A Cluster Operating System Supporting Parallel Computing
Cluster Computing
Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI
IEEE Internet Computing
AusGrid '08 Proceedings of the sixth Australasian workshop on Grid computing and e-research - Volume 82
Job monitoring and steering in D-Grid's High Energy Physics Community Grid
Future Generation Computer Systems
Publishing Dynamic State Changes of Resources through State Aware WSDL
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Contextualization: Providing One-Click Virtual Clusters
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Future Generation Computer Systems
Attributed Publication and Selection for Web Service-Based Distributed Systems
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Guest Editor's Introduction: Cloud Computing for the Sciences
Computing in Science and Engineering
A resource discovery tree using bitmap for grids
Future Generation Computer Systems
Grid resource discovery based on semantically linked virtual organizations
Future Generation Computer Systems
GMBS: A new middleware service for making grids interoperable
Future Generation Computer Systems
Management applications of the web service offerings language (WSOL)
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Knowledge cloud system for network collaboration: A case study in medical service industry in China
Expert Systems with Applications: An International Journal
Journal of Systems and Software
Computers & Mathematics with Applications
Criteria for the Evaluation of a Cloud-Based Hospital Information System Outsourcing Provider
Journal of Medical Systems
Assessing the replaceability of service protocols in mediated service interactions
Future Generation Computer Systems
Future Generation Computer Systems
Matchmaking of IaaS cloud computing offers leveraging linked data
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Future Generation Computer Systems
Behavioral modeling and formal verification of a resource discovery approach in Grid computing
Expert Systems with Applications: An International Journal
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Cloud computing is an emerging paradigm where computing resources are offered over the Internet as scalable, on-demand (Web) services. While cloud vendors have concentrated their efforts on the improvement of performance, resource consumption and scalability, other cloud characteristics have been neglected. On the one hand cloud service providers face difficult problems of publishing services that expose resources, and on the other hand cloud clients do not have the means for discovery and automatic services' selection, and easy use of services. In response, proposed in this article is the application of the Resources Via Web Services framework (RVWS) to offer higher level abstraction of clouds in the form of a new technology. Our new technology makes possible the provision of service (and resource) publication, discovery and selection based on dynamic attributes which express the current state and characteristics of cloud services and resources. A proof of concept implementation that allowed the easy publication, discovery, selection and use of an existing cluster (one of the most frequently used cloud resource) via a simple interface using Web pages backed by extensive sets of tests has demonstrated that the design is sound and the proposed technology is feasible. The proposed solution is significant: instead of spending time and effort locating, evaluating and learning about clusters, clients are able to easily discover, select and use the required resources. Furthermore, service providers (which can be entities external to clouds themselves) can easily publish (and keep current) information about their services (and the resources behind them).