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Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in proton−proton collisions at s=13 TeV with the ATLAS detector

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Physical Review D 2020年第11期102卷 112008-112008页

作者： G. Aad B. Abbott D. C. Abbott A. Abed Abud K. Abeling D. K. Abhayasinghe S. H. Abidi O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu Y. Abulaiti B. S. Acharya B. Achkar L. Adam C. Adam Bourdarios L. Adamczyk L. Adamek J. Adelman M. Adersberger A. Adiguzel S. Adorni T. Adye A. A. Affolder Y. Afik C. Agapopoulou M. N. Agaras A. Aggarwal C. Agheorghiesei J. A. Aguilar-Saavedra A. Ahmad F. Ahmadov W. S. Ahmed X. Ai G. Aielli S. Akatsuka M. Akbiyik T. P. A. Åkesson E. Akilli A. V. Akimov K. Al Khoury G. L. Alberghi J. Albert M. J. Alconada Verzini S. Alderweireldt M. Aleksa I. N. Aleksandrov C. Alexa T. Alexopoulos A. Alfonsi F. Alfonsi M. Alhroob B. Ali S. Ali M. Aliev G. Alimonti C. Allaire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio F. Alonso C. Alpigiani E. Alunno Camelia M. Alvarez Estevez M. G. Alviggi Y. Amaral Coutinho A. Ambler L. Ambroz C. Amelung D. Amidei S. P. Amor Dos Santos S. Amoroso C. S. Amrouche F. An C. Anastopoulos N. Andari T. Andeen J. K. Anders S. Y. Andrean A. Andreazza V. Andrei C. R. Anelli S. Angelidakis A. Angerami A. V. Anisenkov A. Annovi C. Antel M. T. Anthony E. Antipov M. Antonelli D. J. A. Antrim F. Anulli M. Aoki J. A. Aparisi Pozo M. A. Aparo L. Aperio Bella N. Aranzabal Barrio V. Araujo Ferraz R. Araujo Pereira C. Arcangeletti A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos J.-H. Arling A. J. Armbruster A. Armstrong O. Arnaez H. Arnold Z. P. Arrubarrena Tame G. Artoni H. Asada K. Asai S. Asai T. Asawatavonvanich N. Asbah E. M. Asimakopoulou L. Asquith J. Assahsah K. Assamagan R. Astalos R. J. Atkin M. Atkinson N. B. Atlay H. Atmani K. Augsten V. A. Austrup G. Avolio M. K. Ayoub G. Azuelos H. Bachacou K. Bachas M. Backes F. Backman P. Bagnaia M. Bahmani H. Bahrasemani A. J. Bailey V. R. Bailey J. T. Baines C. Bakalis O. K. Baker P. J. Bakker E. Bakos D. Bakshi Gupta S. Balaji R. Balasubramanian E. M. Baldin P. Balek F. Balli W. K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay Sw. Banerjee L. Barak W. M. Barbe E. L. Barberio D. Barberis M. Barbero CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Department of Physics University of Massachusetts Amherst Massachusetts USA CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Department of Physics University of Toronto Toronto ON Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne Illinois USA INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Bogazici University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA IJCLab Université Paris-Saclay CNRS/IN2P3 91405 Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Physics Radboud University Nijmegen/Nikhef Nijmegen Netherlands Department of Physics Alexandru Ioan Cuza U

A search for heavy resonances decaying into a W or Z boson and a Higgs boson produced in proton−proton collisions at the Large Hadron Collider at s=13 TeV is presented. The analysis utilizes the dominant W→qq¯′ or Z→qq¯ and H→bb¯ decays with substructure techniques applied to large-radius jets. A sample corresponding to an integrated luminosity of 139 fb−1 collected with the ATLAS detector is analyzed and no significant excess of data is observed over the background prediction. The results are interpreted in the context of the heavy vector triplet model with spin-1 W′ and Z′ bosons. Upper limits on the cross section are set for resonances with mass between 1.5 and 5.0 TeV, ranging from 6.8 to 0.53 fb for W′→WH and from 8.7 to 0.53 fb for Z′→ZH at the 95% confidence level.

关键词： Hypothetical particle physics models Particle data analysis

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Search for long-lived, massive particles in events with a displaced vertex and a muon with large impact parameter in pp collisions at s=13 TeV with the ATLAS detector

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Physical Review D 2020年第3期102卷 032006-032006页

