Exact(5)
U.S. Internet companies, and indeed all multinationals with a presence in the United States, appear to be trapped between the data access requirements of U.S. law enforcement agencies and foreign privacy laws.
The study presented in [37] suggests two distinct scenarios with very different data access requirements.
Processes like A and B would consume a large portion of the disk I/O time due to their large data access requirements.
However, application with large data access requirements and skewed workloads like MapReduce would suffer high latency due to their specific and disjoint disk seeks.
Similarly, in their report Improving the Use of Science in Regulatory Policy, the Bipartisan Policy Center (2009) recommended that Studies used in the formulation of regulation should be subject to data access requirements equivalent to those under the Shelby Amendment and its implementing Circular regardless of who funded the study.
Similar(55)
As well as the individual user's preferences about its use, each scenario has different data access concerns, resource requirements (power, connectivity), functional constraints, and other integration needs.
Many Grid applications have significant data access and analysis requirements; virtually every scientific, engineering, medical, and decision-support application depends on accessing distributed heterogeneous collections of structured data.
In the same way as we see models for representing proteomic data evolving in the light of practical experience, we anticipate that the PEDRo repository, and the overall understanding of the data access and dissemination requirements for proteomic data, will evolve as the opportunities presented by high-throughput experimental techniques and comprehensive data sets become more fully understood.
Where real-time data access is a requirement, direct communication with field devices (e.g. PLC) on the lower levels of an automation network must be undertaken.
There is a wide variety of I/O requirements: Some implementations require reading and writing large datasets, others out-of-core data access, or they have database access requirements.
This is an important point regarding data bandwidth and concurrent access requirements.
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