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Betfunding: A distributed Bounty-Based Crowdfunding Platform over Ethereum 13th

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13th international conference on distributed computing and Artificial Intelligence (DCAI)

作者： Jacynycz, Viktor Calvo, Adrian Hassan, Samer Sanchez-Ruiz, Antonio A. Univ Complutense Madrid Madrid Spain Harvard Univ Berkman Ctr Internet & Soc Cambridge MA 02138 USA

ISBN: (纸本)9783319401621;9783319401614

Blockchain, the technology behind Bitcoin, is a permissionless distributed database which allows distributed storage and computation over a large network of nodes. this technology has been applied recently to many other fields besides e-currencies (Bitcoin 2.0 projects). In this paper we present Betfunding: a blockchain-based decentralized crowdfunding platform. On the contrary of regular crowdfunding platforms, our system does not require a central and reliable organization. In Betfutding users bet whether the project will or will not be implemented in a given time frame, increasing the bounty and incentive for potential developers to carry it out.

关键词： Bitcoin Blockchain Bounty Crowdfunding Cryptocurrencies distributed software Ethereum P2P Smart contract

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An adaptive load balancing approach in distributed computing using genetic theory

引用

5th international conference on Parallel and distributed computing

作者： Lee, S Lee, D Lee, W Cho, H Cheonan Univ Div Informat & Commun Engn Chungnam South Korea WooSong Univ Dept Comp Engn Taejon South Korea Jeonju Univ Sch Informat Technol & Engn Chonbuk South Korea

ISBN: (纸本)3540240136

In sender-initiated load balancing algorithms, the sender continues to send unnecessary request messages for load transfer until a receiver is found while the system load is heavy. Meanwhile, in the receiver-initiated load balancing algorithms, the receiver continues to send an unnecessary request message for load acquisition until a sender is found while the system load is low. these unnecessary request messages result in inefficient communications, low CPU utilization, and low system throughput in distributed systems. To solve these problems, we propose a genetic based approach for improved sender-initiated and receiver-initiated load balancing in distributed systems.

关键词： distributed computer systems

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Decentralized resource availability prediction for a desktop grid 10

Decentralized resource availability prediction for a desktop...

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10th ieee/ACM international Symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： Ramachandran, Karthick Lutfiyya, Hanan Perry, Mark Department of Computer Science University of Western Ontario London ON Canada

ISBN: (纸本)9781424469871

In a desktop grid model, the job (computational task) is submitted for execution in the resource only when the resource is idle. there is no guarantee that the job which has started to execute in a resource will complete its execution without any disruption from user activity (such as a keyboard stroke or mouse move) if the desktop machines are used for other purposes. this problem becomes more challenging in a Peer-to-Peer (P2P) model for a desktop grid where there is no central server that decides to allocate a job to a particular resource. this paper describes a P2P desktop grid framework that utilizes resource availability prediction. We improve the functionality of the system by submitting the jobs on machines that have a higher probability of being available at a given time. We benchmark our framework and provide an analysis of our results. © 2010 ieee.

关键词： cloud computing

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Decision Model for Identity Management Product Selection Using Fuzzy AHP 18

Decision Model for Identity Management Product Selection Usi...

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18th ieee/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing (SNPD)

作者： Noradachanon, Noraset Senivongse, Twittie Chulalongkorn Univ Fac Engn Dept Comp Engn Software Engn Program Bangkok Thailand

ISBN: (纸本)9781509055043

Identity management (IDM) refers to a security discipline that employs technologies to manage information about the identity of users and control their access to organization resources. Various IDM products are in the market to offer corporate customers productivity and security while lowering costs of identity management. System integrators who implement the IDM solutions for their corporate customers often face problems when choosing the right IDM products for integrating with the customers' enterprise systems. this paper proposes a decision model for IDM product selection which is used in evaluating and ranking IDM products based on the proposed customer requirements questionnaire. the model is comprehensive in that its decision criteria comprise not only the technical specifications of the products but also other important aspects including price and accountability of system integrators and product vendors. Based on the decision model, product selection is conducted using a multi-criteria decision making technique called fuzzy analytic hierarchy process (fuzzy AHP). In an evaluation, a leading system integrator company in thailand applies the proposed approach to IDM product selection for its customer and the result is quite satisfactory.

关键词： identity management multi-criteria decision making analytic hierarchy process fuzzy set

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Discrete Geometric Coded Data Layout for Large-scale Object Storage systems 21

Discrete Geometric Coded Data Layout for Large-scale Object ...

