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Zeitschriftenartikel zum Thema „Distributed systemes“

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Veröffentlicht am 25. Mai 2024

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1

Bhagwath, S. G., and Dr Mallikarjun Math. "Distributed Systems and Recent Innovations: Challenges Benefits and Security Issues in Distributed Systems." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (2016): 37–42. http://dx.doi.org/10.9756/bijsesc.8239.

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2

Gottinger, Hans W. "Internet Economics of Distributed Systems." Archives of Business Research 3, no. 1 (2015): 36–52. http://dx.doi.org/10.14738/abr.31.715.

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3

MILEWSKI, Jaroslaw, and Krzysztof BADYDA. "E108 TRI-GENERATION SYSTEMS BASED ON HIGHTEMPERATURE FUEL CELLS(Distributed Energy System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–275_—_1–279_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-275_.

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4

ME, E. Sankaran. "Distributed Control Systems in Food Processing." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (2018): 27–30. http://dx.doi.org/10.31142/ijtsrd18921.

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5

Samoylenko, H. T., and A. V. Selivanova. "Distributed information systems in e-commerce." Mathematical machines and systems 2 (2023): 69–74. http://dx.doi.org/10.34121/1028-9763-2023-2-69-74.

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The article discusses the basic requirements for electronic commerce information systems that support business. The features of the modular design of electronic trade information systems are characterized and the advantages and disadvantages of independently developed information-but-computational resources are determined. The expediency of using distributed information systems for electronic trade tasks is justified. The concept of distributed information systems involves the use of various technologies and protocols to ensure the availability, reliability, and scalability of the system. The architecture of a distributed information system involves the creation of a system with distributed components that interact using standard interfaces and use various technologies for communications. The prospects for the use of distributed information systems are determined and the advantages of using a distributed architecture are analyzed. The article studies the stages of building the architecture of a distributed information system and defines its main components. The architecture of distributed systems can consist of such components as database servers, web servers, applications, security tools, and network equipment, and may vary depending on the specific system and its needs. The types of architectures of distributed information systems and the specifics and features of their application are determined. The article discusses microservices-oriented architecture (Microservices-Oriented Architecture, MOSA), the basic idea of which is that software is divided into small, autonomous microservices that interact with each other using APIs. The use of MOSA for electronic trade information systems allows for increasing the speed of development and implementation of additional functions and ensures scalability and resistance to failures.

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Banks, H. T., and K. L. Rehm. "PARAMETER ESTIMATION IN DISTRIBUTED SYSTEMS: OPTIMAL DESIGN." Eurasian Journal of Mathematical and Computer Applications 2, no. 1 (2014): 70–80. http://dx.doi.org/10.32523/2306-3172-2014-2-1-70-80.

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7

Korablin, Y. P., and A. A. Shipov. "Questions of verification in distributed software systems." Contemporary problems of social work 1, no. 2 (2015): 102–6. http://dx.doi.org/10.17922/2412-5466-2015-1-2-102-106.

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8

Sapaty, P. S. "Spatial grasp model for dynamic distributed systems." Mathematical machines and systems 3 (2021): 3–21. http://dx.doi.org/10.34121/1028-9763-2021-3-21.

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More complex distributed and intelligent systems which relate to economy, ecology, communi-cations, security and defense, and cover both terrestrial and celestial environments are being developed. Their efficient management, especially in dynamic and unpredictable situations, needs serious investigations and development in scientific and technological areas. Their tradi-tional representations as parts operating by certain algorithms and exchanging messages are be-coming inadequate as such systems need much stronger integration to operate as holistic organ-isms pursuing global and often varying goals. This paper is focused on a completely different paradigm for organization and management of large dynamic and distributed systems. This par-adigm extends and transforms the notion of an algorithm for the description of knowledge pro-cessing logic. Moreover, it allows it to exist, propagate and operate as an integral whole in any distributed spaces which may constantly change their volumes and structures. Taking into con-sideration some organizational features related to dangerous viruses, as well as recent pandem-ics, this ubiquitous Spatial Grasp (SG) model is presented in the paper at philosophical and im-plementation levels, together with the introduction of special spatial charts for its exhibition and studies, which extend traditional algorithmic flowcharts towards working directly in dis-tributed spaces. Utilization of this model for the creation of resultant Spatial Grasp Technology and its basic Spatial Grasp Language, already described in details in numerous publications, is briefed as well. Elementary examples of dealing with distributed networks, collective human-robotic behavior, removal of space debris by a constellation of cleaning satellites and simulat-ing the spread of virus and vaccination against it explain SG advantages over traditional system organizations.

