Relevant bibliographies by topics / Decentralized computing

Academic literature on the topic 'Decentralized computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Contents

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

Journal articles on the topic "Decentralized computing":

1

Kelly, Terence. "Decentralized Computing." Queue 18, no. 5 (October 31, 2020): 41–53. http://dx.doi.org/10.1145/3434571.3436964.

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Farrens, Matt. "Distributed decentralized computing." ACM Computing Surveys 28, no. 4es (December 1996): 28. http://dx.doi.org/10.1145/242224.242259.

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YAMAGUCHI, A. "Autonomous Decentralized Control in Ubiquitous Computing." IEICE Transactions on Communications E88-B, no. 12 (December 1, 2005): 4421–26. http://dx.doi.org/10.1093/ietcom/e88-b.12.4421.

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Miller, Daniel E., and Edward J. Davison. "On Computing Quotient Decentralized Fixed Modes." IFAC Proceedings Volumes 44, no. 1 (January 2011): 2546–51. http://dx.doi.org/10.3182/20110828-6-it-1002.03142.

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Chen, Xu. "Decentralized Computation Offloading Game for Mobile Cloud Computing." IEEE Transactions on Parallel and Distributed Systems 26, no. 4 (April 1, 2015): 974–83. http://dx.doi.org/10.1109/tpds.2014.2316834.

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Aral, Atakan, and Tolga Ovatman. "A Decentralized Replica Placement Algorithm for Edge Computing." IEEE Transactions on Network and Service Management 15, no. 2 (June 2018): 516–29. http://dx.doi.org/10.1109/tnsm.2017.2788945.

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Kamath, Goutham, Lei Shi, Edmond Chow, Wenzhan Song, and Junjie Yang. "Decentralized multigrid for in-situ big data computing." Tsinghua Science and Technology 20, no. 6 (December 2015): 545–59. http://dx.doi.org/10.1109/tst.2015.7349927.

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Debe, Mazin, Khaled Salah, Muhammad Habib Ur Rehman, and Davor Svetinovic. "Blockchain-Based Decentralized Reverse Bidding in Fog Computing." IEEE Access 8 (2020): 81686–97. http://dx.doi.org/10.1109/access.2020.2991261.

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Wang, Yabin, Chenghao Guo, and Jin Yu. "Immune Scheduling Network Based Method for Task Scheduling in Decentralized Fog Computing." Wireless Communications and Mobile Computing 2018 (September 2, 2018): 1–8. http://dx.doi.org/10.1155/2018/2734219.

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Fog computing has changed the distributed computing rapidly by including the smart devices widely distributed at the network edges. It is able to provide less latency and is more capable of decreasing traffic jam in the network. However, it will bring more difficulties for resource managing and task scheduling especially in a decentralized ad hoc network. In this paper, we propose a method that takes advantages of the immune mechanism to schedule tasks in a decentralized way for fog computing. By using forward propagation and backward propagation in the ad hoc network, the power of distributed schedulers is used to generate the optimized scheduler strategies to deal with computing nodes overloaded and achieve the optimal task finishing time reducing. The experiment results show that our approach can beat similar methods.
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Vaidya, Chandu. "Statistical Approach for Load Distribution in Decentralized Cloud Computing." HELIX 8, no. 5 (August 31, 2018): 3884–87. http://dx.doi.org/10.29042/2018-3884-3887.

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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Decentralized computing":

1

Josilo, Sladana. "Decentralized Algorithms for Resource Allocation in Mobile Cloud Computing Systems." Licentiate thesis, KTH, Nätverk och systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-228084.