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21st ieee international Symposium on Parallel and distributed Processing with Applications, 13th ieee international conference on Big Data and Cloud computing, 16th ieee international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Tian, Yi Xu, Guangping Yang, Hongzhang Ni, Yue Cao, JiaXin Yang, Lei Tianjin University of Technology School of Computer Science and Engineering Tianjin China Novel Software Technology Tianjin Key Laboratory of Intelligence Computing Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China Information Technology Co. Ltd. China

ISBN: (纸本)9798350329223

Regenerating codes are new network codes proposed to reduce the data required for fault repair, which can improve the recovery efficiency of faulty nodes in data storage systems. However, unlike Reed-Solomon code, which repairs at the granularity of bytes, regenerating codes require data stored in large chunks but leads to severe read amplification, which reads out excess data when degraded read objects and increases degraded read time. that reflects a mutual constraint between improving recovery efficiency and degraded read performance, as manifested in the amplification of data reads, a vital issue considered in this *** solve this problem, we propose a new type of data layout - discrete geometric, which splits the object into a series of geometric sequences of data blocks. they are placed discretely into corresponding containers on the disks at different nodes, with containers of the same size made into a strip for encoding. the discrete characteristic ensures lower repair costs for degraded reads. the geometric characteristic ensures the repair performance of regenerating codes by large blocks, and read amplification can be mitigated through small blocks. To reduce IOPS for discrete geometric, we propose Discrete Geometric-Locally Regenerating Codes (DG-LRCs), guaranteeing lower degraded read latency while improving recovery *** results show that the degraded read time of DG-LRCs compared to regenerating codes combined with geometric partitioning is 22.56% lower at 2Gbpsand 60.56% lower at 4Gbps, and the recovery performance is 7.04 times better than that of RS code. © 2023 ieee.

关键词： Efficiency

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A visualized parallel network simulator for modeling large-scale distributed applications

A visualized parallel network simulator for modeling large-s...

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18th international conference on Parallel and distributed computing, Applications and Technologies, PDCAT 2007

作者： Siming, Lin Xueqi, Cheng Jianming, Lv Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate School Chinese Academy of Sciences Beijing China

ISBN: (纸本)0769530494

Large-scale distributed systems, with thousands or even millions of nodes, produce complex and dynamic behaviors. Packet-level simulation is necessary to test and analyze these systems, such as grids, peer-to-peer (P2P) applications as well as worm and DDoS containment systems. However, the current network simulators are not convenient for application layer simulation. We present the NSME, a visualized parallel simulator that allows researchers to simulate their applications in a large virtual network with most details transparent to them. A hierarchical routing is used to enhance the fidelity of simulation and reduce the memory cost of network construction. A variation of CMB algorithm is implemented for parallel synchronization. We show the functions of NSME by three applications: 1) a self-similar background traffic model, 2) a Slammer worm spreading model, and 3) a P2P live streaming system, which demonstrate its effectiveness for simulating any large-scale distributed applications. the performance tests show that the memory cost of NSME is distinctly lower than NS2 and the parallel efficiency can reach about 60% in any of the above applications. © 2007 ieee.

关键词： Peer to peer networks

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A partitioning algorithm for parallel sorting on distributed memory systems

A partitioning algorithm for parallel sorting on distributed...

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13th ieee international Workshop on FTDCS 2011, the 8th international conference on ATC 2011, the 8th international conference on UIC 2011 and the 13th ieee international conference on HPCC 2011

作者： Hofmann, Michael Runger, Gudula Department of Computer Science Chemnitz University of Technology Germany

ISBN: (纸本)9780769545387

Parallel sorting methods for distributed memory systems often use partitioning algorithms to prepare the redistribution of data items. this article proposes a partitioning algorithm that calculates a redistribution specified by the number of data items to be finally located on each process. this partitioning algorithm can also be used for data items with weights, which might express a computational load to be expected, and to produce a redistribution with an individual accumulated weight of data items specified for each process. Another important feature is that data sets with duplicated data keys can be handled. Parallel sorting with those properties is often needed for parallel scientific application codes, such as particle simulations, in which the dynamics of the simulated system may destroy locality and load balance required for an efficient computation. It is applied to random sample data and to a particle simulation code requiring a sorting. Performance results have been obtained on an IBM Blue Gene/P platform with up to 32768 cores. the results show that the proposed parallel sorting method performs well in comparison to other existing algorithms. © 2011 ieee.

