Conceptualization of a new generation of smart energy systems and the transition toward them using anticipatory systems

Emerging energy systems are inherently different from their conventional counter-parts. To address all issues of these systems, comprehensive approaches of transdisciplinary and post-normal sciences are needed. This article tries to re-conceptualize emerging energy systems using Robert Rosen’s theory of anticipatory system and introduces the concept of the anticipatory smart energy system (ASES). Three important features of an ASES are described and socio-technical considerations for realization of these features are discussed. The article also considers realization of such systems under society 5.0 paradigm and spime techno-culture. In ASESs, the identity of users evolves and new identities are created for energy users, based on the production, consumption, storage, and distributed management of energy. An Anticipatory energy system can manage a common pool of prosumaging.

Modular and Distributed Management of Many-Core SoCs

Many-Core Systems-on-Chip increasingly require Dynamic Multi-objective Management (DMOM) of resources. DMOM uses different management components for objectives and resources to implement comprehensive and self-adaptive system resource management. DMOMs are challenging because they require a scalable and well-organized framework to make each component modular, allowing it to be instantiated or redesigned with a limited impact on other components. This work evaluates two state-of-the-art distributed management paradigms and, motivated by their drawbacks, proposes a new one called Management Application (MA) , along with a DMOM framework based on MA. MA is a distributed application, specific for management, where each task implements a management role. This paradigm favors scalability and modularity because the management design assumes different and parallel modules, decoupled from the OS. An experiment with a task mapping case study shows that MA reduces the overhead of management resources (-61.5%), latency (-66%), and communication volume (-96%) compared to state-of-the-art per-application management. Compared to cluster-based management (CBM) implemented directly as part of the OS, MA is similar in resources and communication volume, increasing only the mapping latency (+16%). Results targeting a complete DMOM control loop addressing up to three different objectives show the scalability regarding system size and adaptation frequency compared to CBM, presenting an overall management latency reduction of 17.2% and an overall monitoring messages’ latency reduction of 90.2%.

Distributed Management as a Solution of the “Goal-Tool” Principle of Economic Policy

The study subject is the process of substantiation and implementation of measures of the state economic policy aimed at achieving the established priority goals of economic development from the standpoint of the “goal-tool” principle and its possible expansion. The purpose of the research is to substantiate the doctrine of so-called distributed management, which expands the use of the principle of “goal-tool” in relation to the developed and implemented economic policy, as well as to identify the main advantages, disadvantages, opportunities for its use for the public administration methods development. The content of the named doctrine comes down to identifying the structure of tools that affect the management object with a different and changing force, according to which the introduction of these tools is planned. The methodological basis was formed by the theory of management of large-scale systems, the economic policy of Tinbergen, the method of comparative analysis, and the formalization of the management process. The result boils down to identifying a significant advantage of distributed management for the formation of economic policy, since it allows to identify their correlation with the development factors, including an assessment of the strength of the applied instruments. This expands on the classic “goal-tool” principle of economic policy. Distributed management allows you to give a qualitative assessment of the institutional coordination of economic activities by the government. The use of distributed control will be most appropriate when deploying indicative planning procedures and constituting the content of the project management method, which involves the selection of a set of tools from alternative options. In the future, distributed management makes it possible to identify errors in copying managerial and organizational experience in terms of the applied development institutions, borrowed technologies, and the use of project management. A quantitative assessment of the strength of tools and its sensitivity of various goals, the application of this assessment to specific controllable systems of different levels of complexity constitutes the prospect of this theoretical study.

Sustainable Technology Analysis of Blockchain Using Generalized Additive Modeling

Blockchain is a secure distributed management technology for data. Until now, blockchain technology has been intensively developed in financial fields such as Bitcoin. As the blockchain technology develops, the application fields of blockchain are expected to further expand. We proposed a technology analysis method for sustainability of blockchain technology. We analyzed the patent documents related to blockchain for sustainable technology analysis. To carry out the technology analysis, we preprocessed the patent documents and built a structure data, document-term matrix. In general, most elements of this matrix are zeros, so it is very skewed. Due to the skewness, technology analysis by traditional methods of statistics has analytical difficulty. To overcome this problem, we proposed a technology analysis method based on generalized additive modeling. To show how our proposed method can be applied to practical fields, we collected and analyzed the patent documents of blockchain technology.