to accomplish complex web service requests.

Enhancing clouds, internet-scale distributed systems, using attributed web services

This thesis presents a new framework allowing cloud services to be stateful, cloud resource state and characteristics to be published, and brokering for easy cloud resource discovery and selection to be offered. Using the framework, new technology developed significantly simplifies the discovery, selection and use of clusters on the Internet.

Service discovery for service-oriented content adaptation

Service-Oriented Content Adaptation (SOCA) has emerged as a potential solution to the content-device mismatch problem. One of the key problems with the SOCA scheme is that a content adaptation task can potentially be performed by multiple services. In this paper, we propose an approach to the service discovery problem for SOCA and it is demonstrated to perform well.

Toward ease of discovery, selection and use of clusters within a cloud

While the emergence of clouds had lead to a significant paradigm shift in business and research, cloud computing is still in its infancy. Specifically, there is no effective publication and discovery service nor are cloud services easy to use. This paper presents a new technology for offering ease of discovery, selection and use of clusters hosted within clouds. By improving these services, cloud clusters become easily accessible to all clients, software services to noncomputing human user.

A protocol for discovering content adaptation services

Service-oriented content adaptation scheme has emerged to address content adaptation problem. In this scheme, content adaptation functions are provided as services by multiple providers, located across wide area network. To benefit from these services, clients must be able to locate them in the network. This makes service discovery as an important component. In this paper, we propose a service discovery protocol that takes into account searching space, searching time, QoS and physical location of the potential providers. The performance of the proposed protocol is studied in term of discoverability under various conditions and shown to be substantially better than the keyword-based and QoS-based approaches.

Multimedia content adaptation service discovery mechanism

Electronic information is becoming increasingly rich in content and varied in format and style while at the same time client devices are getting increasingly varied in their capabilities. This mismatch between rich contents and the end devices capability presents a challenge in providing seamless and ubiquitous access to electronic documents to interested users. Service-oriented content adaptation has emerged as a potential solution to the content-device mismatch problem. Since an adaptation task can potentially be performed by multiple content adaptation services (CAS), an approach for CAS discovery is a fundamental component of service-oriented content adaptation environment. In this paper, we propose a service discovery approach that considers the client device capability and the service’s attributes to discover appropriate CAS while optimizing performance and functionality. The efficiency of the proposed CAS discovery protocol is studied experimentally. The results show that the proposed discovery approach is effective in terms of discovering appropriate content adaptation services.

Quality of service-based service level agreement management framework for hydrocarbon exploration and discovery operation

 The major contributions presented in this thesis are twofold. Firstly, it presents the research towards a unique services-based Hydrocarbon Exploration and Discovery Model that demonstrates the feasibility of using advanced ICT technologies in the reproduction of stages involved in an oil and gas discovery, processing and analysis process. Secondly, the research demonstrated a solution of the problems in providing agreed level of quality of service (QoS) and formalizing of appropriate Service Level Agreements (SLA) within such complex environment where different services within the model can be delivered by a variety of service providers

Exposing HPC and sequential applications as services through the development and deployment of a SaaS cloud

Cloud and service computing has started to change the way research in science, in particular biology and medicine, is being carried out. Researchers that have taken advantage of this technology (making use of public and private cloud compute resources) can process large amounts of data (big data) and speed up discovery. However, this requires researchers to acquire a solid knowledge and skills in the development of sequential and high performance computing (HPC), and cloud development and deployment background. In response a technology exposing HPC applications as services through the development and deployment of a SaaS cloud, and its proof of concept in the form of implementation of a cloud environment, Uncinus, has been developed and implemented to allow researchers easy access to cloud computing resources. The new technology offers and Uncinus supports the development of applications as services and the sharing of compute resources to speed up applications' execution. Users access these cloud resources and services through web interfaces. Using the Uncinus platform, a bio-informatics workflow was executed on a private (HPC) cloud, server and public cloud (Amazon EC2) resources, performance results showing a 3 fold improvement compared to local resources' performance. Biology and medicine specialists with no programming and application deployment on clouds background could run the case study applications with ease.