Relevant bibliographies by topics / Geo-distributed system

Contents

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

Academic literature on the topic 'Geo-distributed system'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Geo-distributed system"

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Oh, Kwangsung, Nan Qin, Abhishek Chandra, and Jon Weissman. "Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System." IEEE Transactions on Parallel and Distributed Systems 31, no. 2 (2020): 294–305. http://dx.doi.org/10.1109/tpds.2019.2935727.

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Hildred, Joshua, Michael Abebe, and Khuzaima Daudjee. "Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems." Proceedings of the VLDB Endowment 17, no. 3 (2023): 469–82. http://dx.doi.org/10.14778/3632093.3632109.

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Distributed deterministic database systems achieve high transaction throughput for geographically replicated data. Supporting transactions with ACID guarantees requires deterministic databases to order transactions globally to dictate execution order. In a geographically distributed environment, ordering transactions globally can take multiple wide-area network (WAN) round trips of messaging, which adds significant latency to transaction response times, leading to poor user experiences. To improve the response time of transactions in deterministic databases, we propose an ordering protocol tha
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Zhang, Zihao, Huiqi Hu, Xuan Zhou, Yaofeng Tu, Weining Qian, and Aoying Zhou. "Fast Commitment for Geo-Distributed Transactions via Decentralized Co-Coordinators." Proceedings of the VLDB Endowment 17, no. 10 (2024): 2555–67. http://dx.doi.org/10.14778/3675034.3675046.

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In a geo-distributed database, data shards and their respective replicas are deployed in distinct datacenters across multiple regions, enabling regional-level disaster recovery and the ability to serve global users locally. However, transaction processing in geo-distributed databases requires multiple cross-region communications, especially during the commit phase, which can significantly impact system performance. To optimize the performance of geo-distributed transactions, we propose Decentralized Two-phase Commit (D2PC), a new transaction commit protocol aiming to minimize the negative impa
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Gharbia, Salem S., Laurence Gill, Paul Johnston, and Francesco Pilla. "GEO-CWB: GIS-Based Algorithms for Parametrising the Responses of Catchment Dynamic Water Balance Regarding Climate and Land Use Changes." Hydrology 7, no. 3 (2020): 39. http://dx.doi.org/10.3390/hydrology7030039.

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Parametrising the spatially distributed dynamic catchment water balance is a critical factor in studying the hydrological system responses to climate and land use changes. This study presents the development of a geographic information system (GIS)-based set of algorithms (geographical spatially distributed water balance model (GEO-CWB)), which is developed from integrating physical, statistical, and machine learning models. The GEO-CWB tool has been developed to simulate and predict future spatially distributed dynamic water balance using GIS environment at the catchment scale in response to
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Shi, Bin, Dan Zhang, Honghu Zhu, et al. "DFOS Applications to Geo-Engineering Monitoring." Photonic Sensors 11, no. 2 (2021): 158–86. http://dx.doi.org/10.1007/s13320-021-0620-y.

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AbstractOptical fiber sensing technology has developed rapidly since the 1980s with the development of the optical fiber and fiber optical communication technology. It is a new type of sensing technology that uses light as a carrier and optical fiber as a medium to sense and transmit external signals (measurands). Distributed fiber optical sensors (DFOS) can continuously measure the external physical parameters distributed along the geometric path of the optical fiber. Meanwhile, the spatial distribution and change information of the measured physical parameters over time can be obtained. This
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Gou, Liang, Geng Xin Zhang, Zhi Dong Xie, Zhi Ping Xu, and Hong Wei Long. "Payload-Distributed GEO Communication Satellite System and Opportunistic Network Coding Based Cooperative Information Exchange." Applied Mechanics and Materials 519-520 (February 2014): 1005–11. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1005.

