Identifying and Implementing the Underlying Operators for Nuclear Magnetic Resonance based Metabolomics Data Analysis

The science of metabolomics is a relatively young field that requires intensive signal processing and multivariate data analysis for interpretation of experimental results. The lack of integration and standardization for metabolomics compounded by the complexity of the experimental data has lead to a fragmented research community. While efforts have been undertaken to approach these problems, the efforts to develop a set of standards for reporting processing and analysis procedures has stalled. In this paper, we propose a set of fundamental operators for nuclear magnetic resonance(NMR) based metabolomics. These operators are implementation independent, and can be used to easily and precisely describe the processing and analysis steps that led to research conclusions. This formalization can facilitate inter-lab communication, and due to its simplicity, it is easily adapted by the metabolomics community. A Domain Specific Language (DSL) is also included to demonstrate an implementation of these operators. The DSL is simple, convenient for a domain scientist, and can be easily transformed into multiple target platforms

Automatic Composition of Semantic Web Services Using Process and Data Mediation

Web service composition has quickly become a key area of research in the services oriented architecture community. One of the challenges in composition is the existence of heterogeneities across independently created and autonomously managed Web service requesters and Web service providers. Previous work in this area either involved significant human effort or in cases of the efforts seeking to provide largely automated approaches, overlooked the problem of data heterogeneities, resulting in partial solutions that would not support executable workflow for real-world problems. In this paper, we present a planning-based approach to solve both the process heterogeneity and data heterogeneity problems. Our system successfully outputs an executable BPEL file which correctly solves non-trivial real-world process specifications outlind in the 2006 SWS Challenge

Service Level Agreement in Cloud Computing

Cloud computing that provides cheap and pay-as-you-go computing resources is rapidly gaining momentum as an alternative to traditional IT Infrastructure. As more and more consumers delegate their tasks to cloud providers, Service Level Agreements(SLA) between consumers and providers emerge as a key aspect. Due to the dynamic nature of the cloud, continuous monitoring on Quality of Service (QoS) attributes is necessary to enforce SLAs. Also numerous other factors such as trust (on the cloud provider) come into consideration, particularly for enterprise customers that may outsource its critical data. This complex nature of the cloud landscape warrants a sophisticated means of managing SLAs. This paper proposes a mechanism for managing SLAs in a cloud computing environment using the Web Service Level Agreement(WSLA) framework, developed for SLA monitoring and SLA enforcement in a Service Oriented Architecture (SOA). We use the third party support feature of WSLA to delegate monitoring and enforcement tasks to other entities in order to solve the trust issues. We also present a real world use case to validate our proposal

Semantic Annotation and Search for Resources in the Next Generation Web with SA-REST

SA-REST, the W3C member submission, can be used for supporting a wide variety of Plain Old Semantic HTML (POSH) annotation capabilities on any type of Web resource. Kino framework and tools provide support of capabilities to realize SA-RESTs promised value. These tools include (a) a browser-plugin to support annotation of a Web resource (including services) with respect to an ontology, domain model or vocabulary, (b) an annotation aware indexing engine and (c) faceted search and selection of the Web resources. At one end of the spectrum, we present KinoE (aka Kino for Enterprise) which uses NCBO formal ontologies and associated services for searching ontologies and mappings, for annotating RESTful services and Web APIs, which are then used to support faceted search. At another end of the spectrum, we present KinoW (aka Kino for the Web), capable of adding SA-REST or Microdata annotations to Web pages, using Schema.org as a model and Linked Open Data (LOD) as a knowledge base. We also present two use cases based on KinoE and the benefits to data and service integration enabled through this annotation approach

Cloud Centric Mobile Application Development using Domain Specific Languages

Stellar growth in use of mobile platforms for business users, combined with rapid business growth in developing countries that have much higher utilization of mobile access have put cloud back-end hosted mobile applications in a sweet spot. By using a cloud mobile combination, computationally intensive services can be delivered right to the consumer anywhere, anytime. Two unmet challenges in developing such applications are managing the development of applications for heterogeneous mobile platforms with equivalent functionality, and maintaining a portable back-end to mitigate any catastrophic outage (such as the recent outage of Amazon EC21 .) This article discusses the mobile application aspects of the MobiCloud [1] approach for rapidly developing cloud-mobile hybrid applications for heterogeneous mobile front-ends and cloud back-ends. MobiCloud exploits the features of Domain Specific Languages (DSLs) to address the difficulty of programming for multiple mobile platforms. It also helps to overcome some of the limitations of mobile platforms by pairing with cloud back-ends

Cloud Centric Mobile Application Development using Domain Specific Languages

Stellar growth in use of mobile platforms for business users, combined with rapid business growth in developing countries that have much higher utilization of mobile access have put cloud back-end hosted mobile applications in a sweet spot. By using a cloud mobile combination, computationally intensive services can be delivered right to the consumer anywhere, anytime. Two unmet challenges in developing such applications are managing the development of applications for heterogeneous mobile platforms with equivalent functionality, and maintaining a portable back-end to mitigate any catastrophic outage (such as the recent outage of Amazon EC21 .) This article discusses the mobile application aspects of the MobiCloud [1] approach for rapidly developing cloud-mobile hybrid applications for heterogeneous mobile front-ends and cloud back-ends. MobiCloud exploits the features of Domain Specific Languages (DSLs) to address the difficulty of programming for multiple mobile platforms. It also helps to overcome some of the limitations of mobile platforms by pairing with cloud back-ends

Cloud Centric Mobile Application Development using Domain Specific Languages

Stellar growth in use of mobile platforms for business users, combined with rapid business growth in developing countries that have much higher utilization of mobile access have put cloud back-end hosted mobile applications in a sweet spot. By using a cloud mobile combination, computationally intensive services can be delivered right to the consumer anywhere, anytime. Two unmet challenges in developing such applications are managing the development of applications for heterogeneous mobile platforms with equivalent functionality, and maintaining a portable back-end to mitigate any catastrophic outage (such as the recent outage of Amazon EC21 .) This article discusses the mobile application aspects of the MobiCloud [1] approach for rapidly developing cloud-mobile hybrid applications for heterogeneous mobile front-ends and cloud back-ends. MobiCloud exploits the features of Domain Specific Languages (DSLs) to address the difficulty of programming for multiple mobile platforms. It also helps to overcome some of the limitations of mobile platforms by pairing with cloud back-ends

Cloud Centric Mobile Application Development using Domain Specific Languages

Stellar growth in use of mobile platforms for business users, combined with rapid business growth in developing countries that have much higher utilization of mobile access have put cloud back-end hosted mobile applications in a sweet spot. By using a cloud mobile combination, computationally intensive services can be delivered right to the consumer anywhere, anytime. Two unmet challenges in developing such applications are managing the development of applications for heterogeneous mobile platforms with equivalent functionality, and maintaining a portable back-end to mitigate any catastrophic outage (such as the recent outage of Amazon EC21 .) This article discusses the mobile application aspects of the MobiCloud [1] approach for rapidly developing cloud-mobile hybrid applications for heterogeneous mobile front-ends and cloud back-ends. MobiCloud exploits the features of Domain Specific Languages (DSLs) to address the difficulty of programming for multiple mobile platforms. It also helps to overcome some of the limitations of mobile platforms by pairing with cloud back-ends