Relevant bibliographies by topics / Heterogenous information network

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Heterogenous information network'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Heterogenous information network"

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DURRESI, ARJAN, VAMSI PARUCHURI, and RAJ JAIN. "GEOMETRIC BROADCAST PROTOCOL FOR HETEROGENEOUS SENSOR NETWORKS." Journal of Interconnection Networks 06, no. 03 (September 2005): 193–207. http://dx.doi.org/10.1142/s0219265905001381.

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We present Geometric Broadcast for Heterogeneous Sensor Networks (GBS), a novel broadcasting protocol for heterogeneous wireless sensor and actor networks. While broadcasting is a very energy expensive protocol, it is also widely used as a building block for a variety of other network layer protocols. Therefore, reducing the energy consumption by optimizing broadcasting is a major improvement in heterogenous sensor networking. GBS is a distributed algorithm where nodes make local decisions on whether to transmit based on a geometric approach. GBS does not need any neighborhood information and imposes very low communication overhead. GBS is scalable to the change in network size, node type, node density and topology. Furthermore it accommodates seamlessly such network changes, including the presence of actors in heterogeneous sensor networks. Indeed, GBS takes advantage of actor nodes, and uses their resources when possible, thus reducing the energy consumption by sensor nodes. Through simulation evaluations, we show that GBS is very scalable and its performance is improved by the presence of actors. At the best of our knowledge, GBS is the first broadcast protocol designed specifically for heterogeneous sensor and actor networks.
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Geerts, Robbe, Frédéric Vandermoere, and Stijn Oosterlynck. "The Functionality of Dissimilarity: Pro-Environmental Behavior through Heterogenous Networks." Social Sciences 9, no. 12 (December 1, 2020): 221. http://dx.doi.org/10.3390/socsci9120221.

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This study explores whether social interaction with dissimilar others can lead to pro-environmental behavior. Dissimilar others are people who differ from the person in question (e.g., in terms of lifestyle or culture). While most research focuses on homogenous social networks (e.g., spatial communities), we explore the potential of network heterophily. Specifically, using data (n = 1370) from the Flemish Survey on Sociocultural Shifts, we examine the relationship between network heterophily and pro-environmental behavior (i.e., shopping decisions and curtailment behavior). Building on Granovetter’s study on ‘the strength of weak ties’, we emphasize the importance of social ties that provide novel information and social expectations. Through interaction with dissimilar others, people may create a heterogeneous network in which a diversity of information and social expectations with regard to pro-environmental behavior circulates. We expect that network heterophily may foster pro-environmental behavior. Our findings indicate that pro-environmental behavior may indeed be positively related to interaction with dissimilar others, partly because people with many dissimilar ties know more about environmental problems and are more concerned about them. This study therefore shows that network heterophily promotes pro-environmental behavior. The paper concludes with a discussion of the functionality of dissimilarity and some avenues for future research.
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A. P, Kavya, and D. J. Ravi. "A Distributed Clustering Based Energy Management Scheme for Heterogenous Wireless Sensor Network." Journal of Communication Engineering and Its Innovations 9, no. 1 (January 23, 2023): 1–13. http://dx.doi.org/10.46610/jocei.2023.v09i01.001.

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The Internet of Things (IoT) is an emerging paradigm that offers a wide array of benefits for real-world applications. An IoT system is supported by a network of heterogeneous sensor nodes that collect information about the environment over time. The non-rechargeable batteries and energy constraints limit the network's lifespan. For this reason, controlling energy dissipation is one of the most important considerations when designing communication protocols for sensor networks. The clustering scheme is one of the most efficient ways to help networks be more energy-efficient. However, the majorities of existing protocols do not handle energy distribution among heterogeneous sensor nodes well and are inappropriate. The purpose of this paper is to emphasize cluster head selection criteria and to propose an energy management clustering mechanism that takes heterogeneity into account. A dense deployment of heterogeneous multi-level nodes is considered in the proposed scheme to improve the nodes' stability and power efficiency. The threshold probability for selecting optimal CH nodes is determined by an energy-balanced weighted parameter. The proposed scheme is implemented on a numerical computing tool MatLab. In terms of alive nodes, dead nodes, packets sent to the base station, and processing time, the simulation provides efficient results. When compared to similar existing approaches, the proposed scheme was more successful in terms of network lifetime, stability, delay, and packet delivery.
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Alawi, Mahmoud, Raed Alsaqour, Maha Abdelhaq, Reem Alkanhel, Baraa Sharef, Elankovan Sundararajan, and Mahamod Ismail. "Adaptive QoS-Aware Multi-Metrics Gateway Selection Scheme for Heterogenous Vehicular Network." Systems 10, no. 5 (September 7, 2022): 142. http://dx.doi.org/10.3390/systems10050142.

