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Resource provisioning for highly reliable and ultra-responsive edge applications 8

Resource provisioning for highly reliable and ultra-responsi...

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8th IEEE international conference on Cloud networking (CloudNet)

作者： Toka, Laszlo Haja, David Korosi, Attila Sonkoly, Balazs MTA BME Network Softwarizat Res Grp Budapest Hungary MTA BME Informat Syst Res Grp Budapest Hungary Budapest Univ Technol & Econ Budapest Hungary

ISBN: (纸本)9781728148328

Edge and fog computing are emerging concepts extending traditional cloud computing by deploying compute resources closer to the users. this approach, closely integrated with carrier-networks, enables several future services, such as tactile internet, 5G and beyond telco services, and extended reality applications. the emphasis is on integration: the rigorous delay constraints, ensuring reliability on the distributed remote nodes, and the sheer scale altogether call for a powerful provisioning platform that offers the applications the best out of the underlying infrastructure. In this paper we investigate the resource provisioning problem in the edge infrastructure with the consideration of probable failures. Our goal is to support high reliability of services with the minimum amount of edge resources reserved to provide the necessary redundancy in the system. We design a resource provisioning algorithm, which takes into account network latency when pinpointing backup placeholders for virtual functions of edge applications. We implement the proposed solution in a simulation environment and show the efficient resource utilization results achieved by our fast heuristic algorithm.

关键词： edge computing high reliability ultra-low latency

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Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud 8

Quasi-optimal Data Placement for Secure Multi-tenant Data Fe...

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8th IEEE international conference on Big Data (Big Data)

作者： Kang, Qi Liu, Ji Yang, Sijia Xiong, Haoyi An, Haozhe Li, Xingjian Feng, Zhi Wang, Licheng Dou, Dejing Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China Baidu Inc Big Data Lab Beijing Peoples R China

ISBN: (纸本)9781728162515

As it is difficult to directly share data among different organizations, data federation brings new opportunities to the data-related cooperation among different organizations by providing abstract data interfaces. With the development of Cloud computing, organizations store data on the Cloud to achieve elasticity and scalability for data processing. the existing data placement approaches generally only consider one aspect, which is either communication cost or time cost, and do not consider the features of jobs that process the data. In this paper, we propose an approach to enable secure data processing on the Cloud with the data from different organizations. the approach consists of a data federation platform for secure data processing on the Cloud named FedCube and a greedy data placement algorithm that creates a plan to store data on the Cloud in order to achieve multiple objectives based on a cost model. the cost model is composed of two objectives, i.e., reducing both monetary cost and execution time. We present an experimental evaluation by comparing our data placement algorithm with the existing methods based on the data federation platform. the experiments show that our proposed algorithm significantly reduce the total cost (up to 69.8%).

关键词： Data federation Cloud computing Secure data sharing Data placement Multi-objective

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Towards making big data applications network-aware in edge-cloud systems 8

Towards making big data applications network-aware in edge-c...

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8th IEEE international conference on Cloud networking (CloudNet)

作者： Haja, David Vass, Balazs Toka, Laszlo MTA BME Network Softwarizat Res Grp Budapest Hungary Budapest Univ Technol & Econ Budapest Hungary MTA BME Informat Syst Res Grp Budapest Hungary

ISBN: (纸本)9781728148328

the amount of data collected in various IT systems has grown exponentially in the recent years. So the challenge rises how we can process those huge datasets with the fulfillment of strict time criteria and of effective resource consumption, usually posed by the service consumers. this problem is not yet resolved with the appearance of edge computing as widearea networking and all its well-known issues come into play and affect the performance of the applications scheduled in a hybrid edge-cloud infrastructure. In this paper, we present the steps we made towards network-aware big data task scheduling over such distributed systems. We propose different resource orchestration algorithms for two potential challenges we identify related to network resources of a geographically distributed topology: decreasing end-to-end latency and effectively allocating network bandwidth. the heuristic algorithms we propose provide better big data application performance compared to the default methods. We implement our solutions in our simulation environment and show the improved quality of big data applications.

关键词： Big data resource orchestration network latency bandwidth geo-distributed network topology

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Improvement of Edge computing Workload Placement using Multi Objective Particle Swarm Optimization

Improvement of Edge Computing Workload Placement using Multi...