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The rapid increase in the number of mobile devices has been followed by an increase in the capabilities of mobile devices, such as the computational power, memory and battery capacity. Yet, the computational resources of individual mobile devices are still insufficient for various delay sensitive and computationally intensive applications. These emerging applications could be supported by mobile cloud computing, which allows using external computational resources. Mobile cloud computing does not only improve the users’ perceived performance of mobile applications, but it also may reduce the energy consumption of mobile devices, and thus it may extend their battery life. However, the overall performance of mobile cloud computing systems is determined by the efficiency of allocating communication and computational resources. The work in this thesis proposes decentralized algorithms for allocating these two resources in mobile cloud computing systems. In the first part of the thesis, we consider the resource allocation problem in a mobile cloud computing system that allows mobile users to use cloud computational resources and the resources of each other. We consider that each mobile device aims at minimizing its perceived response time, and we develop a game theoretical model of the problem. Based on the game theoretical model, we propose an efficient decentralized algorithm that relies on average system parameters, and we show that the proposed algorithm could be a promising solution for coordinating multiple mobile devices. In the second part of the thesis, we consider the resource allocation problem in a mobile cloud computing system that consists of multiple wireless links and a cloud server. We model the problem as a strategic game, in which each mobile device aims at minimizing a combination of its response time and energy consumption for performing the computation. We prove the existence of equilibrium allocations of mobile cloud resources, and we use game theoretical tools for designing polynomial time decentralized algorithms with a bounded approximation ratio. We then consider the problem of allocating communication and computational resources over time slots, and we show that equilibrium allocations still exist. Furthermore, we analyze the structure of equilibrium allocations, and we show that the proposed decentralized algorithm for computing equilibria achieves good system performance. By providing constructive equilibrium existence proofs, the results in this thesis provide low complexity decentralized algorithms for allocating mobile cloud resources for various mobile cloud computing architectures.

-the webinar ID on Zoom: 670-3514-7251,  - the registration URL​: https://kth-se.zoom.us/webinar/register/WN_EQCltecySbSMoEQiRztIZg​

QC 20180518

2

Ferreira, Heitor José Simões Baptista. "4Sensing - decentralized processing for participatory sensing data." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/5091.

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Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática.
Participatory sensing is a new application paradigm, stemming from both technical and social drives, which is currently gaining momentum as a research domain. It leverages the growing adoption of mobile phones equipped with sensors, such as camera, GPS and accelerometer, enabling users to collect and aggregate data, covering a wide area without incurring in the costs associated with a large-scale sensor network. Related research in participatory sensing usually proposes an architecture based on a centralized back-end. Centralized solutions raise a set of issues. On one side, there is the implications of having a centralized repository hosting privacy sensitive information. On the other side, this centralized model has financial costs that can discourage grassroots initiatives. This dissertation focuses on the data management aspects of a decentralized infrastructure for the support of participatory sensing applications, leveraging the body of work on participatory sensing and related areas, such as wireless and internet-wide sensor networks, peer-to-peer data management and stream processing. It proposes a framework covering a common set of data management requirements - from data acquisition, to processing, storage and querying - with the goal of lowering the barrier for the development and deployment of applications. Alternative architectural approaches - RTree, QTree and NTree - are proposed and evaluated experimentally in the context of a case-study application - SpeedSense - supporting the monitoring and prediction of traffic conditions, through the collection of speed and location samples in an urban setting, using GPS equipped mobile phones.
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Bicak, Mesude. "Agent-based modelling of decentralized ant behaviour using high performance computing." Thesis, University of Sheffield, 2011. http://etheses.whiterose.ac.uk/1392/.