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A heterogeneous vehicular network (HetVNET) is a promising network architecture that combines multiple network technologies such as IEEE 802.11p, dedicated short-range communication (DSRC), and third/fourth generation cellular networks (3G/4G). In this network area, vehicle users can use wireless fidelity access points (Wi-Fi APs) to offload 4G long-term evolution (4G-LTE) networks. However, when using Wi-Fi APs, the vehicles must organize themselves and select an appropriate mobile gateway (MGW) to communicate to the cellular infrastructure. Researchers are facing the problem of selecting the best MGW vehicle to aggregate vehicle traffic and reduce LTE load in HetVNETs when the Wi-Fi APs are unavailable for offloading. The selection process utilizes extra network overhead and complexity due to the frequent formation of clusters in this highly dynamic environment. In this study, we proposed a non-cluster adaptive QoS-aware gateway selection (AQAGS) scheme that autonomously picks a limited number of vehicles to act as LTE gateways based on the LTE network’s load status and vehicular ad hoc network (VANET) application’s QoS requirements. The present AQAGS scheme focuses on highway scenarios. The proposed scheme was evaluated using simulation of Urban mobility (SUMO) and network simulator version 2 (NS2) simulators and benchmarked with the clustered and non-clustered schemes. A comparison was made based on the end-to-end delay, throughput, control packet overhead (CPO), and packet delivery ratio (PDR) performance metrics over Voice over Internet Protocol (VoIP) and File Transfer Protocol (FTP) applications. Using VoIP, the AQAGS scheme achieved a 26.7% higher PDR compared with the other schemes.
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Jankovics, Vince, Michael Garcia Ortiz, and Eduardo Alonso. "HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (May 18, 2021): 15803–4. http://dx.doi.org/10.1609/aaai.v35i18.17898.

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This paper aims to bridge this gap between neuro-symbolic learning (NSL) and graph neural networks (GNN) approaches and provide a comparative study. We argue that the natural evolution of NSL leads to GNNs, while the logic programming foundations of NSL can bring powerful tools to improve the way information is represented and pre-processed for the GNN. In order to make this comparison, we propose HetSAGE, a GNN architecture that can efficiently deal with the resulting heterogeneous graphs that represent typical NSL learning problems. We show that our approach outperforms the state-of-the-art on 3 NSL tasks: CORA, MUTA188 and MovieLens.
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Chen, Xiaonan, and Suxia Zhang. "An SEIR model for information propagation with a hot search effect in complex networks." Mathematical Biosciences and Engineering 20, no. 1 (2022): 1251–73. http://dx.doi.org/10.3934/mbe.2023057.

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<abstract><p>We formulate an SEIR model for information propagation with the effect of a hot search in complex networks. Mathematical analysis is conducted in both a homogeneous network and heterogenous network. The results reveal that the dynamics are completely determined by the basic propagation number if the effect of a hot search is absent. On the other hand, when the effect of a hot search is taken into account, there exists no information-free equilibrium, and the information-propagating equilibrium is stable if the threshold is greater than 1. Numerical simulations were performed to examine the sensitivity of the parameters to the basic propagation number and the propagable nodes. Furthermore, the proposed model has been applied to fit the collected data for two types of information spreading in Sina Weibo, which confirmed the validity of our model and simulated the dynamical behaviors of information propagation.</p></abstract>
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Singh, Harmeet, Manju Bala, and Sukhvinder Singh Bamber. "Augmenting network lifetime for heterogenous WSN assisted IoT using mobile agent." Wireless Networks 26, no. 8 (July 10, 2020): 5965–79. http://dx.doi.org/10.1007/s11276-020-02422-z.

