The latest Nexus devices are normally the first to receive the newest Android versions. When a new firmware version is ready for release to general public, its full image is located at developers.google.com/android/nexus/images. Shortly after that, firmware starts to be distributed over the air. According to one of Google developers, Dan Morrill, (goo.gl/L85mSS), the first few OTA updates are sent to 1 % of devices. It happens at random, regardless of the location or point of sale of a phone/tablet. During this time, bugs are identified allowing the updating process to be put on hold if any critical errors are registered with a large number of users.
At first, GPUs could be used for a very narrow range of tasks (try to guess what), but they looked very attractive, and software developers decided to use their power for allocating a part of computing to graphics accelerators. Since GPU cannot be used in the same way as CPU, this required new tools that did not take long to appear. This is how originated CUDA, OpenCL and DirectCompute. The new wave was named ‘GPGPU’ (General-purpose graphics processing units) to designate the technique of using GPU for general purpose computing. As a result, people began to use a number of completely different microprocessors to solve some very common tasks. This gave rise to the term “heterogeneous parallelism”, which is actually the topic of our today’s discussion.
Open source tools for protection against DDoS (IPS), such as, Snort, are based on DPI, that is, they analyze the entire protocol stack. However, they cannot control the opening and closing of TCP connections, since they are too high in the network stack of Linux and represent neither server nor client side. This allows to bypass IPS data. Proxy servers are also involved in establishing the connection, but they cannot protect against major DDoS attacks, because they are relatively slow, as they work based on the same principle as the server. For them, it is desirable to use the equipment which, despite being not as good as the one for the back end, can withstand heavy loads.
According to Kaspersky Lab, the number of malicious programs targeting Apple products is nearing 1800. In the first eight months of 2014 alone, researchers have found some 25 new families of malware for OS X.
Before turning to unconventional methods of usage, I will describe how “keep-alive” is working. The process is utterly simple – in a connection, multiple requests are sent instead of just one, and multiple responses come from the server. The benefits are obvious: there is less time spent on establishing connection, less load on CPU and memory. The number of requests in a single connection is usually limited by settings of the server (in most cases, there are at least several dozen). The procedure for establishing a connection is universal.
Philip Kucheryavy, Software Engineer in the Operations Team
- He is 24 and has a beard
- In love with Linux and Python
- Has no diploma of higher education
*nix systems are by default provided with remote management tools, while the method of storing and format of configuration files allows you to rapidly distribute the updated version of settings by simply copying them to the node. This scheme will be good enough for up to a certain number of systems. However, when there are several dozens of servers, they cannot be handled without a special tool. This is when it becomes interesting to have a look at configuration management systems that allow a programmable rather than manual configuration of servers. As a result, the systems can be configured quickly and with fewer errors while the administrator will get the comprehensive report. Also, a CM system knows how to keep track of all changes in the server while supporting the desired configuration.