Quoting: Hydra Quoting: Waterbug
... Quoting: Hydra
You heavily underestimate the capabilities of amateur astronomers.
I merely question the sources of their data for calculation.
Do you know where they get this data..?
A wide range of data (regarding our solar system) JPL/NASA gets from amateur astronomers.
E.g. most follow up observations of new discovered asteroids and comets are made by amateurs.
Deep Sky Objeks is something different.
So... these amateurs are not overwhelmed with data... but the pros are..?
[link to queue.acm.org
The Tsunami has Already Made LandfallThe data tsunami is already affecting the performance of astronomy archives and data centers.
One example is the NASA/IPAC (Infrared Processing and Analysis Center) IRSA (Infrared Science Archive), which archives and serves data sets from NASA's infrared missions. It is going through a period of exceptional growth in its science holdings, as shown in figure 1, because it is assuming responsibility for the curation of data sets released by the Spitzer Space Telescope and WISE (Wide-field Infrared Survey Explorer) mission.The volume of these two data sets alone exceeds the total volume of the 35-plus missions and projects already archived.
The availability of the data, together with rapid growth in program-based queries, has driven up usage of the archive, as shown by the annual growth in downloaded data volume and queries in figure 2. Usage is expected to accelerate as new data sets are released through the archive, yet the response times to queries have already suffered, primarily because of a growth in requests for large volumes of data.
The degradation in performance cannot be corrected simply by adding infrastructure as usage increases, as is common in commercial enterprises, because astronomy archives generally operate on limited budgets that are fixed for several years. Without intervention, the current data-access and computing model used in astronomy, in which data downloaded from archives is analyzed on local machines, will break down rapidly. The very scale of data sets such as those just described will transform the design and operation of archives as places that not only make data accessible to users, but also support in situ processing of these data with the end users' software: network bandwidth limitations prevent transfer of data on this scale, and users' desktops in any case generally lack the power to process PB-scale data.