Complex Infrastructure Research Articles

Placement of IoT Microservices in Fog Computing Systems: A Comparison of Heuristics

In the last few years, fog computing has been recognized as a promising approach to support modern IoT applications based on microservices. The main characteristic of this application involve the presence of geographically distributed sensors or mobile end users acting as sources of data. Relying on a cloud computing approach may not represent the most suitable solution in these scenario due to the non-negligible latency between data sources and distant cloud data centers, which may represent an issue in cases involving real-time and latency-sensitive IoT applications. Placing certain tasks, such as preprocessing or data aggregation, in a layer of fog nodes close to sensors or end users may help to decrease the response time of IoT applications as well as the traffic towards the cloud data centers. However, the fog scenario is characterized by a much more complex and heterogeneous infrastructure compared to a cloud data center, where the computing nodes and the inter-node connecting are more homogeneous. As a consequence, the the problem of efficiently placing microservices over distributed fog nodes requires novel and efficient solutions. In this paper, we address this issue by proposing and comparing different heuristics for placing the application microservices over the nodes of a fog infrastructure. We test the performance of the proposed heuristics and their ability to minimize application response times and satisfy the Service Level Agreement across a wide set of operating conditions in order to understand which approach is performs the best depending on the IoT application scenario.

Collaborative networks between contractors and subcontractors for infrastructure development: a comparative study of national quality award projects in China

PurposeAs the foundation of social and economic development, infrastructure development projects are characterized by large initial investment, high technical requirements and thus generally delivered through complex contractor–subcontractor collaboration chains. This study aims to characterize the complexity of collaborative networks between contractors and subcontractors for infrastructure development through comparing the structural characteristics and the formation mechanisms of contractor–subcontractor collaborative networks for the following two different types of infrastructure: public works (PWCN) owned and operated by government agencies, and public utilities (PUCN) owned and operated by nongovernment agencies.Design/methodology/approachBased on the method of stochastic actor-oriented models and the longitudinal dataset of National Quality Award Projects in China during 2001–2020, this study compares how the structural characteristics of project-based collaborative networks between contractors and subcontractors for the two types of projects are different and how related micro-mechanisms, including both structure-based endogenous network effects and attribute-based exogenous homophily effects (institutional, organizational and geographical homophily), collectively underpin the formation of the networks.FindingsThe empirical results provide evidence that while the two networks are both characterized by relatively low levels of network density, PWCN is more globally connected around a minority of superconnected contractors as compared with PUCN. The results further reveal that compared with PUCN, the formation of PWCN is more significantly related to the structure-based anti in-isolates effect, suggesting that PWCN is more open for new entrant subcontractors. With regard to the attribute-based homophily effects, the results provide evidence that while both significantly and positively related to the effects of organizational (same company group) and geographical homophily (same location), the formation of PWCN and PUCN is oppositely driven by the institutional homophily effect (same ownership type).Originality/valueAs an exploratory effort of using network perspective to investigate the formation mechanisms of contractor–subcontractor relationships in the infrastructure development domain, this study contributes to a network and self-organizing system view of how contractors select subcontractors in different types of infrastructure projects. The study also provides insights into how contractor–subcontractor collaborative relationships can be better manipulated to promote the development of complex infrastructure in different contexts.

Data-Driven Approach in Knowledge-Based Smart City Management

The concept of smart city management is based on the implementation and use of advanced technologies, such as wireless sensors, intelligent vehicles, mobile networks, and data storage technologies. It involves integrating various information and communication technology solutions to efficiently manage a city's resources. Cities are investing in data-driven smart technologies to enhance performance and efficiency, thereby generating a large amount of data. Finding innovative ways to use this data helps improve city management and urban development. A data-driven city utilizes datafication to optimize its operations, functions, services, strategies, and policies. Datafication involves transforming various aspects of urban life into computerized data and extracting value from this information. This transformation is dependent on controlling the storage, management, processing, and analysis of the data, as well as utilizing the extracted knowledge to develop useful smart city solutions. Access to real-time data and information enables the provision of effective services that improve productivity, leading to environmental, social, and economic benefits. Both current and future smart cities have the potential to generate vast amounts of real-time data due to complex physical infrastructure and data-driven applications supported by social networks. This paper investigates how the emerging data-driven smart city is practiced and justified in terms of its innovative applied solutions. The aim of the paper is to explore the general conditions for implementing advanced data-driven technologies for smart city management, using knowledge from literature analysis and case studies. To understand this new urban phenomenon, a descriptive case study is used as a qualitative research methodology to examine and compare the possibilities of implementing data-driven approaches in knowledge-based smart city management. Seventeen case studies that use data-driven applications in real-world settings were identified from secondary sources and evaluated based on smart city indicators and related data-driven applications. Smart Cities were selected based on their rankings in the Digital Cities Index 2022, the Smart City Index 2022, and the IESE Cities in Motion Index 2022.