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Fractionated Spacecraft is a concept which transforms a traditional monolithic spacecraft into a network of elements where a free-flying payload module is supported by nearby free-flying infrastructure modules. In this paper, we propose a novel concept named as Payload-Distributed GEO Communication Satellite System (PD-GEO) which divides the traditional GEO communication satellite into several modules. Those modules can be reconfigured, added, or exchanged independently from the others, and be reused over several missions. Then, for the purpose of reliable and high-efficient data transmission
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Satuluri, Victoria, and Ratna Babu Yellamati. "Design of Middleware and Software Embedded Development Kit For Area Based Distributed Mobile Cache System." International Journal of Electrical and Electronics Research 3, no. 3 (2015): 44–49. http://dx.doi.org/10.37391/ijeer.030301.

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Nowadays a new area-based distributed mobile cache system and a sustainable distributed Geo-cast technology enables data caching temporarily in a designated local area using short-range communication technologies such as Bluetooth and Wi-Fi. This system doesn’t need servers and infrastructure network. To enhance the short-range communications as a time-offset communication in a physical world the caching capability is needed. Due to this advantage it is sure to adopt a new location-based communication services. The proposed work is frames a developed middleware for a widespread embedded OS and
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Nguyen, Cuong D. T., Johann K. Miller, and Daniel J. Abadi. "Detock: High Performance Multi-region Transactions at Scale." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–27. http://dx.doi.org/10.1145/3589293.

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Many globally distributed data stores need to replicate data across large geographic distances. Since synchronously replicating data across such distances is slow, those systems with high consistency requirements often geo-partition data and direct all linearizable requests to the primary region of the accessed data. This significantly improves performance for workloads where most transactions access data close to where they originate from. However, supporting serializable multi-geo-partition transactions is a challenge, and they often degrade the performance of the whole system. This becomes
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Wang, Changxu, Yuanzhi He, and Chengwu Qi. "Analysis of Grating Lobe Effects on GEO DSC Distributed Antennas." Applied Sciences 13, no. 19 (2023): 10912. http://dx.doi.org/10.3390/app131910912.

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Traditional single-antenna systems have inherent limitations in terms of antenna gain, anti-interference capability, and flexibility. To overcome these challenges, satellite-mounted distributed antenna systems disperse multiple antennas at different positions on the satellite to improve the reception quality and signal-to-noise ratio of satellite signals, enhancing the performance of the satellite communication system without additional bandwidth or transmission power. However, the dispersed locations and long distances between antennas on the satellite result in less compact spacing compared
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Jahn, M. W., P. E. Bradley, M. Al Doori, and M. Breunig. "TOPOLOGICALLY CONSISTENT MODELS FOR EFFICIENT BIG GEO-SPATIO-TEMPORAL DATA DISTRIBUTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (October 23, 2017): 65–72. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-65-2017.

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Geo-spatio-temporal topology models are likely to become a key concept to check the consistency of 3D (spatial space) and 4D (spatial + temporal space) models for emerging GIS applications such as subsurface reservoir modelling or the simulation of energy and water supply of mega or smart cities. Furthermore, the data management for complex models consisting of big geo-spatial data is a challenge for GIS and geo-database research. General challenges, concepts, and techniques of big geo-spatial data management are presented. In this paper we introduce a sound mathematical approach for a topolog
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Dissertations / Theses on the topic "Geo-distributed system"

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Anderson, Paul. "GeoS: A Service for the Management of Geo-Social Information in a Distributed System." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1561.

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Applications and services that take advantage of social data usually infer social relationships using information produced only within their own context, using a greatly simplified representation of users' social data. We propose to combine social information from multiple sources into a directed and weighted social multigraph in order to enable novel socially-aware applications and services. We present GeoS, a geo-social data management service which implements a representative set of social inferences and can run on a decentralized system. We demonstrate GeoS' potential for social applicatio
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Tejankar, Vinayak Prabhakar. "Optimization of Data Propagation Algorithm for Conflict-Free Replicated Data Type-based Datastores in Geo-Distributed Edge Environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284683.