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Sapaty, P. S. "Managing distributed systems with spatial grasp patterns." Mathematical machines and systems 4 (2023): 11–25. http://dx.doi.org/10.34121/1028-9763-2023-4-11-25.

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The pattern is everything around us. It can represent the world’s regularity, a human-made design, a model, plan, diagram, a standard way of modeling, acting and thinking, a distinctive style or form, a combination of qualities and tendencies, etc. That is why the theory, research, and practical works on patterns are so important for different scientific and technological fields, having also stimulated the preparation and writing of the current paper. The paper reviews existing works on patterns, grouping them by different categories, and briefs the developed Spatial Grasp Model and Technology (SGT) and its Spatial Grasp Language (SGL) with the distributed networked implementation, which provide effective distributed solutions in systems management, control, and simulation by active self-spreading patterns. The article shows how practical patterns can be expressed in SGL, including regular patterns, patterns of concrete objects, and different pattern-based management solutions like coordinating transport columns, finding distributed zone coordinates, and spatial tracking of mobile objects. It also gives network examples of distributed pattern recognition and matching with the use of self-propagating active network templates reflecting images to be found. The paper provides a classified summary of the investigated use of SGL for pattern operations in different areas, which includes descriptive patterns, creative patterns, patterns as spatial processes, pattern recognition, self-matching patterns, combined patterns, cooperating and conflicting patterns, psychological patterns, and recursive patterns. The work concludes with the belief that SGL can be used as a real, very effective, and compact language for pattern representation and operations, and SGT should contribute to the pattern theory and resultant technologies.

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Moreno Navarro, I., E. Martín Candelario, and M. Álvarez Alonso. "Métodos de control en sistemas domóticos: últimas tendencias en sistemas distribuidos." Informes de la Construcción 50, no. 459 (1999): 43–53. http://dx.doi.org/10.3989/ic.1999.v50.i459.830.

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11

Khaleel, Ashik. "A Review on Distributed Management Systems Using Blockchain." International Journal of Psychosocial Rehabilitation 24, no. 1 (2020): 1599–604. http://dx.doi.org/10.37200/ijpr/v24i1/pr200259.

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12

Savenko, Oleg, Anatoliy Sachenko, Sergii Lysenko, George Markowsky, and Nadiia Vasylkiv. "BOTNET DETECTION APPROACH BASED ON THE DISTRIBUTED SYSTEMS." International Journal of Computing 19, no. 2 (2020): 190–98. http://dx.doi.org/10.31891/1727-6209/2020/19/2-190-198.

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13

Berger, Τ., P. Bort, and D. John. "Verteilte Systeme im Kraftfahrzeug / Distributed Systems in Vehicles." itit 41, no. 5 (1999): 7–11. http://dx.doi.org/10.1524/itit.1999.41.5.7.

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14

ISHIDA, Takeshi. "E203 EVALUATTED MODEL OF THE DISTRIBUTED ENERGY NETWORK SYSTEM OF AN URBAN DISTRICT(Distributed Energy System-3)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–377_—_2–382_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-377_.

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15

Li Jiangyong, 李江勇, 王淼妍 Wang Miaoyan та 贲畅 Ben Chang. "分布式光电系统性能评估". Laser & Optoelectronics Progress 58, № 18 (2021): 1811026. http://dx.doi.org/10.3788/lop202158.1811026.

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16

M, Dhinakaran, Sivapriya S, Thirugnanasoundari K, and Vanmathi V. "Distributed System in Mobile Agent Communication." SIJ Transactions on Computer Networks & Communication Engineering 05, no. 05 (2017): 05–09. http://dx.doi.org/10.9756/sijcnce/v5i5/05010150101.