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Shao, Ruizhe, Chun Du, Hao Chen, and Jun Li. "SUNet: Change Detection for Heterogeneous Remote Sensing Images from Satellite and UAV Using a Dual-Channel Fully Convolution Network." Remote Sensing 13, no. 18 (September 18, 2021): 3750. http://dx.doi.org/10.3390/rs13183750.

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Change Detection in heterogeneous remote sensing images plays an increasingly essential role in many real-world applications, e.g., urban growth tracking, land use monitoring, disaster evaluation and damage assessment. The objective of change detection is to identify changes of geo-graphical entities or phenomena through two or more bitemporal images. Researchers have invested a lot in the homologous change detection and yielded fruitful results. However, change detection between heterogenous remote sensing images is still a great challenge, especially for change detection of heterogenous remote sensing images obtained from satellites and Unmanned Aerial Vehicles (UAV). The main challenges in satellite-UAV change detection tasks lie in the intensive difference of color for the same ground objects, various resolutions, the parallax effect and image distortion caused by different shooting angles and platform altitudes. To address these issues, we propose a novel method based on dual-channel fully convolution network. First, in order to alleviate the influence of differences between heterogeneous images, we employ two different channels to map heterogeneous remote sensing images from satellite and UAV, respectively, to a mutual high dimension latent space for the downstream change detection task. Second, we adopt Hough method to extract the edge of ground objects as auxiliary information to help the change detection model to pay more attention to shapes and contours, instead of colors. Then, IoU-WCE loss is designed to deal with the problem of imbalanced samples in change detection task. Finally, we conduct extensive experiments to verify the proposed method using a new Satellite-UAV heterogeneous image data set, named HTCD, which is annotated by us and has been open to public. The experimental results show that our method significantly outperforms the state-of-the-art change detection methods.
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Avirmed, Altankhuyag, Uranchimeg Erdenedalai, Selenge Erdenechimeg, Yansen Su, and Tseren-Onolt Ishdorj. "Biomolecular Network-based Study of a Parasitic Disease and Therapeutic Drugs." ICT Focus 1, no. 1 (September 29, 2022): 22–34. http://dx.doi.org/10.58873/sict.v1i1.31.

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Computational drug repurposing methods, particularly biomolecular network-based disease-drug-target interaction models, are essential tools for integrating large-scale heterogenous molecular information and revealing functional mechanisms, as well as for main regulatory modules of interactants which can be useful in developing new drugs. In the present study, a drug-centric network for a parasitic disease (Echinococcosis) and therapeutic drugs have been considered. A complex network with more than 12,000 vertices and more than 33,000 edges representing interactions of 84 echinococcosis-related genes with associated proteins was built and analyzed. The networks of disease similarity and drug similarity were constructed based on the complex network. As a result, three drugs (D08356, D00701, and D00506) associated with three candidate diseases through three pathways and a protein complex have been extracted. This effort tries to predict the anti-echinococcosis effects of the drugs’ combinations with benzimidazole.
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Du, Dehui, Tong Guo, and Yao Wang. "DSML4CS." International Journal of Web Services Research 17, no. 2 (April 2020): 59–75. http://dx.doi.org/10.4018/ijwsr.2020040104.