Decision-Making Model for Evaluating Joint Venture Contractors in Construction of Complex Infrastructure Megaprojects

Due to the complexity of infrastructure megaprojects, using joint venture contractors (JVCs) is an effective method to deliver projects. However, this process is constrained by several factors, including the quality of competing JVCs and knowledge level of decision-makers (DMs). However, existing decision-making methods for megaprojects and JVC selection lack comprehensive JVC evaluation criteria and cannot handle decision-making scenarios using incomplete data. To address these issues, in this study, we propose a novel model based on a hesitant fuzzy soft set and a linear programming techniques for multidimensional analysis of preferences called LINMAP, which can process incomplete decision data and improve decision accuracy. Moreover, a set of criteria was constructed from four dimensions (economy, society, environment, and cooperation), which upholds the sustainable development and internal cooperation of the built environment. Finally, by applying the approach to a complex infrastructure megaproject and conducting a sensitivity analysis, the feasibility and effectiveness of the proposed model were verified. Research shows that DMs in different specialized areas choose different criterion subsets, which leads to different decision-making results. For one, allowing DMs to choose a subset of the criteria can improve the accuracy of a decision and reduce the accompanying risks; further, a large gap exists between partial and global evaluations, so partial and global consistence must be included in the context of multicriteria decision-making; finally, cooperation is the premise of competition, i.e., good cooperation has a positive effect on competition, so the sustainable development of a JVC needs to consider not only economic, environmental, and social factors but also cooperation. This study contributes to the knowledge domain of multicriteria decision-making, extends the knowledge domain in terms of clarifying complicated evaluation scenarios in infrastructure megaprojects, and renders practical managerial implications for future complex evaluation processes in infrastructure megaprojects.

Application of an evaluation tool for mega-hospital site sustainability. Assessment of public private partnership large sized healthcare infrastructures in European context.

Healthcare facilities are large and complex infrastructures designed to respond to a growing need of sanitary services in specialized environments to serve an increasing population number while containing costs. New financial and design models emerged for large sized Hospital -Facilities (Mega-hospitals) but their site sustainability is questioned. The paper focuses on a comparison -between European region case studies of Public Private Partnership (PPP) Mega-Hospitals. A total of 21 large sized hospitals in operation after 2010 have been compared with the application of the Assessment Tool for -Hospital Site Sustainability (ATHOSS). A specific focus on Turkish Hospitals has been also provided as the PPP model is widely adopted in this country. This analysis shows that Turkish cases gets general lower scores than European ones in terms of Construction Density and Community Connectivity (28%;50%), Alternative Transportation (18%; 50%), Site Development (26%; 38%). Connection to Natural World (30%; 52%) and Heat Island Effect (33%; 43%). Only in Development Density criteria (30%; 16%) the score was higher. It also emerged that gross floor area per bed ratio is much larger for Turkish cases (334m2/bed; 198 m2/bed) which can be interpreted as one of the weaknesses related to oversizing such infrastructures. The tool application highlighted some point of attention to be considered when designing and planning Mega-hospital facilities and improvement strategies for site sustainability are -suggested.

Driving Risk Field and Control Strategies for Autonomous Vehicles at a Signalized Intersection

Driving pattern has been increasingly researched to improve driving safety and develop autonomous vehicles. Oriented towards the complex infrastructures at signalized intersections, this research digs into the risk sources brought by different kinds of road elements, including road lane markings, road curbs, median separators, signal timing, and neighboring vehicles around the ego car. Referring to vehicle speed both in the longitudinal and latitudinal dimensions, risk scope and distribution are quantified with the vehicle position of a torus with a Gaussian cross-section. Then, the risk is summed over all the road elements across all the points involved by the ego car, the level of which should be controlled within the threshold value when the ego vehicle explores to minimize trip delay. Thus, autonomous driving strategies are developed with respect to vehicle speed and steering angle. The proposed model is validated with NGSIM data, where a signalized intersection on Peachtree Street is selected and vehicles moving in different directions are analyzed. It is found that the proposed model manages to control vehicles with risk at the accepted level and to enhance the speed level as well as reduce acceleration fluctuations. This research contributes to improving autonomous driving against complex driving conditions for driving safety and efficiency.

