Large-Scale Computational Finance Applications on the Open Grid Service Environment

2005 ◽  
pp. 891-899 ◽  
Author(s):  
Ronald Hochreiter ◽  
Clemens Wiesinger ◽  
David Wozabal
Keyword(s):  
Large Scale ◽  
Grid Service ◽  
Computational Finance ◽  
Service Environment

scholarly journals Towards a Protocol for the Attachment of Metadata to Grid Service Descriptions and Its Use in Semantic Discovery

2004 ◽  
Vol 12 (4) ◽  
pp. 201-211 ◽  
Author(s):  
Simon Miles ◽  
Juri Papay ◽  
Terry Payne ◽  
Michael Luck ◽  
Luc Moreau
Keyword(s):  
Distributed Systems ◽  
Service Discovery ◽  
Large Scale ◽  
Grid Service ◽  
Semantic Grid ◽  
Essential Component ◽  
Open Distributed Systems ◽  
Semantically Enhanced ◽  
Semantic Service ◽  
Semantic Discovery

Service discovery in large scale, open distributed systems is difficult because of the need to filter out services suitable to the task at hand from a potentially huge pool of possibilities. Semantic descriptions have been advocated as the key to expressive service discovery, but the most commonly used service descriptions and registry protocols do not support such descriptions in a general manner. In this paper, we present a protocol, its implementation and an api for registering semantic service descriptions and other task/user-specific metadata, and for discovering services according to these. Our approach is based on a mechanism for attaching structured and unstructured metadata, which we show to be applicable to multiple registry technologies. The result is an extremely flexible service registry that can be the basis of a sophisticated semantically-enhanced service discovery engine, an essential component of a Semantic Grid.

scholarly journals Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment

2020 ◽  
Vol 48 (1) ◽  
pp. 25-26
Author(s):  
Fred Lin ◽  
Keyur Muzumdar ◽  
Nikolay Pavlovich Laptev ◽  
Mihai-Valentin Curelea ◽  
Seunghak Lee ◽  
...  
Keyword(s):  
Dimensional Analysis ◽  
Large Scale ◽  
Service Environment ◽  
Root Cause

Service Oriented Storage System Grid

2009 ◽  
pp. 126-135
Author(s):  
Yuhui Deng ◽  
Frank Zhigang Wang ◽  
Na Helian
Keyword(s):  
Large Scale ◽  
Distributed Storage ◽  
Single Point ◽  
Storage System ◽  
Grid Service ◽  
Grid Services ◽  
Service Oriented ◽  
Geographically Distributed ◽  
Composite Services ◽  
And Performance

Storage Grid is a new model for deploying and managing the heterogeneous, dynamic, large-scale, and geographically distributed storage resources. This chapter discusses the challenges and solutions involved in building a Service Oriented Storage (SOS) Grid. By wrapping the diverse storage resources into atomic Grid services and federating multiple atomic Grid services into composite services, the SOS Grid can tackle the heterogeneity and interoperability. Peer-to-peer philosophy and techniques are employed in the SOS Grid to eliminate the system bottleneck and single point of failure of the traditional centralized or hierarchical Grid architecture, while providing dynamicity and scalability. Because Grid service is not designed for critical and real-time applications, the SOS Grid adopts Grid service to glue the distributed and heterogeneous storage resources, while using binary code to transfer data. The proposed methods strike a good balance among the heterogeneity, interoperability, scalability and performance of the SOS Grid.

scholarly journals Coping with climate risk in agriculture needs farmer oriented research and extension policies

2008 ◽  
Vol 65 (spe) ◽  
pp. 108-115 ◽  
Author(s):  
Kees Stigter
Keyword(s):  
Rural Areas ◽  
Large Scale ◽  
Farming Systems ◽  
Farming System ◽  
External Input ◽  
Multiple Cropping ◽  
Service Environment ◽  
Pests And Diseases ◽  
Sole Cropping ◽  
Field Schools

The first necessary change for agrometeorology, in generally lower (external) input parts of agriculture in developing countries, is on research and extension. They have to refocus to preparedness for risks and uncertainties of local farming systems in need of support in four defined directions of prioritization, emphasis depending on the farming system concerned. These are (i) extreme events and their consequences caused by meteorological and climatological disasters on all time scales, including related aversion attempts; (ii) pests and diseases, including countervailing measures; (iii) trying to use beneficial climate and weather and (iv) applications of agrometeorological services. The second necessary change for such agrometeorology is participation of farmers in the establishment of agrometeorological services with well trained intermediaries in such undertakings as Climate Field Schools. The third necessary change is that agrometeorological services should be developed in such a way as to increase the resilience of farmers, in line with further and wider developments to be stimulated in rural areas. The most important and most insecure factors, however, will have to do with the socio-political allies to be supported to create - and keep everywhere - on a large scale the enabling environment. To sole cropping work, to which most response farming advisories were dedicated, if any, multiple cropping agrometeorological services have to be added. They should ideally belong to a new service environment in rural areas in progressing countries.

scholarly journals Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment

2020 ◽  
Vol 4 (2) ◽  
pp. 1-23
Author(s):  
Fred Lin ◽  
Keyur Muzumdar ◽  
Nikolay Pavlovich Laptev ◽  
Mihai-Valentin Curelea ◽  
Seunghak Lee ◽  
...  
Keyword(s):  
Dimensional Analysis ◽  
Large Scale ◽  
Service Environment ◽  
Root Cause

Automatic Manufacturing Cloud Service Composition Based on AI Plan

2014 ◽  
Vol 513-517 ◽  
pp. 990-993 ◽  
Author(s):  
Pei Si Zhong ◽  
Shao Qi Zhu ◽  
De Jie Huang ◽  
Hai Liang Xin
Keyword(s):  
Service Composition ◽  
Large Scale ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Search Method ◽  
Added Value ◽  
Service Environment ◽  
Manufacturing Resources ◽  
Cloud Service Composition ◽  
Automatic Manufacturing

Manufacturing cloud service composition is the key way to improve the utilization of manufacturing resources and manufacturing capabilities, realize added value and efficiency of manufacturing resources and manufacturing capabilities. It has great significance on cloud manufacturing implementation and carry. Therefore, the paper presents automatic forwarding search method called AMCSC-HFS for manufacturing cloud service composition based on AI plan. The main purpose is to support meeting the actual need of large-scale and dynamic cloud manufacturing cloud service environment.

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