An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Automating XML documents transformations: a conceptual modelling based approach
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
The Knowledge Engineering Review
Semantic WS-agreement partner selection
Proceedings of the 15th international conference on World Wide Web
Adaptive Name Matching in Information Integration
IEEE Intelligent Systems
Service level agreements: an ontological approach
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Towards Unified QoS/SLA Ontologies
SCW '06 Proceedings of the IEEE Services Computing Workshops
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Automatic record linkage using seeded nearest neighbour and support vector machine classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Service composition using service selection with WS-agreement
Proceedings of the 2nd Bangalore Annual Compute Conference
Future Generation Computer Systems
A Survey and Analysis on Semantics in QoS for Web Services
AINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications
Requirements for QoS-Based Web Service Description and Discovery
IEEE Transactions on Services Computing
Semantic matching: algorithms and implementation
Journal on data semantics IX
WAINA '10 Proceedings of the 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops
Evaluation of entity resolution approaches on real-world match problems
Proceedings of the VLDB Endowment
Flexible SLA negotiation using semantic annotations
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Using SLA mapping to increase market liquidity
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Towards Self-Awareness in Cloud Markets: A Monitoring Methodology
DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
Cost-Efficient Utilization of Public SLA Templates in Autonomic Cloud Markets
UCC '11 Proceedings of the 2011 Fourth IEEE International Conference on Utility and Cloud Computing
Cost-benefit analysis of an SLA mapping approach for defining standardized Cloud computing goods
Future Generation Computer Systems
Hi-index | 0.00 |
Cloud computing is a novel computing paradigm that offers data, software, and hardware services in a manner similar to traditional utilities such as water, electricity, and telephony. Usually, in Cloud and Grid computing, contracts between traders are established using Service Level Agreements (SLAs), which include objectives of service usage. However, due to the rapidly growing number of service offerings and the lack of a standard for their specification, manual service selection is a costly task, preventing the successful implementation of ubiquitous computing on demand. In order to counteract these issues, automatic methods for matching SLAs are necessary. In this paper, we introduce a method for finding semantically equal SLA elements from differing SLAs by utilizing several machine learning algorithms. Moreover, we utilize this method to enable automatic selection of optimal service offerings for Cloud and Grid users. Finally, we introduce a framework for automatic SLA management, present a simulation-based evaluation, and demonstrate several significant benefits of our approach for Cloud and Grid users.