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17

Kojima, Hiroshi, Tohru Katsuno, Yosuke Nakanishi, Yoshikazu Fukuyama, Hideki Matsuda, and Yasuhisa Kanazawa. "E202 AN INTRODUCTION EFFECT EVALUATION TOOL FOR DISTRIBUTED GENERATORS(Distributed Energy System-3)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–371_—_2–376_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-371_.

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18

Morita, Hikaru, Yoshinori Hisazumi, Yoshimichi Kiuchi, and Hideki Yamaguchi. "E109 A Cogeneration System for an Apartment Building Based on Distributed Heat Storage Technology(Distributed Energy System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–281_—_1–286_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-281_.

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19

Gurevich, Pavel, and Sergey Tikhomirov. "Systems of reaction-diffusion equations with spatially distributed hysteresis." Mathematica Bohemica 139, no. 2 (2014): 239–57. http://dx.doi.org/10.21136/mb.2014.143852.

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20

Banerjee, Dyuti, and Praveen Kumar. "Analysis of Snapshot Protocols for Distributed and Mobile Systems." Scientific Journal of India 2, no. 1 (2017): 29–33. http://dx.doi.org/10.21276/24565644/2017.v2.i1.12.

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21

Joy T, Thushara, and Sruthy Manmadhan. "Reallocation of Load in Nodes of Distributed File Systems." International Journal of Scientific Research 3, no. 5 (2012): 274–75. http://dx.doi.org/10.15373/22778179/may2014/84.

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22

Zakarya, Muhammad, Izaz Ur Rahman, and Imtiaz Ullah. "An Overview of File Server Group in Distributed Systems." International Journal of Engineering and Technology 4, no. 6 (2012): 730–33. http://dx.doi.org/10.7763/ijet.2012.v4.473.

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23

Rani, P. Sobha, Dr A. Lakshmi Devi, and K. Murali K.Murali. "Loss Minimization in Distribution Systems Using Multi Distributed Generation." Indian Journal of Applied Research 3, no. 11 (2011): 173–75. http://dx.doi.org/10.15373/2249555x/nov2013/58.

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24

Karabut, N. O., O. H. Rybalchenko та I. O. Dotsenko. "Технологія захисту даних, що обробляються у розподілених інформаційних системах". Jornal of Kryvyi Rih National University, № 53 (2022): 112–18. http://dx.doi.org/10.31721/2306-5451-2022-1-53-112-118.

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25

Kostenko, Ganna, and Artur Zaporozhets. "Enhancing of the power system resilience through the application of micro power systems (microgrid) with renewable distributed generation." System Research in Energy 2023, no. 3 (2023): 25–38. http://dx.doi.org/10.15407/srenergy2023.03.025.

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The power sector plays a critical role in the functioning of the economy and the security of a country, being closely interconnected with other vital infrastructures, such as gas supply, water supply, transportation, and telecommunications. Ensuring a stable power supply is crucial for the uninterrupted operation of these systems. One way to enhance the resilience of the power system is by integrating local networks with distributed renewable generation into the overall energy infrastructure. The flexibility, stability, controllability, and self-healing capabilities of microgrids make them an effective solution for improving the resilience of the power system. The power grid is susceptible to disturbances and disruptions that can cause large-scale power outages for consumers. Statistical data indicates that approximately 90% of outages occur due to issues in the distribution system, thus research focuses on local microgrids with distributed renewable generation. This study analyzed the role of microgrids with renewable generation in enhancing the resilience of power systems. Additionally, functions of microgrids that contribute to enhancing power system resilience, such as service restoration, network formation strategies, control and stability, as well as preventive measures, were summarized. It was found that local microgrids have significant potential to enhance power system resilience through the implementation of various strategies, from emergency response planning to providing reliable energy supply for quick responses to military, environmental, and human-induced crises. The concept of local distributed energy generation, storage, and control can reduce reliance on long-distance power transmission lines, reduce network vulnerabilities, and simultaneously improve its resilience and reduce recovery time. It has been determined that the most necessary and promising approaches to enhance the resilience of the power system include developing appropriate regulatory frameworks, implementing automatic frequency and power control systems, ensuring resource adequacy (including the reservation of technical components), promoting distributed generation, integrating energy storage systems into the energy grid, and strengthening cyber security. Keywords: resilience, local power systems, MicroGrid, distributed generation, renewable energy sources.

