If you have 10,000 front-end users, having a connection pool of 10,000 would be shear insanity. 1000 still horrible. Even 100 connections, overkill. You want a small pool of a few dozen connections at most, and you want the rest of the application threads blocked on the pool awaiting connections.
imagine three threads (Tn=3), each of which requires four connections to perform some task (Cm=4). The pool size required to ensure that deadlock is never possible is:
pool size = 3 x (4 - 1) + 1 = 10
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Autojar dient dazu, jar-Archive minimaler Größe aus unterschiedlichen Qellen (eigenen Klassen, Verzeichnissen, Archiven) zu erzeugen. Ausgehend von einer oder mehreren Klassen wird der Bytecode rekursiv nach weiteren benutzten Klassen durchsucht; diese werden ggf. aus ihrem Archiv extrahiert und in die Ausgabedatei übernommen. Das resultierende Archiv enthält alle tatsächlich benutzten Klassen, und nur diese. Somit lassen sich z.B. Größe und Ladezeit von Applets klein halten oder Applikationen unabhängig von installierten Bibliotheken machen.
@article{ciancaleoni2007cdn, title={{Combining Diffusion NMR and Conductometric Measurements to Evaluate the Hydrodynamic Volume of Ions and Ion Pairs}}, author={Ciancaleoni, G. and Zuccaccia, C. and Zuccaccia, D. and Macchioni, A.}, journal={Organometallics}, volume={26}, number={15}, pages={3624--3626}, year={2007} }
Earth allows you to find files across a large network of machines and track disk usage in real time. It consists of a daemon that indexes filesystems in real time and reports all the changes back to a central database. This can then be queried through a simple, yet powerful, web interface. Think of it like Spotlight or Beagle but operating system independent with a central database for multiple machines with a web application that allows novel ways of exploring your data.