Analisa Perbandingan Squid 2.7, Squid3, Dan Squid Lusca Sebagai Cache Proxy Server Pada Ubuntu Server

RT/RW Net Joho Baru is one of the internet service provider organizations. As one of the growing internet service provider RT/RW Net Joho Baru has to give the best and the quickest services to the customers. So that it need appropriate technology which is support to the best networks to give good services to the customers. The Important factors are cost and speed factors which related to the material efficiency and time. This research is comparing about proxy server operating systems such as Squid 2.7, Squid3, and Squid Lusca, so that it can easier to find out the appropriate operating systems to build the best network. SDLC Method has several steps. The first step is the analysis of feasibility study which included software and hardware. The second step is the analysis of needs which is planning relate to the system project. Then network planning design is going apply. Next, continuing design system to system testing. Based on these steps, the proxy server is successfully to shorten time management on accessing the website. The results of the efficiency acquisition are Squid 2.7 at 75,1%, Squid3 at 83,5%, and Squid Lusca at 86,9%.

Advancing throughput of HEP analysis work-flows using caching concepts

High throughput and short turnaround cycles are core requirements for efficient processing of data-intense end-user analyses in High Energy Physics (HEP). Together with the tremendously increasing amount of data to be processed, this leads to enormous challenges for HEP storage systems, networks and the data distribution to computing resources for end-user analyses. Bringing data close to the computing resource is a very promising approach to solve throughput limitations and improve the overall performance. However, achieving data locality by placing multiple conventional caches inside a distributed computing infrastructure leads to redundant data placement and inefficient usage of the limited cache volume. The solution is a coordinated placement of critical data on computing resources, which enables matching each process of an analysis work-flow to its most suitable worker node in terms of data locality and, thus, reduces the overall processing time. This coordinated distributed caching concept was realized at KIT by developing the coordination service NaviX that connects an XRootD cache proxy infrastructure with an HTCondor batch system. We give an overview about the coordinated distributed caching concept and experiences collected on prototype system based on NaviX.

PENERAPAN TEKNOLOGI CACHE SERVER BERBASIS IoT DENGAN RASPBERRY Pi3 MENGGUNAKAN METODE FORWARD CHAINNING

With the rapid technological development, the growing number of Internet clients over time, the internet access response is slow and it takes filtering of a few websites that can harm users. For that required cache proxy server to speed up internet access time and website filtering. The use of proxy servers usually still use the standard configuration on the proxy server. This configuration can be set or modified (tuning) in such a way as to create a proxy server that is reliable and have better performance. The play on the proxy server is done by changing some parameters that are inside the proxy server application and adapted to the needs of usage on the internet network. The application used to create this proxy server is squid that runs on raspberry pi3 with a rasbian operating system. Squid applications are mostly used in local and internet networks for storing web cache, blocking multiple websites, managing bandwidth up to access restrictions.

Automation of an IoT hub using artificial intelligence techniques

Fog computing is used for reducing the complexity level of a network architecture and processes the data in a fog node IoT Hub. The Internet of Things (IoT) will connect billions of devices, such as smart objects, which are heterogeneous in terms of hardware software and communication interfaces. The IoT has to this point grown as numerous vertical idea of the IoT, rather than focusing at the real creation of a highly interoperable infrastructure for the development of applications. For managing the various devices present in the hub we create an IP-based infrastructure so that the elements can be able to balance the diversified devices and the network elements are used to enhance the direct end to end communication which is much required. With all the above considerations we propose a Fog node i.e. an IoT hub that can be placed at the end of multiple networks thereby increasing the capability by implementing various functions such as allocation of resources border routers cache proxy servers etc. As the implementation of fog node is through the IoT hub here we would like to automate the resource allocation that takes place in the IoT hub.