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Ant colonies are complex biological systems that respond to changing conditions in nature by solving dynamic problems. Their ability of decentralized decision-making and their self-organized trail systems have inspired computer scientists since 1990s, and consequently initiated a class of heuristic search algorithms, known as ant colony optimization (ACO) algorithms. These have proven to be very effective in solving combinatorial optimisation problems, especially in the field of telecommunication. The major challenge in social insect research is understanding how colony-level behaviour emerges from individual interactions. Models to date focus on simple pheromone usage with mathematically devised behaviour, which deviates largely from the real ant behaviour. Furthermore, simulating large-scale behaviour at the individual level is a difficult computational challenge; hence models fail to simulate realistic colony sizes and dimensions for foraging environments. In this thesis, FLAME, an agent-based modelling (ABM) framework capable of producing parallelisable models, was used as the modelling platform and simulations were performed on a High Performance Computing (HPC) grid. This enabled large-scale simulations of complex models to be run in parallel on a grid, without compromising on the time taken to attain results. Furthermore, the advanced features of the framework, such as dynamic creation of agents during a simulation, provided realistic grounds for modelling pheromones and the environment. ABM approach through FLAME was utilized to improve existing models of the Pharaoh's ants (Monomorium pharaonis) focusing on their foraging strategies. Based on related biological research, a number of hypotheses were further tested, which were: (i) the ability of the specialist ‘U-turner' ants in trail maintenance, (ii) the trail choices performed at bifurcations, and (iii) the ability of ants to deposit increased concentrations of pheromones based on food quality. Heterogeneous colonies with 7% U-turner ant agents were further shown to perform significantly better in foraging compared to homogeneous colonies. Furthermore, laying pheromones with a higher intensity based on food quality was shown to be beneficial for the Pharaoh's ant colonies in switching to more rewarding trails. The movement of the Pharaoh's ants in unexplored areas (without pheromones) was also investigated by conducting biological experiments. Video tracking was used to extract movement vectors from the recordings of experiments and the data obtained was subject to statistical analysis in order to devise parameters for ant movement in the models developed. Overall, this research makes contributions to biology and computer science research by: (i) utilizing ABM and HPC via FLAME to reduce technological challenges, (ii) further validating existing hypotheses through realistic models, (iii) developing a video tracking system to acquire experimental data, and (iv) discussing potential applications to emergent telecommunication and networking problems.
4

Wilson, Dany. "Architecture for a Fully Decentralized Peer-to-Peer Collaborative Computing Platform." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32790.

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We present an architecture for a fully decentralized peer-to-peer collaborative computing platform, offering services similar to Cloud Service Provider’s Platform-as-a-Service (PaaS) model, using volunteered resources rather than dedicated resources. This thesis is motivated by three research questions: (1) Is it possible to build a peer-to-peer col- laborative system using a fully decentralized infrastructure relying only on volunteered resources?, (2) How can light virtualization be used to mitigate the complexity inherent to the volunteered resources?, and (3) What are the minimal requirements for a computing platform similar to the PaaS cloud computing platform? We propose an architecture composed of three layers: the Network layer, the Virtual layer, and the Application layer. We also propose to use light virtualization technologies, or containers, to provide a uniform abstraction of the contributing resources and to isolate the host environment from the contributed environment. Then, we propose a minimal API specification for this computing platform, which is also applicable to PaaS computing platforms. The findings of this thesis corroborate the hypothesis that peer-to-peer collaborative systems can be used as a basis for developing volunteer cloud computing infrastructures. We outline the implications of using light virtualization as an integral virtualization primitive in public distributed computing platform. Finally, this thesis lays out a starting point for most volunteer cloud computing infrastructure development effort, because it circumscribes the essential requirements and presents solutions to mitigate the complexities inherent to this paradigm.
5

Tkachuk, Roman-Valentyn. "Towards Decentralized Orchestration of Next-generation Cloud Infrastructures." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21345.

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Cloud Computing helps to efficiently utilize the abundance of computing resources in large data centers. It enables interested parties to deploy their services in data centers while the hardware infrastructure is maintained by the cloud provider. Cloud computing is interesting in particular as it enables automation of service deployment and management processes. However, the more complex the service structure becomes, the more complex deployment and management automation of all its parts can become. To this end, the concept of service orchestration is introduced to streamline service deployment and management processes. Orchestration enables the definition and execution of complex automation workflows targeted to provision computing infrastructure, deploy needed service features, and provide management support. In particular, the orchestration process enables the deployment and enforcement of security and compliance mechanisms in the context of systems where sensitive data is being processed.  This thesis investigates the orchestration process as a uniform approach to deploy and manage network services and required security and compliance mechanisms. To this end, we investigate different use-cases where the orchestration process is applied to address specific requirements towards security and compliance. This thesis includes two parts. In the first part, we focus on centralized orchestration mechanisms, where all activities are performed from one trusted server. We explore the use-cases of a security testbed and collaborative AI engineering and investigate the advantages and limitations of orchestration mechanisms application in their context. In the second part, we shift towards the investigation of decentralized orchestration mechanisms. We employ blockchain technology as the main decentralization mechanism, exploring the advantages and limitations of its application in the context of digital marketplaces. We demonstrate that the shift towards blockchain-enabled orchestration enables the deployment and management of decentralized security mechanisms, ensuring compliant behavior of digital marketplace actors.
6

Barker, James W. "A Low-Cost, Decentralized Distributed Computing Architecture for an Autonomous User Environment." NSUWorks, 1998. http://nsuworks.nova.edu/gscis_etd/402.