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Cyber physical systems (CPS's) are a kind of complex system with highly integrated interaction between computing resources and physical environment in a network environment. There are some challenges in modeling and simulation of heterogeneous CPS due to its hybrid and heterogenous characteristics. To address the issue, we propose an executable domain specific modeling language for co-simulation (DSML4CS) to model the co-simulation of CPS. According to the construction method of domain modeling language, we present the abstract syntax, concrete syntax and operational semantics of DSML4CS. We also propose a flexible co-simulation mechanism, which supports partial step revision of specific co-simulation process with the state event fault-tolerant mechanism. The co-simulation language for heterogeneous CPS is implemented based on the GEMOC platform. Our aim is to provide the co-simulation service in CPS. The usability of DSML4CS is illustrated with a case study of a temperature control system in an energy-aware building.
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Dissertations / Theses on the topic "Heterogenous information network"

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Zhang, Jianjun. "Efficient Information Dissemination in Wide Area Heterogeneous Overlay Networks." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/16129.

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In this dissertation research we study and address the unique challenges involved in information sharing and dissemination of large-scale group communication applications. We focus on system architectures and various techniques for efficient and scalable information dissemination in distributed P2P environments. Our solutions are developed by targeting at utilizing three representative P2P overlay networks: structured P2P network based on consistent hashing techniques, unstructured Gnutella-like P2P network, and P2P GeoGrid based on geographical location and proximity of end nodes. We have made three unique contributions to the general field of large-scale information sharing and dissemination. First, we propose a landmark-based peer clustering techniques to grouping end-system nodes by their network proximity, and a communication management technique addresses load balancing and reliability of group communication applications in structured P2P network. Second, we develop a utility-based P2P group communication service middleware, consisting of a utility-based topology management and a utility-aware P2P routing, for providing scalable and efficient group communication services in an unstructured P2P overlay network of heterogeneous peers. Third, we propose an overlay network management protocol that is aware of the geographical location of end-system nodes and a set of routing and adaptation techniques, aiming at building decentralized information dissemination service networks to support location-based applications and services. Although different overlay networks require different system designs for building scalable and efficient information dissemination services, we have employed two common design philosophies: (1) exploiting end-system heterogeneity and (2) utilizing proximity information of end-system nodes to localize most of the communication traffic, and (3) using randomized shortcuts to accelerate long-distant communications. We have demonstrated our design philosophies and the performance improvements in the above three types of P2P overlay networks. Concretely, by assigning more workloads to more powerful peers, we can greatly increase the system scalability and reduce the variation of workload distribution. By clustering end-system nodes based on their IP-network proximity or their geographical proximity, and utilizing randomized shortcuts, we can reduce the end-to-end communication latency, balance peer workloads against service request hotspots across the overlay network, and significantly enhance the scalability and efficiency of large-scale decentralized information dissemination and group communication.
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Andersson, Karl. "On access network selection models and mobility support in heterogeneous wireless networks." Doctoral thesis, Luleå tekniska universitet, Datavetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18402.

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The aim of this thesis is to define a solution offering end-users seamless mobility in a multi-radio access technology environment. Today an increasing portion of cell phones and PDAs have more than one radio access technology and wireless access networks of various types are commonly available with overlapping coverage. This creates a heterogeneous network environment in which mobile devices can use several networks in parallel. In such environment the device needs to select the best network for each application to use available networks wisely. Selecting the best network for individual applications constitutes a major core problem.The thesis proposes a host-based solution for access network selection in heterogeneous wireless networking environments. Host-based solutions use only information available in mobile devices and are independent of information available in the networks to which these devices are attached. The host-based decision mechanism proposed in this thesis takes a number of constraints into account including network characteristics and mobility patterns in terms of movement speed of the user. The thesis also proposes a solution for network-based mobility management contrasting the other proposals using a host-based approach. Finally, this thesis proposes an architecture supporting mobility for roaming users in heterogeneous environments avoiding the need for scanning the medium when performing vertical handovers.Results include reduced handover latencies achieved by allowing hosts to use multihoming, bandwidth savings on the wireless interface by removing the tunneling overhead, and handover guidance through the usage of directory-based solutions instead of scanning the medium. User-perceived quality of voice calls measured on the MOS (Mean Opinion Score) scale shows no or very little impact from the mobility support procedures proposed in this thesis. Results also include simulation models, real-world prototypes, and testbeds that all could be used in future work. The proposed solutions in this thesis are mainly evaluated using simulations and experiments with prototypes in live testbeds. Analytical methods are used to complement some results from simulations and experiments
Godkänd; 2010; 20100811 (karand); DISPUTATION Ämnesområde: Mobila system/Mobile Systems Opponent: Universitetslektor, docent Marcus Fiedler, Blekinge tekniska högskola Ordförande: Universitetslektor, docent Christer Åhlund, Luleå tekniska universitet Tid: Fredag den 12 november 2010, kl 11.00 Plats: A1514 Demostudion, Luleå tekniska universitet
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Köhler, Fredrik. "Network Virtualization in Multi-hop Heterogeneous Architecture." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-38696.

