VMSLab-G: a virtual laboratory prototype for molecular science on the grid
Future Generation Computer Systems - Special issue: Computational chemistry and molecular dynamics
Hands-on, simulated, and remote laboratories: A comparative literature review
ACM Computing Surveys (CSUR)
The many faces of the integration of instruments and the grid
International Journal of Web and Grid Services
A Kerberos security architecture for web services based instrumentation grids
Future Generation Computer Systems
Real-time performance analysis for publish/subscribe systems
Future Generation Computer Systems
Hands-On Remote Labs: Collaborative Web Laboratories as a Case Study for IT Engineering Classes
IEEE Transactions on Learning Technologies
Sensor grid applications in patient monitoring
Future Generation Computer Systems
Retelab: A geospatial grid web laboratory for the oceanographic research community
Future Generation Computer Systems
A virtual laboratory for medical image analysis
IEEE Transactions on Information Technology in Biomedicine
e-Infrastructure for Remote Instrumentation
Computer Standards & Interfaces
Hi-index | 0.00 |
The usage of laboratory and measurement instrumentation of any kind, from large complex equipment to networks of sensors that collectively appear as a distributed measurement device, has become of relevant importance in all branches of experimental sciences. Owing to the increasing networking capacity and access ubiquity, this bulk of instrumentation is ever more frequently accessed remotely by users who want to perform experiments, collect and process experimental data, analyze and interpret results. With reference to a remote instrumentation architecture deeply rooted in distributed computing paradigms such as grids and clouds, we evaluate the performance of mechanisms for the collection of data generated by instruments, in order to assess the capabilities of remote instrumentation services. In the presence of instruments generating measurements at high rate, which must be delivered to a multiplicity of users, publish/subscribe dispatching (push) mechanisms are shown to outperform pull-based ones.