Optimum Usage Of Resources Research Articles

Priority-Based Resource Allocation Scheme for Resources Usage in Mobile Edge Computing Platform

Mobile edge computing offers cloud-like services at the edge of mobile networks to fulfill the escalating user demands for applications that are latency sensitive and require quick computation. However, this paradigm is confined to restricted resources; hence, an efficient and effective resource allocation strategy is necessary for optimum resource usage. Considering this fact, this article aims to describe a new method named the priority-based resource allocation scheme for efficient use of the available resources in this paradigm. Computing resources are allocated adaptively by considering the time-constraint nature of the incoming requests. The proposed approach shall adapt to meet the resource requirements and incoming requests' priorities to accomplish the task. After determining the received request type, which can be either a priority-based or ordinary request, each will be handled in one of three possibilities. At the edge node, available resources are managed in such a way as to handle the maximum number of incoming requests and the optimum use of scarce resources. Simulation results show that our proposed priority-based resource allocation scheme method outperforms the benchmarked schemes in average response time, average latency, resource usage, task execution time analysis, and energy consumption.

Cleaner Technology and Natural Resource Management: An Environmental Sustainability Perspective from China

In economies, cleaner technology, increased demand for renewable energy, and more efficient use of natural resources contribute to meeting environmental sustainability targets. The Chinese economy is no exception in its attempts to conserve economic and natural resources via collaborative efforts to embrace cleaner technology, green energy sources, and resource conservation management to preserve resources for future generations. This research examines the influence of cleaner technologies, green energy sources, and natural resource management on reducing greenhouse gas emissions using quarterly data for the Chinese economy from 2000Q1 to 2020Q4. The findings demonstrate that increasing demand for green energy reduces greenhouse gas emissions, hence substantiating the premise of ‘green is clean’ energy development. Additionally, optimum resource usage enhances environmental quality, corroborating the ‘resource cleaner blessing’ hypothesis. The positive link between inward foreign direct investment and greenhouse gas emissions substantiates the ‘pollution haven’ concept, according to which inward foreign direct investment uses unsustainable technology in manufacturing processes, hence degrading air quality indicators. Inadequate access to clean cooking technology and increased population density has a detrimental effect on the country’s environmental sustainability agenda, which must be corrected via sustainable regulations. The causality estimates show the feedback relationship between renewable energy demand (and economic growth) and cleaner technology, between economic growth and green energy (and inbound foreign direct investment), and between population density and economic growth (and green energy). The Impulse Response function estimates suggested that economic growth and population density would likely increase GHG emissions. In contrast, cleaner technology, green energy demand, natural resource management, and inbound foreign direct investment would likely decrease greenhouse gas emissions for the next ten-year time period. The sustainability of the environment and natural resources in China is bolstered by developing cleaner technologies, a greater reliance on renewable energy sources, and better management of natural resources.

AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing

Minimization of energy consumption (EC) is a challenging task in cloud computing while fulfilling the service level agreement (SLA) between service providers and user. User requests are processed by Virtual Machines (VMs), which require computing, memory, and other resources from physical machines (PMs). So, an effective mapping mechanism is necessary to accommodate VMs inside PMs with optimum usage of resources. In the current article, a meta-heuristic approach (AntPu) is proposed for dynamically placing VMs to minimize EC and SLA violations in the cloud datacenter. Extensive simulations were performed to analyze the results, which describes that the proposed approach has a notable improvement in energy consumption and service level agreement over other existing approaches.

Reliability aware Resource Scheduling based on Fuzzy Cuckoo Search (FCS) Technique for IaaS Cloud

Resource scheduling assigns the precise and accurate tasks to CPU, network, and storage. The aim behind this is the optimum usage of resources. However, well-organized scheduling is needed for both cloud providers and cloud users. Several resource scheduling algorithms have been discussed in the literature, but there are little emphases to reliability aware resource scheduling. In this research article, an innovative technique is proposed that is known as the Fuzzy Cuckoo Search (FCS) technique based on the fuzzy theory and cuckoo search algorithm to solve real-time optimization problematic issues. The FCS technique is used to address the reliability aware resource scheduling problems in IaaS Cloud. An experiment has been carried out on the CloudSim simulator and results of FCS techniques are compared with the Genetic Algorithm (GA), Honey Bee (HB) and Particle Swarm Optimization (PSO) scheduling algorithms. Finally, computational results demonstrate that the FCS technique is produced 39.21% better optimal solutions than the best solutions obtained by the comparison algorithms in terms of failure rate. It specifies that the FCS technique is more appropriate for reliability aware resource scheduling for IaaS Cloud.