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Replication primarily provides data availability by having multiple copies over different systems and is exploited to make distributed systems scalable in num- bers and geographical areas. Placing a replica closer to the source of request can also significantly reduce the time required to service the request, improv- ing applications’ performance. However, modifications done at a single copy need to be propagated to all the standing copies to maintain the data’s consis- tency. Over the years, numerous strategies have been proposed for handling the tradeoff between consistency and availability,
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Liu, Yimei [Verfasser], Thomas Akademischer Betreuer] Wunderlich, Matthäus [Akademischer Betreuer] Schilcher, and Liqiu [Akademischer Betreuer] [Meng. "Distributed geo-services based on Wireless GIS : a case study for post-quake rescue information system / Yimei Liu. Gutachter: Thomas Wunderlich ; Matthäus Schilcher ; Liqiu Meng. Betreuer: Liqiu Meng." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1014330742/34.

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Silva, Marcel Santos [UNESP]. "Sistemas de informações geográficas: elementos para o desenvolvimento de bibliotecas digitais geográficas distribuídas." Universidade Estadual Paulista (UNESP), 2006. http://hdl.handle.net/11449/93711.

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Made available in DSpace on 2014-06-11T19:26:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2006-08-29Bitstream added on 2014-06-13T20:55:15Z : No. of bitstreams: 1 santos_ms_me_mar.pdf: 2277134 bytes, checksum: 2c1d35de92755006ed8a8f0016328bfe (MD5)<br>Universidade Estadual Paulista (UNESP)<br>O desenvolvimento de tecnologias de informação e comunicação aplicadas às informações geográficas cresce de forma considerável e torna mais visível o aumento de Sistemas de Informações Geográficas, principalmente em ambientes governamentais, que buscam disponibilizar a informação geográfica a
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Qureshi, Asfandyar. "Power-Demand Routing in massive geo-distributed systems." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62430.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 165-171).<br>There is an increasing trend toward massive, geographically distributed systems. The largest Internet companies operate hundreds of thousands of servers in multiple geographic locations, and are growing at a fast clip. A single system's servers and data centers can consume many megawatts of electricity, as much as tens of thousands of US homes. Two important concerns have arisen: risi
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Bogdanov, Kirill. "Reducing Long Tail Latencies in Geo-Distributed Systems." Licentiate thesis, KTH, Network Systems Laboratory (NS Lab), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194729.

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Computing services are highly integrated into modern society. Millions of people rely on these services daily for communication, coordination, trading, and accessing to information. To meet high demands, many popular services are implemented and deployed as geo-distributed applications on top of third party virtualized cloud providers. However, the nature of such deployment provides variable performance characteristics. To deliver high quality of service, such systems strive to adapt to ever-changing conditions by monitoring changes in state and making run-time decisions, such as choosing serv
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Falgert, Marcus. "Geo-distributed application deployment assistance based on past routing information." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-206970.

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Cloud computing platforms allow users to deploy geographically distributed applications on servers around the world. Applications may be simple to deploy on these platforms, but it is up to the user and the application to decide which regions and servers to use for application placement. Furthermore, network conditions and routing between the geo-distributed servers change over time, which can lead to sub-optimal performance of applications deployed on such servers. A user could either employ a static deployment configuration of servers, or attempt to use a more dynamic configuration. However,
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Toumlilt, Ilyas. "Colony : a Hybrid Consistency System for Highly-Available Collaborative Edge Computing." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS447.

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La distribution et la réplication des données en périphérie du réseau apportent une réponse immédiate, une autonomie et une disponibilité aux applications de périphérie, telles que les jeux, l’ingénierie coopérative ou le partage d’informations sur le terrain. Cependant, les développeurs d’applications et les utilisateurs exigent les meilleures garanties de cohérence possibles, ainsi qu’un support spécifique pour la collaboration de groupe. Pour relever ce défi, Colony garantit la cohérence Transactional Causal Plus Consistency (TCC+) à échelle planétaire, en complément de l’isolation des inst
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Vasilas, Dimitrios. "A flexible and decentralised approach to query processing for geo-distributed data systems." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS132.