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Software Defined Networking is a technology that introduces modular and programmable networks that uses separated control- and data-planes. Traditional networks use mostly proprietary protocols and devices that needs to communicate with each other and share information about routes and paths in the network. SDN on the other hand uses a controller that communicates with devices through an open source protocol called OpenFlow. The routing rules of flows can be inserted into the networking devices by the controller. This technology is still new and it requires more research to provide evidence that it can perform better, or at least as good as, the conventional networks. By doing some experiments on different topologies, this thesis aims at discovering how delays of flows are affected by having OpenFlow in the network, and identifying overhead of using such technology. The results show that, the overhead can be to large for time and noise sensitive applications and average delay is comparable to conventional networks.
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Bhatia, Vishal. "Remote programming for heterogeneous sensor networks." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1091.

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Oliveira, Talmai B. "Dealing with Uncertainty and Conflicting Information in Heterogeneous Wireless Networks." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1352490436.

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Toledo, Testa Juan Ignacio. "Information extraction from heterogeneous handwritten documents." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667388.

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L’objectiu d’aquesta tesi és l’extracció d’Informació de documents total o parcialment manuscrits amb una certa estructura. Bàsicament treballem amb dos escenaris d’aplicació diferent. El primer escenari són els documents moderns altament estructurats, com formularis. En aquests documents, la informació semàntica està ja definida en camps, amb una posició concreta al document i l’extracció de la informació és equivalent a una transcripció. El segon escenari son els documents semi-estructurats totalment manuscrits on, a més de transcriure, cal associar un valor semàntic, d’entre un conjunt conegut de valors possibles, a les paraules que es transcriuen. En ambdós casos la qualitat de la transcripció té un gran pes en la precisió del sistema, per això proposem models basats en xarxes neuronals per a transcriure text manuscrit. Per a poder afrontar el repte dels documents semi-estructurats hem generat un benchmark, compost de dataset, una sèrie de tasques definides i una mètrica que es va presentar a la comunitat científica com a una competició internacional. També proposem diferents models basats en Xarxes Neuronals Convolucionals i recurrents, capaços de transcriure i assignar diferent etiquetes semàntiques a cada paraula manuscrita, és a dir, capaços d'extreure informació.
El objetivo de esta tesis es la extracción de Información de documentos total o parcialmente manuscritos, con una cierta estructura. Básicamente trabajamos con dos escenarios de aplicación diferentes. El primer escenario son los documentos modernos altamente estructurados, como los formularios. En estos documentos, la información semántica está pre-definida en campos con una posición concreta en el documento i la extracción de información es equivalente a una transcripción. El segundo escenario son los documentos semi-estructurados totalmente manuscritos, donde, además de transcribir, es necesario asociar un valor semántico, de entre un conjunto conocido de valores posibles, a las palabras manuscritas. En ambos casos, la calidad de la transcripción tiene un gran peso en la precisión del sistema. Por ese motivo proponemos modelos basados en redes neuronales para transcribir el texto manuscrito. Para poder afrontar el reto de los documentos semi-estructurados, hemos generado un benchmark, compuesto de dataset, una serie de tareas y una métrica que fue presentado a la comunidad científica a modo de competición internacional. También proponemos diferentes modelos basados en Redes Neuronales Convolucionales y Recurrentes, capaces de transcribir y asignar diferentes etiquetas semánticas a cada palabra manuscrita, es decir, capaces de extraer información.
The goal of this thesis is information Extraction from totally or partially handwritten documents. Basically we are dealing with two different application scenarios. The first scenario are modern highly structured documents like forms. In this kind of documents, the semantic information is encoded in different fields with a pre-defined location in the document, therefore, information extraction becomes equivalent to transcription. The second application scenario are loosely structured totally handwritten documents, besides transcribing them, we need to assign a semantic label, from a set of known values to the handwritten words. In both scenarios, transcription is an important part of the information extraction. For that reason in this thesis we present two methods based on Neural Networks, to transcribe handwritten text.In order to tackle the challenge of loosely structured documents, we have produced a benchmark, consisting of a dataset, a defined set of tasks and a metric, that was presented to the community as an international competition. Also, we propose different models based on Convolutional and Recurrent neural networks that are able to transcribe and assign different semantic labels to each handwritten words, that is, able to perform Information Extraction.
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Razzaghi, Kouchaksaraei Hadi [Verfasser]. "Orchestrating network services using multi-domain, heterogeneous resources / Hadi Razzaghi Kouchaksaraei." Paderborn : Universitätsbibliothek, 2020. http://d-nb.info/1222587939/34.

