Scalability GATHERING THE EVIDENCE : SUPPORTING LARGE - SCALE RESEARCH DEPLOYMENTS
نویسندگان
چکیده
Independent living technologies have tremendous potential to facilitate the study of aging and chronic disease. By collecting medical and behavioral data continuously as people live their daily lives, we are able to form a much clearer picture of the changes in people’s health, and the efficacy of treatments over time, than is possible by using periodic clinical visits. However, deploying these technologies in large-scale clinical trials poses unique challenges. In this article we review those areas in which independent living technologies can provide significantly improved research data, and the challenges that must be overcome to effectively gather those data. We propose approaches, both technical and procedural, which enable efficient management of large-scale research studies, and we discuss scalability issues and their possible solutions.
منابع مشابه
LPKP: location-based probabilistic key pre-distribution scheme for large-scale wireless sensor networks using graph coloring
Communication security of wireless sensor networks is achieved using cryptographic keys assigned to the nodes. Due to resource constraints in such networks, random key pre-distribution schemes are of high interest. Although in most of these schemes no location information is considered, there are scenarios that location information can be obtained by nodes after their deployment. In this paper,...
متن کاملDRAFT: Scalability Bugs: When 100-Node Testing is Not Enough
We highlight the problem of scalability bugs, a new class of bugs that appear in “cloud-scale” distributed systems. Scalability bugs are latent bugs that are clusterscale dependent, whose symptoms typically surface in large-scale deployments, but not in small or mediumscale deployments. The standard practice to test large distributed systems is to deploy them on a large number of machines (“rea...
متن کاملOntology SNOMED CT GALEN FMA GO
So called “Semantic Technologies” are rapidly becoming mainstream technologies, with RDF and OWL now being deployed in diverse application domains, and with major technology vendors starting to augment their existing systems accordingly. This is, however, only the first step for Semantic Web research; we need to demonstrate that the Semantic Technologies we are developing can (be made to) exhib...
متن کاملSnowcloud: A Complete Data Gathering System for Snow Hydrology Research
Snowcloud is a data gathering system for snow hydrology field research campaigns conducted in harsh climates and remote areas. The system combines distributed wireless sensor network technology and computational techniques to provide data to researchers at lower cost and higher spatial resolution than ground-based systems using traditional “monolithic” technologies. Supporting the work of a var...
متن کاملLessons Learned in Deploying a Multi-Agent Learning Support System: The I-Help Experience
In this paper we look at the lessons learned from several large-scale real world deployments of the I-Help agent-based peer-help learning support system. These lessons divide into two main categories: software engineering lessons and usage lessons. In the deployments of I-Help to date we have learned a number of important things about the technology needed to support widespread use of a distrib...
متن کامل