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Cette thèse présente l'étude de la conception de systèmes de traitement de requêtes dans divers cadres géo-distribués. L'optimisation des mesures de performance telles que le temps de réponse, la fraîcheur ou le coût opérationnel implique des décisions de conception tel que le choix de l’état dérivé (indices, vues matérialisées, caches par ex.) à construire et maintenir, et la distribution et le placement de ces derniers et de leurs calculs. Ces métriques sont souvent opposées et les compromis dépendent de l'application et/ou de la spécificité de l'environnement. La capacité d'adapter la topol
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Silva, Marcel Santos. "Sistemas de informações geográficas : elementos para o desenvolvimento de bibliotecas digitais geográficas distribuídas /." Marília : [s.n.], 2006. http://hdl.handle.net/11449/93711.

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Orientador: Silvana Aparecida Borsetti Gregório Vidotti<br>Banca: Plácida Leopoldina Ventura Amorim da Costa Santos<br>Banca: Sérgio Antonio Rohm<br>Resumo: O desenvolvimento de tecnologias de informação e comunicação aplicadas às informações geográficas cresce de forma considerável e torna mais visível o aumento de Sistemas de Informações Geográficas, principalmente em ambientes governamentais, que buscam disponibilizar a informação geográfica a um número de pessoas cada vez maior. O objetivo deste trabalho é apresentar uma arquitetura com elementos para a construção de uma Biblioteca Digital
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Books on the topic "Geo-distributed system"

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Semantic interoperability of distributed geo-services. ITC, 2006.

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Book chapters on the topic "Geo-distributed system"

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Yu, Jiongyu, Weigang Wu, Di Yang, and Ning Huang. "MRFS: A Distributed Files System with Geo-replicated Metadata." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11194-0_21.

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Dou, Wanchun, Xiaolong Xu, and Shui Yu. "Industrial-Metadata Intelligent Service for Geo-Distributed File System." In Intelligent Industrial Internet Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5732-3_3.

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Zhang, Chi, Hui Li, Xuan An Song, Jie Cheng, and Li Jie Wang. "LoS-MIMO Channel Capacity of Distributed GEO Satellites Communication System Over the Sea." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_231.

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Nkwo, Makuochi Samuel, and Muhammad Adamu. "Trust Me, I Am an Intelligent and Autonomous System: Trustworthy AI in Africa as Distributed Concern." In Trustworthy AI. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75674-0_4.

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Abstract Over the last decade, we’ve witnessed the re-convergence of Human–computer Interaction (HCI) to emerging spaces such as artificial intelligence (AI), big data, edge computing and so on. Specific to the agentistic turn in HCI, researchers and practitioners have grappled with the central issues around AI as a research programme or a methodological instrument—from cognitive science emphasis on technical and computational cognitive systems to philosophy and ethics focus on agency, perception, interpretation, action, meaning, and understanding. Even with the proliferation of AI discourses
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Bao, Yixin, and Chuan Wu. "Geo-Distributed Big Data Analytics Systems." In Smart Data. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429507670-8.

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Sindoni, Giuseppe, and Matteo Massenzio. "An Open Data platform for decision making in local public administration." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.51.

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This paper presents the Milan Open Data (OD) platform as a means to provide statistics and data in the framework of “Data-Driven Milan”, a city where policy decisions are taken in an “informed and aware” way using data. Open Data are ever more important in providing citizen communities with useful information. Over the last 10 years, the municipality of Milan has developed its OD platform from an experimental portal to a fully-fledged portal with more than 1,600 datasets, implemented a Linked Open Data (LOD) system and 8 advanced data visualization projects, and produced OD policies and operat
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Siva Raja, P. M., and C. Sahaya Kingsley. "Energy Efficient Geo-distributed Data Center Resizing Markov Chain Model." In Lecture Notes in Networks and Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0980-0_4.

