Short-Term Course on Network Modeling, Cloud computing and Big data(NMCB-23)

08 Dec 2023   -   12 Dec 2023
Computer Science and Engineering
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This STC focuses on four topics such as TCP modeling and simulation, Vehicular networks, Big data, and Cloud computing. STC starts with Stochastic Modeling. It elaborates about the network modeling where system is described as a stochastic process. Block-chain technology is one of the demoing technology in the current era of evolution. STC includes the session on Block-chain technology and its wide application in the Internet. The ever-increasing demand for Internet applications has increased the demand for fast data transmission over high-speed networks. In recent decades, Transmission Control Protocol (TCP) has been used significantly to fulfill these requirements by carrying most Internet traffic. It provides congestion control mechanisms to improve performance. Many TCP variants have been developed that focus on utilizing the network's total bandwidth. STC will discuss about the various TCP congestion control algorithm and its implementation on network simulator. Next discussion of STC will be on VANET. VANET is an emerging technology to connect vehicles and provide services in a vehicular environment. Numerous applications are made possible by VANETs, including real-time traffic condition monitoring, blind crossing prevention, safety, dynamic route planning, and collision prevention. The detailed discussion on VANET with demonstration of its implementation will be covered in this STC. Further, we will explore the various applications of blockchain technology in this STC.  In the last discussion of STC, we will elaborate on the popular research problems in cloud computing, such as VM placement and Task scheduling. Cloud Data Centres (CDCs) have been developed into a virtual computing platform for businesses. Nevertheless, CDCs require significant power, which is essential for processor speed, particularly for Internet of Things (IoT) activities. Traditional systems mainly seek to minimize the number of physical machines (PMs) and rarely tackle the problems of overload and energy efficiency of the virtual machines (VMs) regulations concurrently. Cloud computing enables users to supply resources on demand and run programs in a way that meets their needs by selecting virtual resources that meet the resource requirements of their application. The duty of accommodating these virtual resources on physical resources falls to cloud resource providers at that point to translate virtual resources into physical resources. However, we consider the provider's optimization goals and resource providers to find some fundamental difficulties in cloud computing. Big data is a subsequent area of cloud computing and IoT. We have many applications where we need to store and analyze the streaming of data. Big data achieves this goal through various techniques. Recent trends and the future of Big Data Analytics will be covered by experts. Anomaly detection in Big Data will also be presented in this STC. Finally, it also includes IoT issues and real-world challenges.