关键词： Sorting

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FCAN: A structured P2P system based on content query

FCAN: A structured P2P system based on content query

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5th international conference on Grid and Cooperative computing (GCC 2006)

作者： Wang, Jing Yang, Shoubao Gao, Ying Guo, Leitao Univ Sci & Technol China Dept Comp Sci Hefei Peoples R China

ISBN: (纸本)9780769526942

the existing DHT-based file storage systems are suffering problems of being restricted to exact match and lacking semantic-based query. To solve these problems, a DHT-based file storage system named FCAN is proposed. Mapping a document vector from semantic space to P2P space by FastMap, FCAN can effectively reduce the dimensions of it to implement semantic-based query without affecting the semantic integrality of this document. By clustering the nearest neighbors based on centroid, FCAN is further improved to reduce the redundant messages and search time. Simulations show that FCAN has not only higher recall and precision, but also fewer search time and redundant messages.

关键词： distributed computer systems

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User-centric distributed Route Planning in Smart Cities based on Multi-objective Optimization 7

User-centric Distributed Route Planning in Smart Cities base...

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7th ieee international conference on Smart computing (SMARTCOMP)

作者： Tiausas, Francis Talusan, Jose Paolo Ishimaki, Yu Yamana, Hayato Yamaguchi, Hirozumi Bhattacharjee, Shameek Dubey, Abhishek Yasumoto, Keiichi Das, Sajal K. NAIST Nara Japan Waseda Univ Tokyo Japan Osaka Univ Osaka Japan Western Michigan Univ Kalamazoo MI 49008 USA Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA Missouri Univ Sci & Technol Rolla MO 65409 USA

ISBN: (纸本)9781665412520

the realization of edge-based cyber-physical systems (CPS) poses important challenges in terms of performance, robustness, security, etc. this paper examines a novel approach to providing a user-centric adaptive route planning service over a network of Road Side Units (RSUs) in smart cities. the key idea is to adaptively select routing task parameters such as privacy-cloaked area sizes and number of retained intersections to balance processing time, privacy protection level, and route accuracy for privacy-augmented distributed route search while also handling per-query user preferences. this is formulated as an optimization problem with a set of parameters giving the best result for a set of queries given system constraints. Processing throughput, Privacy Protection, and Travel Time Accuracy were developed as the objective functions to be balanced. A Multi-Objective Genetic Algorithm based technique (NSGA-II) is applied to recover a feasible solution. the performance of this approach was then evaluated using traffic data from Osaka, Japan. Results show good performance of the approach in balancing the aforementioned objectives based on user preferences.

关键词： Smart cities distributed route planning Multi-objective Optimization NSGA-II Edge computing

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Evaluating the Effect of Inter Process Communication Efficiency on High Performance distributed Scientific computing

Evaluating the Effect of Inter Process Communication Efficie...

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5th international conference on Embedded and Ubiquitous computing

作者： Khaneghah, Ehsan Mousavi Mirtaheri, Seyedeh Leili Sharifi, Mohsen Iran Univ Sci & Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9780769534923

Scientific applications like weather forecasting require high performance and fast response time. But this ideal requirement has always been constrained by peculiarities of underlying platforms specially, distributed platforms. One such constraint is the efficiency of communication between geographically dispersed and physically distributed processes running these applications, that is the efficiency, of inter process communication (IPC) mechanisms. this paper provides hard evidence that an operating system kernel-level implementation of IPC on multicomputers reduces the execution time of a weather forecasting model by nearly half on average compared to when the IPC mechanism is implemented at library level. A well known nonhydrostatic version of the Penn State/NCAR Mesoscale Model, called MM5, is executed on a networked cluster. the performance of MM5 is measured with two distributed implementations of IPC, a kernel-level implementation called DIPC2006 and a renowned library, level implementation called MPI. It is both shown how and argued why the performance of MM5 on a DIPC2006 configured cluster is by far better than its performance on an MPI configured similar cluster. Even ignoring the favorable points of kernel-level implementations, like safety, privilege, reliability, and primitiveness, the insight is twofold. Scientist may look for more efficient distributed implementations of IPC to run their simulations faster, and computer engineers may try harder to develop more efficient distributed implementations of IPC for scientists.

关键词： High Performance Scientific computing distributed Inter Process Communication distributed systems Operating System Kernel Mesoscale Weather Forecasting Model

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