Aplikasi Handling Problem Unit IT Infrastruktur Divisi Teknologi Dan Sistem Informasi Pada Bpd Sumsel Babel Berbasis Website

The Regional Development Bank (BPD) of South Sumatra and Bangka Belitung (Sumsel Babel) is a financial institution with a complex and important IT infrastructure system in its operations. The purpose of this research is to develop an application that can help in handling these problems. The method used in this research is the waterfall method which consists of requirements analysis, design, implementation, testing, and maintenance. The proposed solution design is a website-based problem handling application. This application will provide access to the IT Infrastructure Team to submit problem reports and monitor repair status in real-time. Additionally, this application will also be equipped with user management features, access rights management, and notification systems that will inform users of repair status. It is hoped that with this application, the efficiency and effectiveness of IT infrastructure problem handling can be better, thus speeding up response time in problem solving and increasing customer satisfaction. In conclusion, the use of website-based problem handling applications at the Regional Development Bank (BPD) of South Sumatra and Bangka Belitung (Sumsel Babel) can help improve the performance of the IT infrastructure unit of the Technology and Information Systems Division, thereby expected to better meet user needs.

Climate change-related mass migration requires health system resilience

Mass migration driven by climate change-related shocks and stresses is already occurring. We argue for a need for resilient health systems to ensure migration is adaptive, not detrimental, to health. We make this argument for two reasons. First, without resilience, large and sudden population increases such as from migration may strain health systems. Second, while health system resilience-building efforts are occurring, these tend to focus on crises that are substantially different from climate change-related mass migration—most notably because migrants are not threats but instead people with resources and capacity as well as needs. Then, articulating a health system as a large and complex sociotechnical infrastructure, we outline three salient features of health systems resilient to climate change-related mass migration: rapid ability to shift and adapt, multi-stakeholder collaboration, and transformation. We conclude by suggesting the resources, which policymakers need for achieving health system resilience from this sociotechnical perspective.

Blockchain Technology for Embracing Healthcare 4.0

Nowadays, health data are fragmented and scattered across various systems and technologies. Complex support infrastructures, data system silos, and administrative bureaucracy have led to inefficiencies and inefficacies. This article aims to propose a blockchain platform to share big health data in real time between the authorized actors while ensuring a high level of health information protection. The proposed platform can offer a highly innovative approach to administering benefits and keeping all parties in sync. Implementing a blockchain for managing health data is a valuable support for diagnosing and monitoring the progress of the therapies of individual patients under treatment. In addition, it helps to reduce the time required for the exchange of information and keep the healthcare operations under control. Healthcare organizations and ecosystems will benefit from having a complete picture of a patient's health condition and reaching a global audience through the blockchain platform.

Optimizing collaborative decision-making of multi-agent resources for large-scale projects: from a matching perspective

PurposeIn recent decades, infrastructure has continued to develop as an important basis for social development and people's lives. Resource management of these large-scale projects has been immensely concerned because dozens of construction enterprises (CEs) often work together. In this situation, resource collaboration among enterprises has become a key measure to ensure project implementation. Thus, this study aims to propose a systematic multi-agent resource collaborative decision-making optimization model for large projects from a matching perspective.Design/methodology/approachThe main contribution of this work was an advancement of the current research by: (1) generalizing the resource matching decision-making problem and quantifying the relationship between CEs. (2) Based on the matching domain, the resource input costs and benefits of each enterprise in the associated group were comprehensively analyzed to build the mathematical model, which also incorporated prospect theory to map more realistic decisions. (3) According to the influencing factors of resource decision-making, such as cost, benefit and attitude of decision-makers, determined the optimal resource input in different situations.FindingsNumerical experiments were used to verify the effectiveness of the multi-agent resource matching decision (MARMD) method in this study. The results indicated that this model could provide guidance for optimal decision-making for each participating enterprise in the resource association group under different situations. And the results showed the psychological preference of decision-makers has an important influence on decision performance.Research limitations/implicationsWhile the MARMD method has been proposed in this research, MARMD still has many limitations. A more detailed matching relationship between different resource types in CEs is still not fully analyzed, and relevant studies about more accurate parameters of decision-makers’ psychological preferences should be conducted in this area in the future.Practical implicationsCompared with traditional projects, large-scale engineering construction has the characteristics of huge resource consumption and more participants. While decision-makers can determine the matching relationship between related enterprises, this is ambiguous and the wider range will vary with more participants or complex environment. The MARMD method provided in this paper is an effective methodological tool with clearer decision-making positioning and stronger actual operability, which could provide references for large-scale project resource management.Social implicationsLarge-scale engineering is complex infrastructure projects that ensure national security, increase economic development, improve people's lives and promote social progress. During the implementation of large-scale projects, CEs realize value-added through resource exchange and integration. Studying the optimal collaborative decision of multi-agent resources from a matching perspective can realize the improvement of resource transformation efficiency and promote the development of large-scale engineering projects.Originality/valueThe current research on engineering resources decision-making lacks a matching relationship, which leads to unclear decision objectives, ambiguous decision processes and poor operability decision methods. To solve these issues, a novel approach was proposed to reveal the decision mechanism of multi-agent resource optimization in large-scale projects. This paper could bring inspiration to the research of large-scale project resource management.