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The focus of this research was the individual or small organization. These organizations include small businesses, community groups, K-12 schools or community colleges, local government, and the individual user, as well as many others. In this work, all of these organizations as well as the individual user were collectively referred to as users. The common element shared by each of these users was that they each have legitimate purposes for access to Internet services or each provides a service or services that could be enhanced if distributed via the connectivity provided by the Internet. However, the costs of establishing a conventional Internet server and the associated connectivity are prohibitive to such small-scale organizations. The objectives of this research were to: Establish a definition of a low-cost decentralized distributed computing environment for Intel-based personal computers that will provide users the capability to access the full spectrum of Internet services while enabling them with the ability to retain control of their computing environment. Develop a replication process to replicate and distribute the defined environment in a modular form so as to facilitate installation on a target system. Conduct testing and evaluation of the architecture and replication process to validate its ease of configuration and installation, and compliance with the requirements to provide users the capability to access the full spectrum of Internet services while retaining complete control of their computing environment. This was accomplished in three phases: (a) Phase I - Define an objective architecture, (b) Phase II - Develop a technique for replicating and distributing the architecture, and (c) Phase III - Test and validate the architecture and the replication and distribution processes. Definition of the objective architecture was accomplished through development of a prototype system that successfully demonstrated all of the characteristics required by the objectives of this research. Following the definition of the architecture on the prototype system, development of a technique for replicating and distributing the architecture was undertaken. This was accomplished by developing a group of programs that configured a system to the needs of a target user, captured that configured system on a removable medium, and restored that configured system on the target hardware. Finally the architecture, as well as its replication and distribution processes were evaluated for validity using statistical analysis of data collected from test subjects acting as users. All of these tasks were accomplished within the Linux Operating System environment using only software tools developed by the researcher or tools that are a native component of Linux. The first objective of this research was satisfied by the researcher's selection of Linux and its suite of associated applications as the operating system that would host the solution system. The second objective of this research was accomplished by the researcher's development of a suite of software tools that replicated the configured environment, moved the replication to an appropriate media and restored the environment on a target system. Inviting a group of Linux users to use the tools and provide feedback via a survey satisfied the third objective of this research. It was concluded that the three objectives of this research and therefore the overall goal of this research were accomplished. In each measured evaluation of the architecture, procedures and programs developed by the researcher, the resulting data were plotted in the advanced area or the area tending toward the advanced level of maturity as defined by the Boloix and Robillard (1995) evaluation scale. In a like manner the resulting data were plotted in the exceptionally compliant range or higher on the normal distribution curve survey scale. The trend of results was consistently at the advanced level of maturity on the Boloix and Robillard (1995) evaluation scale or in the exceptionally compliant range of the normal distribution curve survey scale. The researcher found that the results of testing the defined architecture and replication process revealed users are able to quickly implement a fully configured Linux system with all the capabilities defined in the architecture. This resulting Linux system provided a low cost, decentralized, distributed computing environment for Intel-based personal computers that enabled users to access the full spectrum of Internet services while maintaining control of their computing environment. By accomplishing this objective the researcher's Linux system can provide fiscally constrained individuals or small organizations full access to Internet services without the high costs of establishing a conventional Internet server and associated connectivity, prohibitive to a small-scale organization.
7

Tordsson, Johan. "Decentralized resource brokering for heterogeneous grid environments." Licentiate thesis, Umeå : Department of Computing Science, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-966.

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Agarwal, Radhika. "DRAP: A Decentralized Public Resourced Cloudlet for Ad-Hoc Networks." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30682.

