Adaptive Management of Volatile Edge Systems at Runtime With Satisfiability

Edge computing offers the possibility of deploying applications at the edge of the network. To take advantage of available devices’ distributed resources, applications often are structured as microservices, often having stringent requirements of low latency and high availability. However, a decentralized edge system that the application may be intended for is characterized by high volatility, due to devices making up the system being unreliable or leaving the network unexpectedly. This makes application deployment and assurance that it will continue to operate under volatility challenging. We propose an adaptive framework capable of deploying and efficiently maintaining a microservice-based application at runtime, by tackling two intertwined problems: (i) finding a microservice placement across device hosts and (ii) deriving invocation paths that serve it. Our objective is to maintain correct functionality by satisfying given requirements in terms of end-to-end latency and availability, in a volatile edge environment. We evaluate our solution quantitatively by considering performance and failure recovery.

Transforming adaptive management in knowledge-intensive enterprises

The article considers the aspects of transforming the adaptive management of knowledge-intensive enterprises under highly volatile institutional conditions in the current technological order. The initial scientific hypothesis was that the quality and efficiency of enterprises in the medium and long term is a consequence of management system transformation, as a result of using a wide range of digital technologies in the process of implementating preventive management measures aimed at maintaining a certain level of correspondence between the digital environment and the internal capacity of the management system.The structural aspects of the concept of adaptive transformation of the management system of knowledge-intensive enterprises in a highly variable digital environment have been analysed. An algorithm that represents a complete independent system has been proposed in which the order and levels of interconnection between individual subsystems and elements have been determined, with the adaptive transformation process itself as the central link, which is supported by a complex of different subsystems. A methodological approach for implementating a multicomponent process of adaptive management system development has been presented, detailing the various methodological recommendations and developments. The methodological techniques used for the indicative assessment of the level of efficiency of the management system of knowledge-intensive enterprises have been outlined.An independent and unified digital management environment for knowledge-intensive enterprises enables real-time analysis of business processes in order to make timely, high-quality and effective decisions in the following key areas: investment and financial activities; enterprise knowledge and personnel management; production and technical management; logistics, operations and disposal. The article offers methodological recommendations on the reengineering of business processes in knowledge-intensive enterprises in a new technological mode.

Sustainable Ecosystem Management

Ecosystems are part of human wellbeing and their sustainable management is essential for the survival of the human race and biodiversity. This chapter explores the concept of sustainable ecosystem management (SEM), its principles, elements, faces, and implementation. SEM is defined as environmentally sensitive, ecosystem-based, and eco-regional based. Its successful implementation is therefore complex due to the different priorities of stakeholders, the scope of ecosystems, some of which are transboundary, and the ever-changing nature of these areas amidst environmental uncertainties. These aspects are vulnerable to political changes and reconciling them is difficult. This chapter proposes a five-step implementation plan on SEM that is pegged on adaptive management and holistic consideration of ecological resources. Using documented case studies, SEM is a proposed solution to ecosystem challenges of modern-day amidst hindrances of rising resource demand, population increase, and climate variability.

Environmental Flows Assessments in the face of uncertainty: supporting the adaptive management of environmental flows

Adaptive management has become the preferred approach for managing environmental flows globally, and successful implementation recognizes multiple dimensions of variability and complexity in socio-ecological systems. This paper outlines an environmental flow assessment methodology that explicitly addresses the uncertainty and change inherent in adaptively managing multiple values for management of environmental flows. While non-stationarity and uncertainty are well recognised in the climate literature, these have not been addressed within the structure of environmental flows methodologies. Here, we present an environmental flow assessment that is structured to explicitly consider future change and uncertainty in climate and socio-ecological values, by examining scenarios using ecological models. The environmental flow assessment methodology further supports adaptive management through the intentional integration of participatory approaches and the inclusion of diverse stakeholders. We present a case study to demonstrate the feasibility of this approach, highlighting how this methodology facilitates adaptive management. Rethinking our approach to environmental flows assessments is an important step in ensuring that environmental flows continue to work effectively as a management tool under climate change.

FluidSMR: Adaptive Management for Hybrid SMR Drives

Hybrid Shingled Magnetic Recording (H-SMR) drives are the most recently developed SMR drives, which allow dynamic conversion of the recording format between Conventional Magnetic Recording (CMR) and SMR on a single disk drive. We identify the unique opportunities of H-SMR drives to manage the tradeoffs between performance and capacity, including the possibility of adjusting the SMR area capacity based on storage usage and the flexibility of dynamic data swapping between the CMR area and SMR area. We design and implement FluidSMR, an adaptive management scheme for hybrid SMR Drives, to fully utilize H-SMR drives under different workloads and capacity usages. FluidSMR has a two-phase allocation scheme to support a growing usage of the H-SMR drive. The scheme can intelligently determine the sizes of the CMR and the SMR space in an H-SMR drive based on the dynamic changing of workloads. Moreover, FluidSMR uses a cache in the CMR region, managed by a proposed loop-back log policy, to reduce the overhead of updates to the SMR region. Evaluations using enterprise traces demonstrate that FluidSMR outperforms baseline schemes in various workloads by decreasing the average I/O latency and effectively reducing/controlling the performance impact of the format conversion between CMR and SMR.

Model of adaptive management of formation of digital competence basics of primary school students

The study is devoted to the issues of modeling the processes of adaptive management of the formation of digital competence of students in the process of obtaining primary education. The key aspects of the theoretical foundations of management of socio-pedagogical systems are revealed. Especially, the principles and approaches to management in general and adaptive in particular are described. It is described, that the essence of management of social and pedagogical systems consists in purposeful influences on the managed subsystem for its ordering. It is determined, that the main task of such management is to ensure the purposefulness, consistency of operation and development of the managed subsystem. The essence of adaptive management is specified, which, taking into account the main characteristics of classical management, is based on the processes of dialogic adaptation of managed and managing subsystems. The characteristics of the key definitions of the research are described, and the structure of the model of adaptive management of the process of formation of digital competence of students in the process of obtaining primary education is presented. The model consists of interconnected structural components, which together give an idea of the process of forming digital competence of students to ensure the success of their lives. The model was built on the basis of system and activity approaches using certain stages of the modeling process. The essence of four blocks of the model is described: target, theoretical, content-technological; and final-reflexive. It is noted, that the pedagogy of partnership is a key component of the formula of the New Ukrainian School and a component of the built model of adaptive management of the formation of digital competence of students in the process of obtaining primary education