Demonstration of new attacks on three healthcare network protocols in a lab environment

Healthcare delivery organizations such as hospitals are complex infrastructures comprising a broad range of networked devices. They include connected medical devices which can deliver health care, support hospitals’ operations, and can exchange patients’ data over healthcare network protocols. Previous research has pointed out weaknesses in the implementations of some of these protocols, and demonstrated how they could be abused by malicious actors in hospitals. There are still other healthcare network protocols for which we have limited knowledge, and no security analysis can be found in the literature. This can represent an issue, as these technologies may also have vulnerabilities which could, if exploited, impact hospitals’ operations and patients’ data. For this reason, we investigate in this paper three healthcare protocols found in hospital networks: the POCT1-A and LIS02-A standards used by some point-of-care and laboratory devices, and the proprietary protocol Data Export used by some Philips patient monitors. We explain how to build a test lab to perform security research on medical devices, in which we demonstrate four attacks highlighting how the selected protocols can be abused. This research provides greater knowledge of threats relevant to healthcare delivery organizations, and helps to enhance network security monitoring capabilities such as intrusion detection systems. More specifically, signatures can be created to detect attacks on these protocols and datasets can be assembled to assist the development and testing of hospital-specific intrusion detection systems.

Experience in Organizing the Information Infrastructure of the Government of the Altai Region in Response to Security Threats

In this paper, complex information infrastructure of the government of the Altai Region is considered. The authors identify three possible stages of information infrastructure development of the government of the Altai Region, such as requirements definition, design, and implementation.

Analysis of macerated ticks using Boolean logic gating colorimetric isothermal nucleic acid assays for Lyme Borrelia and Ixodes scapularis ticks

Lyme disease, one of the most common tickborne diseases, has been rapidly spreading in parallel with the expansion of the range of its tick vector. Better tick surveillance efforts are needed to accurately estimate disease risk and to guide public health and clinical management. We have developed two multiplex loop-mediated isothermal amplification (LAMP) reactions coupled with oligonucleotide strand displacement (OSD) probes to identify the tick host, Ixodes scapularis, and the Lyme disease pathogen, Borrelia burgdorferi, they carry. In each multiplex LAMP-OSD assay the co-presence of two target sequences is computed at the DNA level by linking the two corresponding amplicons and detecting the co-product on colorimetric lateral flow dipsticks. In tests with synthetic DNA, the co-presence of as few as four copies of input DNA could be detected, without producing spurious signals. Most importantly, though, the LAMP-OSD assay is amenable to being carried out directly with macerated tick samples, without any sample preparation. In such field conditions, assays performed robustly and demonstrated 97–100% sensitivity and 100% specificity with both field-collected and lab-raised artificially infected ticks. Such easy-to-use, arthropod and pathogen-specific assays would be well suited to field and near patient use without relying on complex instrumentation or infrastructure.

Compact flexible actuator based on a shape memory alloy for shaping surgical instruments

Abstract Conventional flexible actuators for minimally invasive interventions come with complex and bulky actuation infrastructure. We present a proof-of-concept study of a compact flexible actuator with variable shape change featuring shape memory alloy wire loops in active-antagonist configurations for a bending and S-shape. The actuator was fabricated using heat-treated wire loops. The evaluation using optical marker tracking revealed a mean maximum absolute displacement at the distal tip of 19 mm and a force of 90 mN reached in under 15 s. For control, a closed-loop regime was evaluated with steady-state errors below 2°.

