Analogy for Thread Pools
I am working on an application which spawns a new thread per request. Sometimes the number of threads active on the machine at one time is in the high hundreds. It’s suspected that this is causing all sorts of problems. I would like to experiment with using thread pool instead to see if this improves work throughput. But first, I have to convince the powers that be to allow me the time.
How to explain that sample size does not influence project length
We have big enterprise projects they normally involve copying data from a source database to a destination database and then setting up a number of additional applications that sync this data etc.
Web applications have “the todo list.” What analogous program is there for systems programming?
You can find many frameworks with an example todo list for demonstrating a small but full application in the framework. You don’t have to consider large problems like scaling or caching, but you still exercise most of the fundamentals of that framework in a todo list.
is a DoS attack a good analogy of Dining Philosophers?
Let’s say that, instead philosophers, we have TCP/IP connections to a server, and instead forks we have the server’s TCP/IP avaliable ports. In this scenario, we don’t have a lot of connections competing for the ports: we have a few number of malicious connections that will take a lot of time to process, so they will take the awaliable ports and release them after a long time (from some minutes to several hours). In this scenario, actual non-attacking connections will “starve”.
is a DoS attack a good analogy of Dining Philosophers?
Let’s say that, instead philosophers, we have TCP/IP connections to a server, and instead forks we have the server’s TCP/IP avaliable ports. In this scenario, we don’t have a lot of connections competing for the ports: we have a few number of malicious connections that will take a lot of time to process, so they will take the awaliable ports and release them after a long time (from some minutes to several hours). In this scenario, actual non-attacking connections will “starve”.
is a DoS attack a good analogy of Dining Philosophers?
Let’s say that, instead philosophers, we have TCP/IP connections to a server, and instead forks we have the server’s TCP/IP avaliable ports. In this scenario, we don’t have a lot of connections competing for the ports: we have a few number of malicious connections that will take a lot of time to process, so they will take the awaliable ports and release them after a long time (from some minutes to several hours). In this scenario, actual non-attacking connections will “starve”.
is a DoS attack a good analogy of Dining Philosophers?
Let’s say that, instead philosophers, we have TCP/IP connections to a server, and instead forks we have the server’s TCP/IP avaliable ports. In this scenario, we don’t have a lot of connections competing for the ports: we have a few number of malicious connections that will take a lot of time to process, so they will take the awaliable ports and release them after a long time (from some minutes to several hours). In this scenario, actual non-attacking connections will “starve”.