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26

Kleinrock. "Distributed Systems." Computer 18, no. 11 (1985): 90–103. http://dx.doi.org/10.1109/mc.1985.1662747.

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27

Kleinrock, Leonard. "Distributed systems." Communications of the ACM 28, no. 11 (1985): 1200–1213. http://dx.doi.org/10.1145/4547.4552.

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28

Wilbur, SR. "Distributed systems." Computer Communications 13, no. 4 (1990): 250. http://dx.doi.org/10.1016/0140-3664(90)90123-x.

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29

Vajda, Ferenc. "Distributed systems." Microprocessing and Microprogramming 18, no. 1-5 (1986): 453–54. http://dx.doi.org/10.1016/0165-6074(86)90077-3.

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30

Pratt, SJ. "Distributed systems." Information and Software Technology 33, no. 4 (1991): 302. http://dx.doi.org/10.1016/0950-5849(91)90158-8.

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31

Gomes, L., and A. Steiger-Garção. "Sistema distribuido para monitorización y control integrado de edificios." Informes de la Construcción 50, no. 459 (1999): 35–42. http://dx.doi.org/10.3989/ic.1999.v50.i459.829.

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32

K., Arul Jothy, Sivakumar K., and Delsey M.J. "Distributed System Framework for Mobile Cloud Computing." Bonfring International Journal of Research in Communication Engineering 8, no. 1 (2018): 05–09. http://dx.doi.org/10.9756/bijrce.8357.

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33

Paul Rajan, R. Arokia. "Service Request Scheduling based on Quantification Principle using Conjoint Analysis and Z-score in Cloud." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (2018): 1238. http://dx.doi.org/10.11591/ijece.v8i2.pp1238-1246.

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Service request scheduling has a major impact on the performance of the service processing design in a large-scale distributed computing environment like cloud systems. It is desirable to have a service request scheduling principle that evenly distributes the workload among the servers, according to their capacities. The capacities of the servers are termed high or low relative to one another. Therefore, there is a need to quantify the server capacity to overcome this subjective assessment. Subsequently, a method to split and distribute the service requests based on this quantified server capacity is also needed. The novelty of this research paper is to address these requirements by devising a service request scheduling principle for a heterogeneous distributed system using appropriate statistical methods, namely Conjoint analysis and Z-score. Suitable experiments were conducted and the experimental results show considerable improvement in the performance of the designed service request scheduling principle compared to a few other existing principles. Areas of further improvement have also been identified and presented.

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T.V., Rohini. "Adaptive Dynamic Data Replication with Load-balancing in Distributed Systems." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (2020): 1034–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201349.

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35

Sapaty, P. S. "Development of space-based distributed systems under spatial grasp technology." Mathematical machines and systems 4 (2021): 3–14. http://dx.doi.org/10.34121/1028-9763-2021-4-3-14.

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Many governmental agencies and private companies of different countries are now rushing into space around Earth in the hope to provide smart communication, industrial, security and defense solutions. This often involves massive launches of small cheap satellites which are also contributing to the growth of space debris. The current paper discusses how the developed high-level system philosophy and model can effectively organize distributed space-based systems on different stages of their development and growth. The briefed Spatial Grasp Technology, based on parallel pattern-matching of distributed environments with high-level recursive mobile code, can effectively provide any networking protocols and important applications of large satellite constellations, especially those in low Earth orbits. The article gives some examples of technology-based solutions for establishing basic communications between satellites, starting from their initial, often chaotic, launches and distributing and collecting data in the growing constellations with even unstable and rapidly changing connections between satellites. It describes how to organize and register networking topologies in case of predictable distances between satellites, and how the fixed networking structures can help in solving complex problems. The latter includes those related to the new Space Development Agency’s multiple-satellite defense-oriented architecture and allows for effective integration of its continuous Earth custody observation and cooperative missile tracking and elimination layers, based on self-spreading mobile intelligence. Earlier versions of the technology, described in many papers, six books including, were prototyped and used in different countries, with the current one quickly implementable too, even in university-based environments.