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Handheld devices are becoming increasingly common, and they have varied range of resources. Mobile Cloud Computing (MCC) allows resource constrained devices to offload computation and use storage capacities of more resourceful surrogate machines. This enables creation of new and interesting applications for all devices. We propose a scheme that constructs a high-performance de-centralized system by a group of volunteer mobile devices which come together to form a resourceful unit (cloudlet). The idea is to design a model to operate as a public-resource between mobile devices in close geographical proximity. This cloudlet can provide larger storage capability and can be used as a computational resource by other devices in the network. The system needs to watch the movement of the participating nodes and restructure the topology if some nodes that are providing support to the cloudlet fail or move out of the network. In this work, we discuss the need of the system, our goals and design issues in building a scalable and reconfigurable system. We achieve this by leveraging the concept of virtual dominating set to create an overlay in the broads of the network and distribute the responsibilities in hosting a cloudlet server. We propose an architecture for such a system and develop algorithms that are requited for its operation. We map the resources available in the network by first scoring each device individually, and then gathering these scores to determine suitable candidate cloudlet nodes. We have simulated cloudlet functionalities for several scenarios and show that our approach is viable alternative for many applications such as sharing GPS, crowd sourcing, natural language processing, etc.
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Wang, Mianyu Kam Moshe Kandasamy Nagarajan. "A decentralized control and optimization framework for autonomic performance management of web-server systems /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/2643.

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Ariyattu, Resmi. "Towards federated social infrastructures for plug-based decentralized social networks." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S031/document.

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Dans cette thèse, nous abordons deux problèmes soulevés par les systèmes distribués décentralisés - le placement de réseaux logiques de façon compatible avec le réseau physique sous-jacent et la construction de cohortes d'éditeurs pour dans les systèmes d'édition collaborative. Bien que les réseaux logiques (overlay networks) été largement étudiés, la plupart des systèmes existant ne prennent pas ou prennent mal en compte la topologie du réseau physique sous-jacent, alors que la performance de ces systèmes dépend dans une grande mesure de la manière dont leur topologie logique exploite la localité présente dans le réseau physique sur lequel ils s'exécutent. Pour résoudre ce problème, nous proposons dans cette thèse Fluidify, un mécanisme décentralisé pour le déploiement d'un réseau logique sur une infrastructure physique qui cherche à maximiser la localité du déploiement. Fluidify utilise une stratégie double qui exploite à la fois les liaisons logiques d'un réseau applicatif et la topologie physique de son réseau sous-jacent pour aligner progressivement l'une avec l'autre. Le protocole résultant est générique, efficace, évolutif et peut améliorer considérablement les performances de l'ensemble. La deuxième question que nous abordons traite des plates-formes d'édition collaborative. Ces plates-formes permettent à plusieurs utilisateurs distants de contribuer simultanément au même document. Seuls un nombre limité d'utilisateurs simultanés peuvent être pris en charge par les éditeurs actuellement déployés. Un certain nombre de solutions pair-à-pair ont donc été proposées pour supprimer cette limitation et permettre à un grand nombre d'utilisateurs de collaborer sur un même document sans aucune coordination centrale. Ces plates-formes supposent cependant que tous les utilisateurs d'un système éditent le même jeu de document, ce qui est peu vraisemblable. Pour ouvrir la voie à des systèmes plus flexibles, nous présentons, Filament, un protocole décentralisé de construction de cohorte adapté aux besoins des grands éditeurs collaboratifs. Filament élimine la nécessité de toute table de hachage distribuée (DHT) intermédiaire et permet aux utilisateurs travaillant sur le même document de se retrouver d'une manière rapide, efficace et robuste en générant un champ de routage adaptatif autour d'eux-mêmes. L'architecture de Filament repose sur un ensemble de réseaux logiques auto-organisées qui exploitent les similarités entre jeux de documents édités par les utilisateurs. Le protocole résultant est efficace, évolutif et fournit des propriétés bénéfiques d'équilibrage de charge sur les pairs impliqués
In this thesis, we address two issues in the area of decentralized distributed systems: network-aware overlays and collaborative editing. Even though network overlays have been extensively studied, most solutions either ignores the underlying physical network topology, or uses mechanisms that are specific to a given platform or applications. This is problematic, as the performance of an overlay network strongly depends on the way its logical topology exploits the underlying physical network. To address this problem, we propose Fluidify, a decentralized mechanism for deploying an overlay network on top of a physical infrastructure while maximizing network locality. Fluidify uses a dual strategy that exploits both the logical links of an overlay and the physical topology of its underlying network to progressively align one with the other. The resulting protocol is generic, efficient, scalable and can substantially improve network overheads and latency in overlay based systems. The second issue that we address focuses on collaborative editing platforms. Distributed collaborative editors allow several remote users to contribute concurrently to the same document. Only a limited number of concurrent users can be supported by the currently deployed editors. A number of peer-to-peer solutions have therefore been proposed to remove this limitation and allow a large number of users to work collaboratively. These decentralized solution assume however that all users are editing the same set of documents, which is unlikely to be the case. To open the path towards more flexible decentralized collaborative editors, we present Filament, a decentralized cohort-construction protocol adapted to the needs of large-scale collaborative editors. Filament eliminates the need for any intermediate DHT, and allows nodes editing the same document to find each other in a rapid, efficient and robust manner by generating an adaptive routing field around themselves. Filament's architecture hinges around a set of collaborating self-organizing overlays that utilizes the semantic relations between peers. The resulting protocol is efficient, scalable and provides beneficial load-balancing properties over the involved peers
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Books on the topic "Decentralized computing":