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Rönkä, S. (Sami). "Administration and management of software licenses in a heterogeneous environment:the case of global license service administration." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201305201323.

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This work presents a solution developed for the case company to help in license service management and license usage tacking for both system administrators and license owners or end users. The thesis first covers the basics for licenses and different licensing models used in Research and Development environments. It continues with a study of available tools for license management and usage reporting and their suitability for large enterprises. Based on this and discussions with the case company a solution is derived for the case company. The developed solution consists of a toolset for end users of the license and for the administrators of the license services and servers. Processes to be used in the tool and in practice in the company are defined together with the future users of the solution. The processes are introduced in this thesis along with the implemented supporting functionality in the tool itself. The solution helps the end users and administrators with customer management, license service management and change management. It also provides simple methods for license usage statistics, which are developed to be easily upgradable or changeable by modular design. This in turn enables changing just the usage reporting part of the tool, when planning new functionalities to cover new requirements expected to come later due to large organizational changes in the company
Tämä työ esittelee ratkaisun, joka on kehitetty auttamaan esimerkkiyhtiötä lisenssipalveluiden hallinnassa ja lisenssien käyttöraportoinnissa. Ratkaisu on kehitetty palvelemaan sekä lisenssijärjestelmien ylläpitäjiä, että lisenssien organisationaalisia omistajia ja loppukäyttäjiä. Työssä käydään ensin läpi lisenssien perusteet ja erilaiset lisensointimallit, jotka ovat yleisimmin käytössä tutkimus- ja tuotekehitysyksiköissä. Sitten arvioidaan olemassa olevien lisenssinhallinta- ja käyttöraportointityökalujen soveltuvuutta suurille yhtiöille. Tämän ja esimerkkiyhtiön kanssa käytyjen keskusteluiden perusteella valittiin sopivin ratkaisu, joka myös toteutettiin osana ratkaisua. Tehty ratkaisu koostuu työkaluista loppukäyttäjille sekä lisenssipalveluiden ja palvelimien ylläpitäjille. Myös työkalussa sekä käytännön työssä käytettävät prosessit määritettiin yhdessä työkalun tulevien käyttäjien kanssa. Nämä prosessit esitellään työssä yhdessä niitä tukevien työkalujen toiminnallisuuksien kanssa. Kehitetty ratkaisu auttaa sekä loppukäyttäjiä että ylläpitäjiä asiakashallinnan, lisenssipalveluiden hallinnan ja muutoksenhallinnan avulla. Kehitetty järjestelmä tarjoaa yksinkertaiset työkalut lisenssipalveluiden käyttöraportointiin. Nämä työkalut sekä niiden rajapinnat ovat suunniteltu helposti vaihdettaviksi sekä päivitettäviksi modulaarisella suunnittelulla. Tämän ansiosta ainoastaan käyttöraportointi voidaan rakentaa paremmin tai kokonaan uusiksi tarvittaessa, kun suunnitellaan uusia ominaisuuksia tarjoamaan työkaluja uusille vaatimuksille, joita oletettavasti on tulossa myöhemmin johtuen suurista organisaatiomuutoksista esimerkkiyhtiössä
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Ericsson, Joakim. "Object Migration in a Distributed, Heterogeneous SQL Database Network." Thesis, Linköpings universitet, Databas och informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148181.