Exploring Stakeholder Engagement Process as the Success Factor for Infrastructure Projects

Today, the world is experiencing a major cycle of investment in infrastructure, which is essential for the development and prosperity of countries and societies. Management failures in infrastructure projects are widely known, and some of them involve the weak engagement of project stakeholders. The importance of stakeholder involvement as a key factor in the success of infrastructure projects is widely recognized. However, the literature provides few answers to the question of how this process manifests itself in projects. Some scholars have concluded that it is a complex and under-researched management process. The research questions aim to find out how practitioners perceive stakeholder engagement, who conducts activities and processes related to stakeholder engagement and in what ways, what organizational aspects influence the process, and how success is achieved in infrastructure projects. Initially, eight experienced experts involved in a whole range of (complex) infrastructure projects were interviewed, and later, four additional interviews were conducted for verification purposes. During the interviews, all aspects of stakeholder engagement were discussed in detail and a thematic analysis was conducted. Based on the analysis, success and failure factors related to the stakeholder engagement process were defined. As a result, a framework model for stakeholder engagement and infrastructure project success is presented based on three levels of management and three levels of project success.

The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.

Machine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across different institutions and cannot be easily shared owing to strict privacy regulations. Federated learning (FL) allows the training of distributed machine learning models without sharing sensitive data. In addition, the implementation is time-consuming and requires advanced programming skills and complex technical infrastructures. Various tools and frameworks have been developed to simplify the development of FL algorithms and provide the necessary technical infrastructure. Although there are many high-quality frameworks, most focus only on a single application case or method. To our knowledge, there are no generic frameworks, meaning that the existing solutions are restricted to a particular type of algorithm or application field. Furthermore, most of these frameworks provide an application programming interface that needs programming knowledge. There is no collection of ready-to-use FL algorithms that are extendable and allow users (eg, researchers) without programming knowledge to apply FL. A central FL platform for both FL algorithm developers and users does not exist. This study aimed to address this gap and make FL available to everyone by developing FeatureCloud, an all-in-one platform for FL in biomedicine and beyond. The FeatureCloud platform consists of 3 main components: a global frontend, a global backend, and a local controller. Our platform uses a Docker to separate the local acting components of the platform from the sensitive data systems. We evaluated our platform using 4 different algorithms on 5 data sets for both accuracy and runtime. FeatureCloud removes the complexity of distributed systems for developers and end users by providing a comprehensive platform for executing multi-institutional FL analyses and implementing FL algorithms. Through its integrated artificial intelligence store, federated algorithms can easily be published and reused by the community. To secure sensitive raw data, FeatureCloud supports privacy-enhancing technologies to secure the shared local models and assures high standards in data privacy to comply with the strict General Data Protection Regulation. Our evaluation shows that applications developed in FeatureCloud can produce highly similar results compared with centralized approaches and scale well for an increasing number of participating sites. FeatureCloud provides a ready-to-use platform that integrates the development and execution of FL algorithms while reducing the complexity to a minimum and removing the hurdles of federated infrastructure. Thus, we believe that it has the potential to greatly increase the accessibility of privacy-preserving and distributed data analyses in biomedicine and beyond.

Visualised AKIS Diagnosis – an Instrumental Approach to Support AKIS Appraisal

SummaryThe AKIS (Agricultural Knowledge and Innovation System) concept is now widely applied in the EU partly due to latest CAP regulation. Visualisation‐based AKIS diagnosis relies on the iterative elaboration of an AKIS diagram that provides a static picture of what elements of the system are linked through what kind of relations in which socio‐economic contexts and environments. In this article we discuss the implications of using the visualised AKIS diagnosis method based on our empirical assessment of AKIS in 28 European countries. The method involved drafting AKIS diagrams based on targeted desk research, conducting dialogues with experts affiliated with or overseeing prominent knowledge organisations to adjust and refine the diagrams and to analyse actor diversity and linkages. The final diagrams and the background reports on AKIS appraisal were used to deepen the AKIS understanding among various stakeholders in the agriculture sector, as well as an input for the CAP strategic plan preparation in some countries. We conclude that the visualised AKIS diagnosis has a great potential to make complex knowledge infrastructures and exchange processes tangible. However, it also comes with risks, for example, that the snapshot in time may become misleading, through being an outdated or erroneous representation.