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Nirmala, M. S. "HBA: Distributed Metadata Management for Large Cluster-Based Storage Systems." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 1966–71. http://dx.doi.org/10.31142/ijtsrd18211.

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37

Roatti, Howard. "Project Oriented Learning: Uma Aplicação à Disciplina de Sistemas Distribuídos." Revista Científica Faesa 14, no. 1 (2018): 107–14. http://dx.doi.org/10.5008/1809.7367.133.

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38

Alaşahan, Yusuf, and Salih Tosun. "DAĞITILMIŞ SERİ REAKTÖRLERİN(DSR) GÜÇ SİSTEMLERİNE ETKİLERİ." e-Journal of New World Sciences Academy 15, no. 4 (2020): 50–63. http://dx.doi.org/10.12739/nwsa.2020.15.4.2a0184.

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Distributed Flexible Alternating Current Transmission System (DFACTS) devices are devices that are connected in series to the transmission line and even adding reactance. Devices, also referred to as Distributed Serial Reactors (DSR), have the ability correct impedance imbalance by interfering with line parameters in the power system. In addition, voltage balancing as a result of balanced load flow enables more power transmission or more efficient use of the power system's transmission capability. For this reason, the use of the system to control its loadability without expanding its dimensions is becoming more and more widespread. In this study, the effects of DSR devices on system loadability and voltage stability and their applicability are analyzed. The analysis was carried out on the Institute of Electrical and Electronics Engineers (IEEE) 6-bus Standard system using the Power World Simulator Program. The effects of DSR on the system were investigated by performing load flow.

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Naz, Najia, Abdul Haseeb Malik, Abu Bakar Khurshid, et al. "Efficient Processing of Image Processing Applications on CPU/GPU." Mathematical Problems in Engineering 2020 (October 10, 2020): 1–14. http://dx.doi.org/10.1155/2020/4839876.

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Heterogeneous systems have gained popularity due to the rapid growth in data and the need for processing this big data to extract useful information. In recent years, many healthcare applications have been developed which use machine learning algorithms to perform tasks such as image classification, object detection, image segmentation, and instance segmentation. The increasing amount of big visual data requires images to be processed efficiently. It is common that we use heterogeneous systems for such type of applications, as processing a huge number of images on a single PC may take months of computation. In heterogeneous systems, data are distributed on different nodes in the system. However, heterogeneous systems do not distribute images based on the computing capabilities of different types of processors in the node; therefore, a slow processor may take much longer to process an image compared to a faster processor. This imbalanced workload distribution observed in heterogeneous systems for image processing applications is the main cause of inefficient execution. In this paper, an efficient workload distribution mechanism for image processing applications is introduced. The proposed approach consists of two phases. In the first phase, image data are divided into an ideal split size and distributed amongst nodes, and in the second phase, image data are further distributed between CPU and GPU according to their computation speeds. Java bindings for OpenCL are used to configure both the CPU and GPU to execute the program. The results have demonstrated that the proposed workload distribution policy efficiently distributes the images in a heterogeneous system for image processing applications and achieves 50% improvements compared to the current state-of-the-art programming frameworks.

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Daghistani, Anas, Walid G. Aref, Arif Ghafoor, and Ahmed R. Mahmood. "SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data." ACM Transactions on Spatial Algorithms and Systems 7, no. 3 (2021): 1–43. http://dx.doi.org/10.1145/3460013.

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The proliferation of GPS-enabled devices has led to the development of numerous location-based services. These services need to process massive amounts of streamed spatial data in real-time. The current scale of spatial data cannot be handled using centralized systems. This has led to the development of distributed spatial streaming systems. Existing systems are using static spatial partitioning to distribute the workload. In contrast, the real-time streamed spatial data follows non-uniform spatial distributions that are continuously changing over time. Distributed spatial streaming systems need to react to the changes in the distribution of spatial data and queries. This article introduces SWARM, a lightweight adaptivity protocol that continuously monitors the data and query workloads across the distributed processes of the spatial data streaming system and redistributes and rebalances the workloads as soon as performance bottlenecks get detected. SWARM is able to handle multiple query-execution and data-persistence models. A distributed streaming system can directly use SWARM to adaptively rebalance the system’s workload among its machines with minimal changes to the original code of the underlying spatial application. Extensive experimental evaluation using real and synthetic datasets illustrate that, on average, SWARM achieves 2 improvement in throughput over a static grid partitioning that is determined based on observing a limited history of the data and query workloads. Moreover, SWARM reduces execution latency on average 4 compared with the other technique.

