Proceedings of the Third IFIP Conference on Sustainable Internet and ICT for Sustainability 2013 (SustainIT 2013)
With the proliferation of distributed generation, an electrical load can be satisfied either by a centralized generator or by local/nearby distributed generators. Given a set of resource demands in a collection of geographically co-located microgrids connected to the central grid, each such demand characterized by a power level and a duration. We study algorithms that allocate generation resources to demands by configuring switched paths from sources to loads. We consider the case when each demand can be met by two generators, one of them representing the central grid and thus shared among all demands.
Modern network processors (NPs) increasingly deal with packets that require heterogeneous processing. We consider the problem of managing a bounded size input queue buffer where each packet requires several rounds of processing before it can be transmitted out. The goal of admission control policies is to maximize the total number of successfully transmitted packets. Usually the transmission order of the packets is induced by the processing order. However, processing order can have a significant impact on the performance of buffer management policies even if the order of transmission is fixed. For this reason we decouple processing order from transmission order and restrict our transmission order to First-In-First-Out (FIFO) but allow for different orders of packet processing, introducing the class of such policies as Semi-FIFO. In this work, we build a taxonomy of Semi-FIFO policies and provide worst case guarantees for different processing orders. We consider various special cases and properties of Semi-FIFO policies, e.g., greedy, work-conserving, lazy, and push-out policies, and show how these properties affect performance. Further, we conduct a comprehensive simulation study that validates our results.
The first volume involves the Russian Federation as a common denominator with either Norway (oldest multilateral region in the Arctic) or the United States (sharing with Russia the longest maritime boundary in the world) to interpret changes with connected biophysical and socio-economic systems that underscore decisions across a “continuum of urgencies” from security to sustainability time scales. The second and third volumes will emerge from presentations during the annual Arctic Frontiers Conferences in Tromsø, Norway, starting in January 2020. Volume 2 will consider circumstances associated with areas beyond sovereign jurisdictions from Arctic and non-Arctic perspectives, recognizing the international community has unambiguous rights and responsibilities in the Arctic High Seas under the law of the sea. Volume 3 is intended to synthesize insights on a pan-Arctic scale, analogous to the world ocean across all sea zones, involving decisions to achieve ongoing progress with sustainability, coupling governance mechanisms and built infrastructure. Throughout this book series, which we expect to expand beyond the Arctic, science diplomacy will be applied as an international, interdisciplinary, and inclusive (holistic) process, facilitating informed decisionmaking to balance national interests and common interests for the benefit of all on Earth across generations. With holistic integration, this book series will reveal skills, methods, and theory of informed decisionmaking that will continue to evolve, contributing to balance, resilience, and stability that underlie progress with sustainability across our home planet.
In the past decades Foresight has been significantly developed as a tool for long-term forecasting in the field of power generation and energy efficiency. Such research aims at investigation of the most promising innovation strategies in this area, identifying various (including alternative) ways to achieve technological and market goals with the participation of best qualified experts. Such Foresight method as Roadmapping is widespread in the world practice. It helps to shape complex and interrelated views on prospects of innovation development in specific areas of energy efficiency, it links R&D programmes with creation of technologies and products, as well as their subsequent commercialization. The paper provides an overview of the world Foresight experience aimed at creating vision of the future and building innovation strategies related to energy efficiency. Special attention is paid to the Russian research practice, in particular to different types of Foresight projects implemented by the specialists of State University - Higher School of Economics. The authors describe the results of main projects dedicated to shape the future of energy-efficient technologies and to develop of innovation strategies on their application.
A sustainability perspective is a practical today's goal for collaboration of state, business and society. The special role within this triad belongs to business companies, which integrate the sustainability principles into their strategies to improve organizational processes and long-term growth. Quality management system (QMS) is an important tool to ensure sustainability through business performance. According to the International standard organization survey of QMS, more than 1 million certifications issued in 178 countries by 2010. The position according to which corporate management of sustainability by the help of QMS, which corresponds to international standard ISO 9000 is presented in the paper. The aim of the paper is to examine the factors, which affect organizational decision of the companies in the emerging countries to implement QMS ISO 9000. The impact of internal and external factors which influence managerial decision of QMS implementation is analyzed in the paper. Specifically, the similarities and differences between the motivations of companies from the Commonwealth of Independent States (CIS), new members of the EU countries and countries of the Southern Europe (which aren’t the members of the EU) within the implementation of the QMS ISO 9000, are discussed. The empirical cross-country analysis is based on 2002–2009 data from the Business Environment and Enterprise Performance Survey (BEEPS), conducted by the World Bank and the European Bank for Reconstruction and Development (EBRD). Binary logistic regression was used to analyze the data. The study identifies the role of economic development and institutional environment in the QMS ISO 9000 implementation. There are highlighted three “portraits” of companies, which implemented QMS: (a) from the Commonwealth of Independent States (CIS) countries; (b) from the new EU members countries; (c) from the Southern Europe countries, which aren’t the members of the EU. The results show that QMS ISO 9000 implementation leads to increase of competitive ability and investment attractiveness of the company, to improvement of product quality and stakeholders communications, to human resources development. These business processes improvements, as a QMS implementation result, can potentially activate the company’s sustainable effects and then - national and global sustainability transformations.
Peculiarities of making of managerial decisions in modern business systems, predetermined by observation of the basic principles, are shown: constant monitoring of external environment for determining new possibilities and actual problems and determining the need for managerial decisions; founding on materials of marketing research, conduct of marketing communications for informing and supporting loyalty of interested parties in the process of implementation of decisions; and striving for increasing or at least preserving the uniqueness and effectiveness of business system during decision making (criterion of optimality of decisions).
The article describes the features of an enterprise’s business process management that concerns ad-hoc processes. The analysis of the possible implementation problems in ECM system is shown and ways of overcoming.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.