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Cloud Computing for e-Science with CARMEN
- In 2nd Iberian Grid Infrastructure Conference Proceedings
, 2008
"... Abstract. The CARMEN e-science project (www.carmen.org.uk) is designing a system to allow neuroscientists to share, integrate and analyse data. Globally, over 100,000 neuroscientists are working on the problem of understanding how the brain works. This is a major challenge that could revolutionise b ..."
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Abstract. The CARMEN e-science project (www.carmen.org.uk) is designing a system to allow neuroscientists to share, integrate and analyse data. Globally, over 100,000 neuroscientists are working on the problem of understanding how the brain works. This is a major challenge that could revolutionise biology, medicine and computer science. Solving it requires investigating how the brain encodes, transmits and processes information. In this paper we describe the CARMEN system. This is a generic e-science platform "in the cloud " which enables data sharing, integration and analysis supported by metadata. An expandable range of services are provided to extract added value from the data. CARMEN is accessed over the Web by neuroinformaticians, who are populating it with content in the form of both data and services. We describe the design of CARMEN and show how it is being used to support neuroscience. 1.
UNIVERSITY OF NEWCASTLE UPON TYNE
, 1161
"... Open, distributed and multi-party systems provide an infrastructure on which electronic transactions between organizations can be performed, pervading social and political boundaries to facilitate the realization of novel organizational paradigms. Electronic transactions are, though, prone to uncert ..."
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Open, distributed and multi-party systems provide an infrastructure on which electronic transactions between organizations can be performed, pervading social and political boundaries to facilitate the realization of novel organizational paradigms. Electronic transactions are, though, prone to uncertainty amongst organizations and which can lead to a perception of vulnerability to exploitative behavior. In the presence of such behavior, the economic viability of electronic transactions is endangered. Organizations may perceive a vulnerability to such opportunistic behavior, and therefore decide not to participate. In order to retain the economic viability of these transactions, organizations must perceive an alignment of interests with those of the other organization in the transaction. Institutions can define behavioral constraints over the organizations in the transaction to manipulate the interests of an organization to attain alignment, such that the behavior of each organization is cooperative, and in the mutual interest. In this paper, we investigate the utilization of institutions in electronic transactions to attain cooperation and trust in cooperation, and the realization of these institutions as distributed protocols.
Exploiting Dynamic Deployment in a Distributed Query Processor for the Grid
, 2008
"... The adoption of the "Web Services" model for building a Grid framework created a considerable shift from the original concept of Grid which was based on "distributed job scheduling". The requirement for the access and integration of heterogeneous data resources over the Grid, and ..."
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The adoption of the "Web Services" model for building a Grid framework created a considerable shift from the original concept of Grid which was based on "distributed job scheduling". The requirement for the access and integration of heterogeneous data resources over the Grid, and the advances in service-oriented data access standards led to the development of a service-oriented distributed query processor, which forms the basis of this thesis. The adoption of service-orientation raised the need for a framework which would allow demand-driven deployment of Web Services on available resources. Research into such concepts led to the development of DynaSOAr, a framework which proposed an alternative approach to distributed job scheduling by focussing entirely on the concept of services, rather than the more traditional jobs. DynaSOAr allows services to be deployed on demand to meet changing performance requirements and exploits the advances made in virtualization technologies to support the deployment of services and databases.
CARMEN: a Scalable Science Cloud
"... Understanding how the brain works is a major scientific challenge which will benefit medicine, biology and computer science. Globally, over 100,000 neuroscientists are working on this problem. However, the ..."
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Understanding how the brain works is a major scientific challenge which will benefit medicine, biology and computer science. Globally, over 100,000 neuroscientists are working on this problem. However, the
On using Virtual Machines for Adaptive Distributed Query Processing in Grids
, 1084
"... Grid computing has made it possible for users to perform computationally expensive applications on dynamically acquired distributed resources. Users can combine data and analysis components distributed over the globe to build new, complex applications. Distributed query processing is now an establis ..."
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Grid computing has made it possible for users to perform computationally expensive applications on dynamically acquired distributed resources. Users can combine data and analysis components distributed over the globe to build new, complex applications. Distributed query processing is now an established way of structuring computation and analysis over structured data, and well-used Grid tools like OGSA-DAI and OGSA-DQP provide respectively a common interface to heterogeneous databases and a way of exploiting distributed resources. Unfortunately, the potential benefits are often undermined when databases and computational services are distributed over a wide area resulting in significant computation and communication costs. This paper describes a system that addresses this by allowing key components including query operators, computational services and databases to be dynamically deployed in virtual machines over a Grid. Databases are replicated within virtual machines which are automatically deployed by the system which monitors the performance over a set of queries using a feedback mechanism. Results of internetscale experiments are presented to show the performance benefits.