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Kindler, Ekkart, and Sibylle Peuker. "Integrating Distributed Algorithms into Distributed Systems." Fundamenta Informaticae 37, no. 3 (1999): 291–309. http://dx.doi.org/10.3233/fi-1999-37306.

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42

Doeppner, Thomas W. "Distributed file systems and distributed memory." ACM Computing Surveys 28, no. 1 (1996): 229–31. http://dx.doi.org/10.1145/234313.234409.

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43

Reed, Morton W. "Distributed simulation using distributed control systems." ACM SIGSIM Simulation Digest 20, no. 4 (1990): 143–51. http://dx.doi.org/10.1145/99637.99656.

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44

S. Abdulrahman, Mohammad, Rebin B. Koshnaw, and Mazin S. Al-Hakeem. "SMS DISTRIBUTER BASED PATIENT APPOINTMENTS SYSTEM." Qalaai Zanist Scientific Journal 2, no. 2 (2017): 421–30. http://dx.doi.org/10.25212/lfu.qzj.2.2.42.

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45

Sapaty, P. S. "Providing distributed system integrity under spatial grasp technology." Mathematical machines and systems 2 (2023): 18–27. http://dx.doi.org/10.34121/1028-9763-2023-2-18-27.

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In the last decades, we have witnessed an exploding growth of different kinds of sophisticated distributed systems with financial, industrial, ecological, security, military, and many other ap-plications. Providing high integrity of such systems is becoming a key point of their develop-ment, evolution, and usage, especially in various crisis situations and under disastrous and ad-versarial conditions. The paper reviews a number of existing works on the integrity, security, and recovery of distributed systems. It also briefs the main aspects of the Spatial Grasp Model and Technology (SGT), reflecting some general issues of the paradigm, its Spatial Grasp Lan-guage (SGL), and networked SGL interpretation in distributed environments. SGT can dynami-cally establish and keep superior power over large distributed systems, including creating them from scratch. Using a graph-based representation of the distributed system topologies, with nodes having both virtual and physical properties, the paper shows full topology creation start-ing from all nodes in parallel and then from a single node, also copying the existing topology in similar cases. In addition, it demonstrates how to organize distributed systems in such a way so that they can self-recover in any circumstances and after any damages by supplying their nodes with universal genetic-like capabilities by which any self-repairs can be organized. Such recovery may be from missing neighboring nodes and links to the rebuilding of the distributed topologies, which means they cannot be destroyed even in the severest conditions. These features can be particularly useful after IT network damages, environmental and industrial disasters, for crisis management, and on battlefields. The paper confirms the efficiency of the developed distributed control approach for providing high integrity and self-recovery of im-portant distributed systems.

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INUKAI, Toshihiro, Hironori HIBINO, and Yoshiro FUKUDA. "Efficient Design and Evaluation for Manufacturing Systems Using Distributed Real Simulation(Manufacturing systems and Scheduling)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2005.2 (2005): 397–402. http://dx.doi.org/10.1299/jsmelem.2005.2.397.

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Baideme, Matthew, Adam Brady, and Cristian Robbins. "Distributed Treatment Systems." Water Environment Research 85, no. 10 (2013): 1339–53. http://dx.doi.org/10.2175/106143013x13698672322264.

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Baideme, Matthew, Matty Haith, Robert Nahabedian, and Kimberly Quell. "Distributed Treatment Systems." Water Environment Research 86, no. 10 (2014): 1332–53. http://dx.doi.org/10.2175/106143014x14031280667859.

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Zgonc, David, and Matthew Baideme. "Distributed Treatment Systems." Water Environment Research 87, no. 10 (2015): 1196–207. http://dx.doi.org/10.2175/106143015x14338845155624.

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Zgonc, David, and Luke Plante. "Distributed Treatment Systems." Water Environment Research 89, no. 10 (2017): 1315–24. http://dx.doi.org/10.2175/106143017x15023776270331.

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