Sistem Pendukung Keputusan Pemilihan Virtual Private Server (VPS) Menggunakan Metode MOORA

Virtual Private Server (VPS) is a hosting solution where one physical server is divided into several isolated virtual servers. Each virtual server operates independently with the resources assigned to it. VPS uses virtualization technology that allows multiple virtual servers to run on one physical server. The main advantage of VPS is the ability to have complete control over the server without the need to manage complex physical infrastructure. In addition, VPS also offers a higher level of privacy and security compared to share hosting. However, in choosing a VPS, several problems can arise. Too few resources can hurt website or application performance, while too many resources can result in waste and unnecessary costs. Also, issues such as downtime, poor connection speed, or server constraints can cause disruption to the hosted website or application. To choose a VPS that suits user needs, the MOORA method is used as a decision support system. In this case, 9 VPS providers were selected which would be evaluated based on the criteria of CPU, RAM, Storage, Bandwidth and Cost. After applying the MOORA method, alternative A4 with a Yi value of 1,590 was declared the best alternative, and the Exabytes provider was considered the best VPS service provider.

The use of the computer assisted rehabilitation environment in assessment and rehabilitation

Purpose. The purpose of this review article was to review and analyze the available literature regarding one of the most advanced virtual reality technologies. We reviewed and analyzed the use of the computer-assisted rehabilitation environment system in assessment and rehabilitation.
 Materials and methods. PubMed, Web of Science, Cochrane Library, Scopus, and Physiotherapy Evidence Database databases were searched from inception to October 2021. We used the search term “Computer Assisted Rehabilitation Environment” and included articles which directly or indirectly addressed the use of the computer assisted rehabilitation environment system in assessment, rehabilitation and on healthy people. We excluded articles not published in the English language, conference proceedings, reports of abstracts only, and duplicated articles. Also, articles addressing the use of other virtual reality technologies whether they used fully immersive, semi-immersive, or non-immersive interfaces or virtual reality devices such as the Wii or Xbox gaming technologies were also excluded. The relevant studies were collected and critically analyzed.
 Results. Our search retrieved 205 articles, with 119 duplicates identified and removed. Following screening 86 articles, we included 50 relevant articles which directly or indirectly addressed the computer-assisted rehabilitation environment system and were published in scientific journals. Twenty-two articles used the computer assisted rehabilitation environment for biomechanical analysis, 15 articles used the computer assisted rehabilitation environment for rehabilitation, 4 articles were reviews, and 9 articles addressed the computer assisted rehabilitation environment in other ways.
 Conclusion. The computer assisted rehabilitation environment system is a promising tool for assessment and rehabilitation. It can be used with different concepts to assist in diagnosis and treatment, can be used for healthy individuals and with patients, and basically follows biomechanical principles in operating. The high cost and complex infrastructure, however, may be the restriction to its use for research purposes and in clinical practice.

АНАЛИЗ ВОЗМОЖНОСТЕЙ РАЗВИТИЯ ГЕОТУРИЗМА НА БАЗЕ ГЕОНАСЛЕДИЯ В ЕСТЕСТВЕННОНАУЧНЫХ МУЗЕЯХ

The article analyzes geotourism perspectives based on natural history museums. Significant trends for the integrated development of geotourism and natural history museums are formulated. These trends allow revealing prospective views on the tourist potential of the territory. In order to clarify the geotourism development potential at the place of the Earth’s geochronological key stages, several museums were analyzed in conjunction with the geotoponyms of geological systems in the world. A geoheritage interpretation model, correlating ex situ museums and in situ objects, is developed. It includes territorial aspects and substantive formats of interpretation, depending on the target audience and the format of interaction with geoheritage. Geoheritage evaluation includes three groups of criteria (scientific, educational and geotourism), each being estimated to summarize approaches for the museum representation. The criteria are ranged according to the comparison purpose of in situ and ex situ forms. The variety of geoheritage interpretation forms allows suggesting recommendations for geotourism development. One symbolically significant way is the museumification of in situ and ex situ objects to correlate the museum network and the network of protected areas as a complex tourist infrastructure. For the Perm Region as a historically significant place of the Permian geological system discovery, the priority is to develop a complex plan to integrate the possibilities of geoheritage representation through museum forms and in the natural environment. In view of the objective scientific data, the Perm Region has no GSSP of the Permian system; therefore the role of the “symbolic stratotype” should have the Permian Period Museum as the basic object of the geotourism infrastructure and the starting point of tourist routes. The supportive role in the Permian geoheritage preservation and representation belongs to the network of municipal and university museums.