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There are many different database management systems (DBMSs) on the market today. They all have different strengths and weaknesses. What if all of these different DBMSs could be used together in a heterogeneous network? The purpose of this thesis is to explore ways of connecting the many different DBMSs together. This thesis will explore suitable architectures, features, and performance of such a network. This is all done in the context of Ericsson’s wireless communication network. This has not been done in this context before, and a big part of the thesis is exploring if it is even possible. The result of this thesis shows that it is not possible to find a solution that can fulfill the requirements of such a network in this context
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Mies, Sebastian [Verfasser], and M. [Akademischer Betreuer] Zitterbart. "Autonomous Interconnection of Heterogeneous Networks / Sebastian Mies. Betreuer: M. Zitterbart." Karlsruhe : KIT-Bibliothek, 2012. http://d-nb.info/1026283787/34.

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Books on the topic "Heterogenous information network"

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Shi, Chuan, and Philip S. Yu. Heterogeneous Information Network Analysis and Applications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56212-4.

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Towards the wireless information society: Heterogeneous networks. Boston: Artech House, 2006.

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Bouguettaya, Athman. Interconnecting Heterogeneous Information Systems. Boston, MA: Springer US, 1998.

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Fang, Yixiang, Kai Wang, Xuemin Lin, and Wenjie Zhang. Cohesive Subgraph Search Over Large Heterogeneous Information Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97568-5.

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Yarvis, Mark D. Conductor: Distributed Adaptation for Heterogeneous Networks. Boston, MA: Springer US, 2002.

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Ismāʻīl, Muḥammad. Cooperative Networking in a Heterogeneous Wireless Medium. New York, NY: Springer New York, 2013.

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Daji, Qiao, and SpringerLink (Online service), eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks: 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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1959-, Fdida Serge, and Sugiura Kazunori, eds. Sustainable internet: Third Asian Internet Engineering Conference, AINTEC 2007, Phuket, Thailand, November 27-29, 2007 : proceedings. Berlin: Springer, 2007.

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Yu, Philip S., and Chuan Shi. Heterogeneous Information Network Analysis and Applications. Springer, 2018.

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Yu, Philip S., and Chuan Shi. Heterogeneous Information Network Analysis and Applications. Springer, 2017.

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Book chapters on the topic "Heterogenous information network"

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Zhao, Chenfei, Hengliang Wang, Yuan Li, and Kedian Mu. "Combining Meta-Graph and Attention for Recommendation over Heterogenous Information Network." In Database Systems for Advanced Applications, 383–97. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18576-3_23.

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Shi, Chuan, and Philip S. Yu. "Recommendation with Heterogeneous Information." In Heterogeneous Information Network Analysis and Applications, 97–141. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56212-4_5.

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Chen, Yuxin, and Chenguang Wang. "HINE: Heterogeneous Information Network Embedding." In Database Systems for Advanced Applications, 180–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55753-3_12.

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Li, Xiangyu, and Weizheng Chen. "Label Preserved Heterogeneous Network Embedding." In Neural Information Processing, 121–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92270-2_11.

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Kong, Chao, Baoxiang Chen, Shaoying Li, Yifan Chen, Jiahui Chen, and Liping Zhang. "GNE: Generic Heterogeneous Information Network Embedding." In Web Information Systems and Applications, 120–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60029-7_11.

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Su, Yuan, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, and Philip S. Yu. "Understanding Information Diffusion via Heterogeneous Information Network Embeddings." In Database Systems for Advanced Applications, 501–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18576-3_30.

