SMA-LinR Energy and SLA aware autonomous management of virtual machines

Cloud datacenters consume enormous energy and generate heat, which affects the environment. Hence, there must be proper management of resources in the datacenter for optimum usage of energy. Virtualization enabled computing improves the performance of the datacenters in terms of these parameters. Therefore, Virtual Machines (VMs) management is a required activity in the datacenter, which selects the VMs from the overloaded host for migration, VM migration from the underutilized host, and VM placement in the suitable host. In this paper, a method (SMA-LinR) has been developed using the Simple Moving Average (SMA) integrated with Linear Regression (LinR), which predicts the CPU utilization and determines the overloading of the host. Further, this predicted value is used to place the VMs in the appropriate PM. The main aim of this research is to reduce energy consumption (EC) and service level agreement violations (SLAV). Extensive simulations have been performed on real workload data, and simulation results indicate that SMA-LinR provides better EC and service quality improvements.

Autonomous Corrosion and Scale Management in Electric Submersible Pump Wells

Producers find a considerable amount of their operating expense (OPEX) comes from managing risks associated with corrosion and scale. Monitoring and chemical adjustment workflows are typically manual, and performed at low frequencies, leading to delays in event detection. As a result, the potential for negative events such as production shutdowns and well failures increase. This project's scope integrates chemistry domain experience with edge analytics, machine learning models, and intelligent equipment, to transform manual processes into an autonomous solution. The goal is to optimize operations, reduce well failures and workover costs, and maximize production. This solution is currently deployed in an oilfield, that has been historically challenged with a high number of electric submersible pump (ESP) failures due to corrosion and scale that resulted in significant production losses and unforeseen workover costs. The designed digital architecture supports autonomous management of scale and corrosion through remote monitoring and automated chemical injection. Real-time data is acquired from connected equipment, processed in an edge device running artificial intelligence, and autonomously sent to chemical pumps. Data from sensors, connected devices, and models are visualized in cloud applications, or integrated into existing client systems for end user analysis and full visibility of the entire process. The results show highly accurate models, precise chemical injection, and a reduction of well failures.

Supervisory Layer for Improved Interactivity of Distributed Generation Inverters with Smart Grids

This work proposes an autonomous management system for distributed generation (DG) systems connected to the AC grid, using supervisory control theory (SCT). SCT is used to deal with discrete asynchronous events that modify the properties and operational conditions of these systems. The proposed management layer allows the smart inverters to interact with smart grid managers (SGMs), while guaranteeing operation compliance with the IEEE Standards. The implemented supervisor for the management layer is an automaton that performs the smart inverter manager (SIM) functions in the photovoltaic systems in discrete events. A DSP real-time verification was performed with Typhoon HIL 602+ to demonstrate the smart inverter’s operating dynamics connected to the grid. The results showed the fast response and robust operation of the smart inverter manager to the commands from the smart grid manager.

Legal Regulation of Unmanned Vehicles: Foreign and Russian Experience

The main purpose of this article is to analyze the legal regulation of unmanned vehicles in the world and in Russia. The methodology is founded on various methods and logical techniques of information processing. The principle method is that of analysis: comparative-legal, structural-functional, and formal-legal. The article highlights the growing interest in self-driving vehicles and autonomous control systems in general, as well as the main advantages of using such technologies. It is determined that there is a constant building of capacity within the framework of information systems and technologies, an active search for labor resources, and a constant training of new personnel to expand the segment of autonomous management systems. The article discusses the intention of legislators from a number of states to develop a regulatory framework aimed at ensuring the testing of unmanned vehicles and their access to public roads, as well as the creation of entire networks of unmanned vehicles that can relieve the transport system and improve the economic and environmental well-being of the population. Within the framework of Russian realities, various government initiatives, initiatives of the President of the Russian Federation, and attempts to regulate unmanned vehicles at the legislative level are being considered. The authors have concluded that the issue of unmanned vehicle use, as well as the legal regulation of such vehicle use is on the agenda of many states. Russias achievements in the framework of the issue are highlighted separately. The question of the emergence of two models for the development of legal regulation of unmanned vehicles is raised: the Russian model and that (those) of other countries.

Can managerialism promote organisational transformation in private universities?

Used as a method of university reform, new public management (NPM) involves an ideology of managerialism that conflicts with collegiality and causes ‘hybridisation’. In management organisations, when organisational goals are not shared at the individual level, this adjustment mechanism shifts to the organisational level. This study aimed to examine whether there are coordination mechanisms at the organisational level in universities by focussing on those in Japan, particularly private universities that require autonomous management. Multi-level analysis results revealed that although there is hybridisation associated with increased managerial pressure, there are no organisational-level mechanisms to reduce conflict. In conclusion, the authors point out the difficulty of organising private universities based on managerialism and suggests that university reform in Japan may be ‘hollowing out’ in the public sector as well. Further, the study emphasises the importance of undertaking a comparative study of governance arrangements in China’s private universities in the future.