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Modern Internet
Published in Vikas Kumar Jha, Bishwajeet Pandey, Ciro Rodriguez Rodriguez, Network Evolution and Applications, 2023
Vikas Kumar Jha, Bishwajeet Pandey, Ciro Rodriguez Rodriguez
Scalability is one such feature that was adapted since the beginning of the evolution of Internet. Scalability defines that particular capability of a system, network, or process with that it can handle the growing amount of work, or its potential can be increased up to the required level in order to accommodate that growth. Scalability refers that the designs should be supportive to readily available with as many nodes per site and with numerous sites as per the increasing demand of the network. This principle is therefore important for the Internet because an Internet is the global giant network (network of networks) and its architecture should scale invariantly to fulfill the global design requirement. Modern Internet has to support increasing number of devices with Internet access (computers, mobile devices, etc.), communication nodes, autonomous systems, and applications and their number is expected to increase significantly in future. With the growing demand of the support for Internet of Things, the requirement of direct interconnections of sensor networks with the Internet is increasing exponentially and pushing for more number of Internet nodes. Therefore, scalability is one such the principles of design architecture of modern Internet that govern its usability.
Novel Trends and Advances in Health Care Using IoT: A Revolution
Published in Ricardo Armentano, Robin Singh Bhadoria, Parag Chatterjee, Ganesh Chandra Deka, The Internet of Things, 2017
In spite of the fast growth of IoT in the health care sector, there are only 6% people are aware or taking benefit out of it (Madhuri & Sowjanya, 2016). There are few challenges need to be addressed for its universal application. One of such obstacles is scalability. In simple terms, scalability is the ability of a system to maintain or increase its efficiency with increased workload. The increased workload can be in the form of a large volume of data storage, its processing and analysis. With the enhancement of technology-based facility in medical and health care sector, a large volume of data are collected. The raw data generated demands big data analytics and cloud storage for meaningful interpretation of data (Sermakani, 2014). To meet the dynamically growing requirements/demands of people, society, and health organizations, IoT networks need to be scalable and adaptable. (Islam et al., 2015). Scalability in IoT can be attained by bearing in mind few important recommendations. Whenever deploying an IoT system, long-term support for devices based on technology should be incorporated. The potential longevity of the network technology should be considered and must be compared with expected lifespans of devices. The system must be created in such a way that its expansion is possible in an easy way, thinking of future prospects. The next considerate parameter is device durability. Ensure quality of device to cut down the operational cost for the device along with the network for long-term operation (John Horn, 2016).
Treatment of Dependent Information in Multisensor Kalman Filtering and Data Fusion
Published in Hassen Fourati, Krzysztof Iniewski, Multisensor Data Fusion, 2016
Benjamin Noack, Joris Sijs, Marc Reinhardt, Uwe D. Hanebeck
In line with the rapid advances made in sensor and network technologies, there is a rising demand for distributed implementations of Kalman filter algorithms. The intended benefits include scalability, mobility, and robustness to failures. Sometimes, it is simply the need to use networked systems, for example, to monitor a large-scale phenomenon, that calls for distributed state estimation algorithms. From a visionary perspective, a network of sensor systems is capable of managing vast amounts of data, automatically responding to unpredictable changes of network conditions and environment, and reorganizing itself. In general, the design of state estimation algorithms cannot reflect these expectations without endangering reliability and compromising quality of estimates.
Barriers to blockchain-based decentralised energy trading: a systematic review
Published in International Journal of Sustainable Energy, 2023
Samuel Karumba, Subbu Sethuvenkatraman, Volkan Dedeoglu, Raja Jurdak, Salil S. Kanhere
This paper evaluates the technical, administrative, standardisation, and economic barriers hindering the application of blockchain in DET. Commencing with an examination of the definitions and concepts of electricity markets, we encapsulate the pivotal components, participants, and technologies of DET markets. After that, we presented a comprehensive market analysis framework for conducting a systematic literature review on blockchain-based DET. The reviewed literature showed that, although Blockchain provides its salient features of decentralised trust, immutable provenance, visibility, and transparency in DET, its data management, standardisation, and incentivisation mechanisms still require improvement for mainstream adoption. Simultaneously, there is a need to increase scalability while reducing computation and communication costs without security and privacy trade-offs. Our review, therefore, gives the DET market stakeholders a generic characterisation to examine the relationships of the different market components, namely market segment, value proposition, value chain and market mechanisms. In summary, the relevance of this study is to guide organisations, managers, policymakers, and other stakeholders toward the mainstream adoption of blockchain in the DET ecosystem. With insights from our research, the stakeholders can prioritise their efforts in resolving particular difficulties hindering Blockchain's integration in DET.
Reconfiguration ramp-up cost analysis for a reconfigurable guillotine shear and bending press machine
Published in Cogent Engineering, 2022
Vennan Sibanda, Khumbulani Mpofu, Ilesanmi Daniyan, Felix Ale
The principles of RMS play a crucial role in the ramp-up process of the production machine and system. Scalability, is one of the principles which enables integration of the system components by preserving a special space for the addition of more units or machine modules to rapidly increase capacity and thus reduce ramp-up time (Gu & Koren, 2018). According to Chen et al. (Chen, Zhang, Luo et al., 2009), cost-effectiveness is one of the major characteristics of RMS. Ramp-up process time considers the period when a manufacturing system or machine has been reconfigured in response to changing targeted manufacturing demands (Malik et al., 2020). It has been argued that the management of the production system ramp-up phenomenon can be classified into three categories (Matta et al., 2007). the analysis and identification of the significant factors affecting the duration of the ramp-up phase and its related costs.methods and tools for reducing the duration of the ramp-up phase, and improving the quality of production output.tools for aiding the system designer in assessing the system ramp-up during the system configuration/reconfiguration.
Sliding mode controlled DC microgrid system with enhanced response
Published in Journal of Control and Decision, 2022
B. Balaji, S. Ganesan, P. Pugazhendiran, S. Subramanian
A DC microgrid needs a coordination control to reliably power the loads. Microgrid control architectures may be classed as centralised or decentralised. In centralised design, a microgrid provides system information to a single central controller, who analyses it, arranges tasks, and instructs the PE converters (Rashad et al., 2018). A single central controller failure reduces system performance and dependability. In contrast, decentralised power electronic converters use local droop controllers depending on the physical measurements. Low cost and easy scalability are major benefits. Droop controllers cause huge voltage variations in DC buses to achieve a broad stability margin. Controlling DC grids requires modified droop control. Anand et al. (2012) propose a distributed operating system that uses low-bandwidth transmission. However, distributed control techniques suffer from slow convergence owing to communication delays. These control systems also use linearised control approaches that have restricted operations and cannot achieve global equilibrium stability (Meng et al., 2017). Thus, the DC microgrid system cannot be stable A nonlinear sliding mode control (SMC) using a hysteresis band is proposed. An average non-zero value created by a hysteresis band produces voltage inaccuracy. A hysteresis controller also has switching frequency variation (Spiazzi & Mattavelli, 2001).