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Duckham, Matt. Decentralized Spatial Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6.

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Duckham, Matt. Decentralized Spatial Computing: Foundations of Geosensor Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Viterbo, José. Decentralized Reasoning in Ambient Intelligence. London: Springer London, 2012.

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International Symposium on Autonomous Decentralized Systems (5th 2001 Dallas, Tex.). Fifth International Symposium on Autonomous Decentralized Systems: Proceedings : 26-28 March, 2001, Dallas, Texas. Los Alamitos, Calif: IEEE Computer Society, 2001.

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International Symposium on Autonomous Decentralized Systems (1st 1993 Kawasaki-shi, Japan). ISADS 93, International Symposium on Autonomous Decentralized Systems, March 30-April 1, 1993, Kawasaki, Japan: Proceedings. Los Alamitos, Calif: IEEE Computer Society Press, 1993.

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International Symposium on Autonomous Decentralized Systems (2nd 1995 Phoenix, Ariz.). ISADS 95, Second International Symposium on Autonomous Decentralized Systems: Proceedings, April 25-27, 1995, Phoenix, Arizona, USA. Los Alamitos, Calif: IEEE Computer Society Press, 1995.

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International Symposium on Autonomous Decentralized Systems (3rd 1997 Berlin, Germany). ISADS 97, Third International Symposium on Autonomous Decentralized Systems: Proceedings, April 9-11, 1997, Berlin, Germany. Los Alamitos, Calif: IEEE Computer Society Press, 1997.

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Babovic, Vladan. Emergence, evolution, intelligence: Hydroinformatics : a study of distributed and decentralised computing using intelligent agents. Rotterdam: A.A. Balkema, 1996.

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Decentralized Spatial Computing. Springer, 2012.

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Sahay, Sundeep, T. Sundararaman, and Jørn Braa. Decentralized Information Use. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198758778.003.0005.

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This chapter seeks to explore the challenge and opportunities that cloud computing and big data offer to strengthen public health informatics in LMICs. Cloud computing is slowly becoming a norm, almost representing a technical and social order which we do not fully understand, but need to accept. While there is a multiplicity of understandings associated with the cloud, we often focus only on its technical elements, while ignoring the business model that underlies it. This incomplete understanding may lead to LMICs making investments in solutions which are unsustainable, while also creating new challenges and demands for capacity. The cloud also raises key dilemmas around participation, decentralization, and ownership of data. Developments in big data, necessarily dependent on the cloud, are another source of challenges and opportunities for LMICs. Whether we like it or not, cloud computing and big data are integral elements to develop the Expanded PHI perspective, and we need to find appropriate approaches to do so.
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Book chapters on the topic "Decentralized computing":

1

Duckham, Matt. "When Computing Happens Somewhere." In Decentralized Spatial Computing, 3–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_1.