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international conference on Internet of things: Systems, Management and Security

作者： Oscar Ricardo Cuéllar Rodríguez Van thanh Le Claus Pahl Nabil El Ioini Hamid R. Barzegar Free University of Bozen-Bolzano Bozen-Bolzano Italy

ISBN: (纸本)9781665458696

With the edge computing paradigm bringing processing power and storage capabilities closer to the edge of the network, the need for optimal workload placement strategies for distributed applications arises. this workload placement must cope with the increasing complexity of the Internet of things (IoT) sensor-actuator infrastructure and be able to satisfy the requirements of each application in a volatile and heterogeneous edge infrastructure. Particle Swarm Optimization (PSO) is a well-established non-deterministic evolutionary algorithm, based on bird behavior; whose objective is to iteratively improve the solution of a problem over a given objective. the algorithm in PSO searches the solution space by creating a population of solution candidates known as particles and moving them with simple mathematical functions. In this study, we introduce a Binary Multi-Objective Particle Swarm Optimization (BMOPSO) algorithm to address the workload placement problem in Edge computing. By combining these modifications to the heuristic, we can efficiently make workload placement decisions based on specific predefined objectives. the experimental result of comparative simulations shows the benefits of the proposed BMOPSO algorithm versus a baseline, testing variations in the number of applications to be allocated.

关键词： Computational modeling Sociology Mathematical models Internet of things Security Reliability Particle swarm optimization

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A Decision Support System of Selecting Groups (Science/ Business Studies/ Humanities) for Secondary School Students in Bangladesh 11

A Decision Support System of Selecting Groups (Science/ Busi...

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11th international conference on computing, Communication and networking Technologies, ICCCNT 2020

作者： Hasan, Rifat Ovy, Md. Khairul Alam Nishi, Ifrat Zahan Hakim, Md. Azizul Hafiz, Rubaiya Daffodil International University Department of CSE Dhaka Bangladesh

ISBN: (纸本)9781728168517

As education is the only way to turn a person into human resource, every country tries to give her citizens proper scope of bringing out their inner ability by offering the appropriate education. According to the education system of Bangladesh, an 8th grade completing student has to choose a group (science, Business Studies, humanity) for further studies. this group will be his/her initial highway for higher education. But it is a matter of sorrow that, in Bangladesh this crucial event is done by some rumors and some traditional old school ways, which are mostly wrong and destructive. From the perspective of this country, the only way of choosing those groups is previous result. Of course, result is one of the most important attribute, but it should not be the only thing. Again in this country, Science is thought to be superior than other groups. that's why, parents have the tendency to impose this group to their children without knowing their ability and interest and leads them towards an uncertain future. therefore, the aim of this paper is to build a model of group selection by analyzing some random attributes of higher level students who have already gone through this event of selecting groups with the help of data mining and some machine learning algorithms, so that a newly 9th grade student could have the proper direction of selecting a group which is best for him/her. For the purpose of experimentation we have used three machine learning algorithms: Naïve Bayes, Sequential Minimal Optimization (SMO) and Random Forest. Among these algorithms Random forest gives the best prediction result with an accuracy of 84.9%. © 2020 IEEE.

关键词： Students

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Brand Awareness Using Network Modeling Method 8

Brand Awareness Using Network Modeling Method

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8th international conference on Information and Communication Technology, ICoICT 2020

作者： Firdaus, Muhamad Fulki Baizal, Z.K.A. Bratawisnu, Made Kevin Gusman, Hanafi Abdullah Telkom University School of Electrical Engineering Bandung Indonesia Telkom University School of Computing Bandung Indonesia Telkom University School of Economics and Business Bandung Indonesia

ISBN: (纸本)9781728161426

the using of online social network has made powerful evolution in digital era. Nowadays, social network is a center of information exchange. Online social networks provide information in the form of user opinion about their brand awareness. the user's opinion represents the level of awareness of the user regarding the existence of the brand. the circulation of information on the social network is widely known as User Generated Content (UGC). Organizations can use the UGC data to assess their brand rankings. the proper method is needed to be able to process UGC so that it is able to generate insight for the organization. this study utilizes social network phenomena to measure brand ranking in analyzing human awareness of a brand using Social Network Analysis (SNA). SNA is an analysis method for observing social network (or social media) by graph modelling. We use network properties to measure interaction intensity on ***, ***, and ***. the results show that the brand awareness of Pegi-Pegi is superior compared to the others. Network property valuation can be used as an alternative for ranking the company's position based on UGC in social media, especially Twitter. © 2020 IEEE.