Transformation process risk management to sustainable corporate performance and quality management: developing flowcharts for approved training organization

Purpose Each decision-making involves risk; therefore, risk is a strategic element in management and organization. In terms of risk management, the transformation process in organizations should be aimed at optimizing and improving the most important performance criteria such as cost, quality, flexibility and speed, rather than just as required by legislation. Transformation process has sustainability risks for organizations. ATO transformation process should be well designed. Process also should include clear steps to implement them. Sound and well-designed process will be useful for organizational performance and quality management. The management of the risks of conversion processes is vital for the continuation of operations without interruption. In aviation universities’ approved training organizations (ATOs), each system must be handled and processed separately. Transformation plans should be prepared considering the risks of each system. The purpose of this study is to develop process flowcharts of all systems in sustainable ATO transformation process from risk management perspective. Design/methodology/approach Flowchart method is useful to identify process risks in organizational system transformation. Flowcharts simplify communication and provide effective analysis of the process. Flowchart enables designing plan which is suitable for aimed results. Flowcharts method provides efficient coding and system analysis and program development phase also serves as a guide while debugging errors. In this study, flowcharts including all stages have been developed for transition to an ATO authorization. With these flowcharts, all elements of the process and the risks, threats and opportunities that may be faced can be proactively identified together. Thus, improvements will be possible to achieve the corporate objectives of the transformation and reorganization process and increase the corporate performance with optimum resource usage. Findings Flowcharts may contribute to the reorganization and transformation of processes in all aviation academies. In this sense, it provides infrastructure for future studies. New studies can be carried out for the reorganization of all departments in aviation. It is believed that this research will contribute to the aviation management literature. Flowchart is also called as process flowchart or process flow diagram. Flowchart is effective methodology to manage transformation process risk. Owing to clarify each step in transformation process, risks may be managed with timely decision-making by managers. In this research, five fundamental flowcharts have been developed in ATO system. These include all processes in transformation as preparation of manuals, new authority application, competent authority inspections, corrective and preventive actions, revalidation and fees in transformation process and its parts. Presented flowcharts may be useful to identify and manage process risk in initial phase as consent with proactive management style. Research limitations/implications This research presents designed flowcharts for ATO transformation risk management process. This research may extend at other departments in aviation universities such as air traffic control, maintenance and management. Practical implications As a methodology, flowcharts can be considered as schematic algorithms. The flowchart is a detailed representation of the process to carry out a specific task. In this research, flowcharts have been developed for transformation process stages at ATO authorization. These flowcharts are useful for proactive identification of process elements and their risks – threats and opportunities. Thus, improvements will be possible to achieve the corporate objectives of the transformation and reorganization process and increase the corporate performance with optimum resource usage. Flowcharts may contribute to the reorganization and transformation of processes in all aviation academies. In this sense, it provides infrastructure for future studies. New studies can be carried out for the reorganization of all departments in aviation. It is believed that this research will contribute to the management and strategy literature with engineering. Originality/value ATO transformation process risk management has not been studied much in literature. The operational manuals of ATO's management and strategy planning prepare according to both legal regulations and handbooks of aviation authorities which obliged for ATO. It is anticipated that this original study may be useful for determining the risks of transformation processes of flight training departments of civil aviation universities and for good process design. Flowcharts may contribute to the reorganization and transformation of processes in all aviation academies. In this sense, this study provides infrastructure for future studies. New studies can be carried out for the reorganization of all departments in aviation. It is believed that this research will contribute to the aviation management literature. Flowchart is also called as process flowchart or process flow diagram. Flowchart is effective methodology to manage transformation process risk. Owing to clarify each step in transformation process, risks may be managed with timely decision-making by managers. The aviation universities operate with authorization. This research may contribute to their process management and strategy to complete their transformation and transition via risk management. Developed flowcharts present all necessary steps to become authorized as an ATO. This research may serve as a kind of framework guide for other aviation organizations to be used in their transformation/transition process.

Wireless Network Planning and Optimal Radio Placement Using Egly Empirical Model

Path loss and outages are crucial in networking and need to be put into consideration in wireless network planning. The recommendation of a network layout for a particular area should be given careful thought and analysis. Preparing the design of wireless communication networks require a detailed understanding of radio propagation over the specific environment. In general, there are two basic problems of multipath fading of the radio link and interference from other users in the cellular reuse environment. In this paper, Egly propagation model was used for network planning and management to achieve optimum resource usage and minimize outages by effectively reducing path loss through empirical transmitter and receiver placement. Keywords- Empirical Model, Network Planning, Path Loss, Radio Placement

Wing+ Web-Application Development Framework

Nowadays web development has been expanded greatly, not only for ordinary reasons, but also for enterprise and other important purposes. So it’s obvious that there would be some challenges and problems if you want to develop important applications such as an automation system on the web. Some of the problems that I’ve encountered myself as a software developer group manager are source code safety, high performance rate at runtime, optimum resource usage and the ability to customize some essential parts of application that are not allowed or their source code is not available. In this document a new web programming framework called Wing+ will be introduced to you, that is designed to resolve these issues and so many other problems that are out of the scope of this paper.

Cognitive Radio Dynamic Access Techniques

The ever growing demand for wireless services has placed enormous burden on valuable resources such as spectral bandwidth. This has resulted in a major rethinking in resource allocation policies culminating in an explosion of research activity in the field of Cognitive Radio (CR) towards optimum resource usage. In this tutorial paper the physical layer design and transmission techniques for CR in the context of efficient spectrum utilization are discussed. Spectrum sensing as the key element of CR awareness is described. Orthogonal frequency division multiplexing (OFDM) as a spectrally efficient modulation scheme is discussed and the rationale for its use in the CR system is explained. Spectrum pooling for efficient use of spectrum is studied and the role of adaptive OFDM techniques in this method is highlighted. Wavelet basis function as a replacement of Fourier transform in OFDM is evaluated. MIMO system as an added value to the CR performance is described. Adaptive Waveform and beamforming as alternative techniques in CR are reviewed.