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Duckham, Matt. "Formal Foundations." In Decentralized Spatial Computing, 33–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_2.

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Duckham, Matt. "Algorithmic Foundations." In Decentralized Spatial Computing, 57–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_3.

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Duckham, Matt. "Neighborhood-Based Algorithms." In Decentralized Spatial Computing, 85–128. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_4.

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Duckham, Matt. "Location-Based Algorithms." In Decentralized Spatial Computing, 129–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_5.

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Duckham, Matt. "Monitoring Spatial Change over Time." In Decentralized Spatial Computing, 169–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_6.

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Duckham, Matt. "Simulating Scalable Decentralized Spatial Algorithms." In Decentralized Spatial Computing, 209–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_7.

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Duckham, Matt. "Simulating Robust Decentralized Spatial Algorithms." In Decentralized Spatial Computing, 245–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_8.

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Duckham, Matt. "Further Topics and Technologies." In Decentralized Spatial Computing, 275–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6_9.

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Wright, Craig S. "Decentralized Autonomous Corporations." In Advances in Intelligent Systems and Computing, 153–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9343-4_14.

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Conference papers on the topic "Decentralized computing":

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Kephart, Jeffrey O. "Engineering decentralized autonomic computing systems." In Proceeding of the second international workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1809036.1809038.

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Alp, Enis Ceyhun, Eleftherios Kokoris-Kogias, Georgia Fragkouli, and Bryan Ford. "Rethinking General-Purpose Decentralized Computing." In HotOS '19: Workshop on Hot Topics in Operating Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3317550.3321448.

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Gheorghe, Alin-Gabriel, Constantin-Cosmin Crecana, Catalin Negru, Florin Pop, and Ciprian Dobre. "Decentralized Storage System for Edge Computing." In 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC). IEEE, 2019. http://dx.doi.org/10.1109/ispdc.2019.00009.

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Bridges, Christopher P., and Tanya Vladimirova. "Agent computing applications in distributed satellite systems." In 2009 International Symposium on Autonomous Decentralized Systems (ISADS). IEEE, 2009. http://dx.doi.org/10.1109/isads.2009.5207326.

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Costa, Paolo, Jeff Napper, Guillaume Pierre, and Maarten van Steen. "Autonomous Resource Selection for Decentralized Utility Computing." In 2009 29th IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE, 2009. http://dx.doi.org/10.1109/icdcs.2009.70.

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Siebert, Joanna Izabela, Jiannong Cao, Long Cheng, Edwin Wei, Canfeng Chen, and Jian Ma. "Decentralized service composition in pervasive computing environments." In the 6th International Wireless Communications and Mobile Computing Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1815396.1815684.

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Domingo-Ferrer, Josep, Alberto Blanco-Justicia, David Sanchez, and Najeeb Jebreel. "Co-Utile Peer-to-Peer Decentralized Computing." In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE, 2020. http://dx.doi.org/10.1109/ccgrid49817.2020.00-90.

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D'Angelo, Mirko. "Decentralized self-adaptive computing at the edge." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3194133.3194160.

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Steglich, S. "Cooperating objects for ubiquitous computing." In Proceedings. ISADS 2005. 2005 International Symposium on Autonomous Decentralized Systems. IEEE, 2005. http://dx.doi.org/10.1109/isads.2005.1452029.

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Motamedvaziri, Delaram, Venkatesh Saligrama, and David Castanon. "Decentralized compressive sensing." In 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2010. http://dx.doi.org/10.1109/allerton.2010.5706963.

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Reports on the topic "Decentralized computing":

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Northcutt, J. D., E. D. Jensen, Edward J. Burke, Raymond K. Clark, and James G. Hanko. Decentralized Computing Technology for Fault-Tolerant, Survivable C3I systems. Volume 1. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada232289.

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