关键词： Social networking (online)

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Hybrid theme crawler based on links and semantics 8th

Hybrid theme crawler based on links and semantics

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8th international conference on Computer Engineering and Networks, CENet 2018

作者： Zhao, Kang Yang, Yang Gao, Zhipeng Cheng, Long State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9783030146795

Common theme crawler generally analyses the page content or link structure, without solving the problem of computational complexity and easy "myopia", resulting in the page of recall and precision is not high. this paper introduces a mixed theme decision strategy, which fully considers the text content and link structure of the page. By introducing knowledge map database and entity database, the computational complexity is simplified and the judgment accuracy is increased. the experiment shows that the rate of inspection and precision is greatly improved. © Springer Nature Switzerland AG 2020.

关键词： Computational complexity

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Proceedings of FTXS 2018: 8th Workshop on Fault Tolerance for HPC at eXtreme Scale, Held in conjunction with SC18: the international conference for High Performance computing, networking, Storage and Analysis

Proceedings of FTXS 2018: 8th Workshop on Fault Tolerance fo...

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8th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, FTXS 2018

ISBN: (纸本)9781728102221

the proceedings contain 9 papers. the topics discussed include: towards ad hoc recovery for soft errors;fault tolerant Cholesky factorization on GPUs;mproving application resilience by extending error correction with contextual information;a comprehensive informative metric for analyzing HPC system status using the LogSCAN platform;analyzing the impact of system reliability events on applications in the titan supercomputer;extending and evaluating fault-tolerant preconditioned conjugate gradient methods;CPU overheating characterization in HPC systems: a case study;SaNSA - the supercomputer and node state architecture;and influence of a-posteriori subcell limiting on fault frequency in higher-order DG schemes.

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Towards a Trustworthy Patient Home-Care thanks to an Edge-Node Infrastructure 8th

Towards a Trustworthy Patient Home-Care Thanks to an Edge-No...

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8th international conference on Human-Centered Software Engineering (HCSE)

作者： Ardito, Carmelo Di Noia, Tommaso Di Sciascio, Eugenio Lofu, Domenico Mallardi, Giulio Pomo, Claudio Vitulano, Felice Politecn Bari Via E Orabona 4 I-70125 Bari Italy Exprivia SpA Innovat Lab Via A Olivetti 11 I-70056 Molfetta Italy

ISBN: (纸本)9783030642655;9783030642662

Ambient Assisted Living (AAL) promotes the assistance of a patient at home according to her/his Clinical Pathway, i.e., a set of diagnostic and therapeutic procedures related to the treatment of that specific patient. AAL is increasingly gaining momentum thanks to the Internet of things (IoT). Edge-computing would boost the AAL success, since this kind of architecture promotes a sort of distributed cloud computing at the edges of the IoT network, thus reducing latency and improving reliability. this poster paper focuses on the implementation, in a AAL system based on such an IoT-Edge-computing coupled architecture, of an anomaly detection module able to detect deviations from the patient's Clinical Pathway (CP) and avoid processing of inconsistent or fake data, which could result in a serious life-threatening for a patient.

关键词： Anomaly detection Edge-computing Smart healthcare

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Proceedings of IA3 2018: 8th Workshop on Irregular Applications: Architectures and Algorithms, Held in conjunction with SC 2018: the international conference for High Performance computing, networking, Storage and Analysis

Proceedings of IA3 2018: 8th Workshop on Irregular Applicati...

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8th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, IA3 2018

ISBN: (纸本)9781728101866

the proceedings contain 8 papers. the topics discussed include: a block-oriented, parallel and collective approach to sparse indefinite preconditioning on GPUs;software prefetching for unstructured mesh applications;there are trillions of little forks in the road. choose wisely! - estimating the cost and likelihood of success of constrained walks to optimize a graph pruning pipeline;scale-free graph processing on a NUMA machine;a fast and simple approach to merge and merge sort using wide vector instructions;impact of traditional sparse optimizations on a migratory thread architecture;mix-and-match: a model-driven runtime optimization strategy for BFS on GPUs;and high-performance GPU implementation of PageRank with reduced precision based on mantissa segmentation.

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