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Lin, Chuangwei, Bowen Liu, Wei Zhou, Yueyue Xu, Xuyun Zhang, and Wanchun Dou. "A Low-Latency Metadata Service for Geo-Distributed File Systems." In Web Information Systems Engineering – WISE 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90888-1_7.

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Teyeb, Hana, Nejib Ben Hadj-Alouane, and Samir Tata. "Network-Aware Stochastic Virtual Machine Placement in Geo-Distributed Data Centers." In On the Move to Meaningful Internet Systems. OTM 2017 Conferences. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69462-7_3.

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Rohini, T. V., and M. V. Ramakrishna. "Cost Optimization for Dynamic Data Migration and Re-placement with Load-Balancing in Geo-Distributed Systems." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3690-5_143.

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Conference papers on the topic "Geo-distributed system"

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Li, Haonan, Cheng Ahi, Boyuan Xiang, and Xindi Hou. "ECRMG: An Effecient and Collaborative Routing Mechanism for Geo-Distributed Machine Learning." In 2025 10th International Conference on Computer and Communication System (ICCCS). IEEE, 2025. https://doi.org/10.1109/icccs65393.2025.11069732.

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Xiang, Boyuan, Cheng Chi, Shuai Gao, Haonan Li, and Xindi Hou. "P4Com: Implementing P4-Based In-Network Data Reduction for Geo-Distributed Machine Learning." In 2025 10th International Conference on Computer and Communication System (ICCCS). IEEE, 2025. https://doi.org/10.1109/icccs65393.2025.11069944.

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Lang, Junyi, Xiaokang Zheng, Yimeng Sun, and Zhaohao Ding. "Online Job Scheduling for Energy Cost Optimization in Geo-Distributed Data Centers Considering Data Locality: A Multi-Agent Reinforcement Learning Approach." In 2024 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2024. https://doi.org/10.1109/icpsasia61913.2024.10761284.

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Acharya, Srivathsa, P. Vijay Kumar, and Viveck R. Cadambe. "On Existence of Latency Optimal Uncoded Storage Schemes in Geo-Distributed Data Storage Systems." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619184.

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Segura, Marc, Vianney Rancurel, Vinh Tao, and Marc Shapiro. "Scality's experience with a geo-distributed file system." In the Posters & Demos Session. ACM Press, 2014. http://dx.doi.org/10.1145/2678508.2678524.

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Oh, Kwangsung, Abhishek Chandra, and Jon Weissman. "A Network Cost-aware Geo-distributed Data Analytics System." In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE, 2020. http://dx.doi.org/10.1109/ccgrid49817.2020.00-28.

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Jieming Zhu, Zibin Zheng, Yangfan Zhou, and M. R. Lyu. "Scaling Service-Oriented Applications into Geo-distributed Clouds." In 2013 IEEE 7th International Symposium on Service Oriented System Engineering (SOSE 2013). IEEE, 2013. http://dx.doi.org/10.1109/sose.2013.56.

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Sumalatha, M. R., Pranab Batsa, Abhishek Sinha, and P. Shrinath. "Social media for disaster relief — Geo distributed social service system." In 2015 Seventh International Conference on Advanced Computing(ICoAC). IEEE, 2015. http://dx.doi.org/10.1109/icoac.2015.7562783.

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Maiyya, Sujaya, Ishtiyaque Ahmad, Divyakant Agrawal, and Amr El Abbadi. "Samya: A Geo-Distributed Data System for High Contention Aggregate Data." In 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, 2021. http://dx.doi.org/10.1109/icde51399.2021.00128.

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Li, Yan, Hong Zhang, Yong Wang, Xinran Liu, and Peng Zhang. "A Scheduling Framework for Periodic Tasks in Geo-Distributed Data Centers." In 2015 IEEE Symposium on Service-Oriented System Engineering (SOSE). IEEE, 2015. http://dx.doi.org/10.1109/sose.2015.29.

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