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Lang, Xiupu, and Lin Gui. "Design of Southbound Interfaces in Heterogeneous Software-Defined Satellite Networks." In Space Information Network, 179–89. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1967-0_13.

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Shi, Chuan, and Philip S. Yu. "Schema-Rich Heterogeneous Network Mining." In Heterogeneous Information Network Analysis and Applications, 181–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56212-4_7.

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Torre, Roberto, Sreekrishna Pandi, and Frank H. P. Fitzek. "Network-Coded Multigeneration Protocols in Heterogeneous Cellular Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 357–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05195-2_35.

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Hou, Yunpeng, Chao Wang, Huasen He, and Jian Yang. "Mobility Management in Low Altitude Heterogeneous Networks Using Reinforcement Learning Algorithm." In Space Information Network, 119–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1967-0_9.

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Conference papers on the topic "Heterogenous information network"

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Yin, Jiangyi, Yuchun Guo, and Yishuai Chen. "Heterogenous Information Network Embedding Based Cross-Domain Recommendation System." In 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00060.

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Alqadah, Faris, and Raj Bhatnagar. "A game theoretic framework for heterogenous information network clustering." In the 17th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2020408.2020547.

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Chen, Kang, and Dehong Qiu. "Combined Metapath Based Attention Network for Heterogenous Networks Node Classification." In AISS 2021: 2021 3rd International Conference on Advanced Information Science and System. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3503047.3503109.

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Wang, Hang, Wenkang Huang, Fengyi Li, and Qiuhui Shi. "Heterogenous Graph Network for Explainable Medical Event Identification." In 2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT). IEEE, 2022. http://dx.doi.org/10.1109/fcsit57414.2022.00044.

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Wang, Xiaoyan, Yan Dong, and Zailu Huang. "A utility oriented radio resource management algorithm for heterogenous network." In Second International Conference on Spatial Information Technology, edited by Cheng Wang, Shan Zhong, and Jiaolong Wei. SPIE, 2007. http://dx.doi.org/10.1117/12.773324.

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Su Yoon, Ji, Sun Moo Kang, Seong Bae Park, and Choong Seon Hong. "GDFed: Dynamic Federated Learning for Heterogenous Device Using Graph Neural Network." In 2023 International Conference on Information Networking (ICOIN). IEEE, 2023. http://dx.doi.org/10.1109/icoin56518.2023.10048926.

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Wu, Qiong, Xinmiao Lu, and Ya Wang. "Decision Algorithm for Heterogenous Internet of Vehicles." In Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/cnci-19.2019.91.

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Tuah, Norah, and Mahamod Ismail. "Extending lifetime of heterogenous wireless sensor network using relay node selection." In 2013 International Conference of Information and Communication Technology (ICoICT). IEEE, 2013. http://dx.doi.org/10.1109/icoict.2013.6574542.

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Xhafa, Fatos, Victor Naranjo, Leonard Barolli, and Makoto Takizawa. "On Streaming Consistency of Big Data Stream Processing in Heterogenous Clutsers." In 2015 18th International Conference on Network-Based Information Systems (NBiS). IEEE, 2015. http://dx.doi.org/10.1109/nbis.2015.122.

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Jiang, Qing, Xiteng Zhang, Rong Chai, and Qianbin Chen. "Measuring the Performance of Link Layer Triggers for the Upward Vertical Handover in Heterogenous Wireless Network." In 2009 International Conference on Wireless Networks and Information Systems (WNIS). IEEE, 2009. http://dx.doi.org/10.1109/wnis.2009.87.

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Reports on the topic "Heterogenous information network"

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Milner, Stuart, Christopher C. Davis, Zygmunt J. Haas, and P. R. Kumar. Quantifying and Assuring Information Transfer in Dynamic Heterogeneous Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada577180.

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Chakravarthy, S., and S. Varakala. Facilitating Intelligent Sharing of Information for Decision Making over Distributed Heterogeneous Network-Centric Environments. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada422606.

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