Experimental Methodology Clause Samples
Experimental Methodology. The reviewed studies provided information also on the following topics: • Size of the study (vehicles employed and duration), • Vehicle ownership and installation of instrumentation, • Participant characteristics, • Data storage, and • Data analysis. • Drivers use their vehicles daily and a long installation time is not acceptable to them; • The installation cannot require structural modification of the vehicles as also a de-installation must be performed to restore the status quo. In addition, to simplify the installation procedures, the vehicle choice must be limited to a few makes and models. Data storage: all research that addressed this topic, pointed out the necessity to use a fail safe procedure for data storage (and download). A minimum requirement of two copies for the raw data must exist until data processing. Afterwards a single copy of raw data is acceptable in parallel to a database of processed data (e.g. database of events or of behaviours). Reduced data are always stored in an appropriate database structure to facilitate subsequent analysis. The similarities of the 2BESAFE naturalistic riding study and of “The 100-car naturalistic driving study” can be exploited to use the database of the latter study as a starting point both for the definition of the database structure and for the coding of events (e.g. manoeuvres, contributing factors, and behaviours). The review has indicated that elaboration of indexes needs also the availability of data for normal driving conditions, which requires the creation of a baseline database comprised of non-events/behaviours extracted from the same set of raw data.
Experimental Methodology. We use GridSim [7] to simulate a cluster RMS environ- ment that utilizes LibraSLA for resource allocation. Our experiments employ real workload trace from ▇▇▇▇▇▇▇▇▇’▇ Parallel Workload Archive [4]. The selected subset of the last 1000 jobs in the SDSC SP2 trace from April 1998 to April 2000 has the following properties: increase share of job with the highest return by remaining unallocated processor time;
Experimental Methodology. 3.1.1.1. Participants
