The role of source-to-source compilers nowadays increases faster since each high-level language is in a need to gain more recognition in each field of development. One of the fields that became very popular in the last ten years is web development, where the browsers became the “machines” of our everyday life. They are relevant and powerful, and the only drawback they have is that they only understand one language, that is JavaScript. The need of other languages to be included in the client side of the web development, created the steam for source-to-source compiling, sometimes referred as Transpiling, where one high level language as Java, C, C# and many others are translated mostly, but not solely, to JavaScript. A famous tool that is well recognized is Google Web Toolkit (GWT) which translates Java source code to JavaScript source code. The core of this tool is the compiler which is covered in great details in this paper. Main goal and benefit of this paper is to analyze and compare the difference of the process of translation to JavaScript by transpiler to the process of “normal” compiling and to highlight key aspects of this process.

The complexity of interconnected devices requires constant real-time monitoring, as failure of one part can have catastrophic consequences for the entire system. Computer-information monitoring tools enable us to always be one step ahead of potential problems that may occur in a monitored network environment, whether it is a human-caused configuration or simply an element has failed or stopped working. Not only can they report potential problems, but they can also solve the problem itself. For example, if an element needs increased resources at a given time, the tool itself can recognize it and automatically increase the resource needs of that element. By setting up a monitoring system in a virtual environment, the results can be seen and through their analysis will bring an optimal solution when it comes to what agent to use. This paper presents analysis of how network monitoring agent is responding in cases when there is increased use of shared resources. Knowing this can help in choosing what agent should be used in any given environment, and with that more resources will be saved. This leads to better utilization of resources which is an important in mid-size and big setup of computer monitoring systems.

IEEE 802.16 standard supports five different service classes in order to support different needs of the mobile users with different QoS criteria. But, this standard doesn’t specify admission control and scheduling mechanisms and so far many solutions are proposed in the science world. In this paper we propose priority based uplink scheduling scheme for IEEE 802.16 standard that improves the QoS performances of the five WiMAX service classes, especially of the ertPS service class. Simulation experiments and analysis are done choosing the most adequate WiMAX simulator and the ns-2 simulation tool. Traffic load of the ertPS connections is changed from low to high in order to perform detailed performance analysis of the results. Results given in average delay, average jitter and average throughput are evaluated and compared with so far known uplink scheduling mechanism. The results show that our proposed uplink scheduling scheme based on the priority of the service classes improves the QoS performances especially in high loaded scenarios.