作者： G. Aad B. Abbott D. C. Abbott A. Abed Abud K. Abeling D. K. Abhayasinghe S. H. Abidi O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu Y. Abulaiti B. S. Acharya B. Achkar S. Adachi L. Adam C. Adam Bourdarios L. Adamczyk L. Adamek J. Adelman M. Adersberger A. Adiguzel S. Adorni T. Adye A. A. Affolder Y. Afik C. Agapopoulou M. N. Agaras A. Aggarwal C. Agheorghiesei J. A. Aguilar-Saavedra F. Ahmadov W. S. Ahmed X. Ai G. Aielli S. Akatsuka T. P. A. Åkesson E. Akilli A. V. Akimov K. Al Khoury G. L. Alberghi J. Albert M. J. Alconada Verzini S. Alderweireldt M. Aleksa I. N. Aleksandrov C. Alexa D. Alexandre T. Alexopoulos A. Alfonsi F. Alfonsi M. Alhroob B. Ali G. Alimonti J. Alison S. P. Alkire C. Allaire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani A. A. Alshehri M. Alvarez Estevez D. Álvarez Piqueras M. G. Alviggi Y. Amaral Coutinho A. Ambler L. Ambroz C. Amelung D. Amidei S. P. Amor Dos Santos S. Amoroso C. S. Amrouche F. An C. Anastopoulos N. Andari T. Andeen C. F. Anders J. K. Anders A. Andreazza V. Andrei C. R. Anelli S. Angelidakis A. Angerami A. V. Anisenkov A. Annovi C. Antel M. T. Anthony M. Antonelli D. J. A. Antrim F. Anulli M. Aoki J. A. Aparisi Pozo L. Aperio Bella G. Arabidze J. P. Araque V. Araujo Ferraz R. Araujo Pereira C. Arcangeletti A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos J.-H. Arling A. J. Armbruster A. Armstrong O. Arnaez H. Arnold Z. P. Arrubarrena Tame A. Artamonov G. Artoni S. Artz S. Asai N. Asbah E. M. Asimakopoulou L. Asquith J. Assahsah K. Assamagan R. Astalos R. J. Atkin M. Atkinson N. B. Atlay H. Atmani K. Augsten G. Avolio R. Avramidou M. K. Ayoub A. M. Azoulay G. Azuelos H. Bachacou K. Bachas M. Backes F. Backman P. Bagnaia M. Bahmani H. Bahrasemani A. J. Bailey V. R. Bailey J. T. Baines M. Bajic C. Bakalis O. K. Baker P. J. Bakker D. Bakshi Gupta S. Balaji E. M. Baldin P. Balek F. Balli W. K. Balunas J. Balz E. Banas A. Bandyopadhyay Sw. Banerjee A. A. E. Bannoura L. Barak W. M. Barbe E. L. Barberio D. Barberis M. Barbero G. CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States of America Department of Physics University of Massachusetts Amherst MA United States of America INFN Sezione di Pavia Italy Dipartimento di Fisica Università di Pavia Pavia Italy II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Department of Physics University of Toronto Toronto ON Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne IL United States of America INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy International Center for Elementary Particle Physics and Department of Physics University of Tokyo Tokyo Japan Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb IL United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Bogazici University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA United States of America IJCLab Université Paris-Saclay CNRS/IN2P3 91405 Orsay Franc

A search for long-lived particles decaying into hadrons and at least one muon is presented. The analysis selects events that pass a muon or missing-transverse-momentum trigger and contain a displaced muon track and a displaced vertex. The analyzed dataset of proton-proton collisions at s=13 TeV was collected with the ATLAS detector and corresponds to 136 fb−1. The search employs dedicated reconstruction techniques that significantly increase the sensitivity to long-lived particle decays that occur in the ATLAS inner detector. Background estimates for Standard Model processes and instrumental effects are extracted from data. The observed event yields are compatible with those expected from background processes. The results are presented as limits at 95% confidence level on model-independent cross sections for processes beyond the Standard Model, and interpreted as exclusion limits in scenarios with pair production of long-lived top squarks that decay via a small R-parity-violating coupling into a quark and a muon. Top squarks with masses up to 1.7 TeV are excluded for a lifetime of 0.1 ns, and masses below 1.3 TeV are excluded for lifetimes between 0.01 ns and 30 ns.

关键词： Supersymmetric models

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Human-as-a-Service: Growth in Human Service Ecosystem

Human-as-a-Service: Growth in Human Service Ecosystem

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IEEE International Conference on Services Computing (SCC)

作者： Keman Huang Jinhui Yao Jia Zhang Zhiyong Feng Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China Sloan School of Management MIT USA School of Computer Science and Technology Tianjin University Tianjin China Palo Alto Research Center (PARC) Palo Alto CA USA Carnegie Mellon University Silicon Valley USA

With the sweeping progress of services technology and crowdsourcing, individuals are offering their capability as a service and companies are orchestrating them for problem solving over the web. As a consequence, recent years have witnessed a rapid development of a human service ecosystem. In contrast to web service ecosystem, human service ecosystem is more complicated by the fact that humans grow capability overtime and their collaborations typically imply human involvement. It is thus worthy to understand the modeling of evolution of human capabilities and collaborations for optimization and more effective management. This paper proposes a three-layer time-aware heterogeneous network model, and based on it, a novel method is developed to study how human service providers and consumers develop their service provision and orchestrating capabilities as well as how they collaborate with each other. Exploratory analysis uncovers some evolution patterns which open a gateway for building possible applications such as human service recommendation for consumers, human capability development, and mechanism design for platform management.

关键词： Ecosystems Collaboration Servers Web services Heterogeneous networks Measurement Crowdsourcing

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Exploiting temporal and spatial variation for WiFi interference avoidance in ZigBee networks

Exploiting temporal and spatial variation for WiFi interfere...

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作者： Shi, Gaotao Xu, Ruitao Shu, Yantai Luo, Jun School of Computer Science and Technology Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application Tianjin300072 China School of Computer Science and Technology Tianjin University Tianjin300072 China School of Computer Engineering Nanyang Technological University Singapore639798 Singapore

Specifically, ZigBee networks share the 2.4 GHz ISM band with WiFi but have much lower transmission power. Therefore, the ZigBee networks inevitably suffer the interference from WiFi networks. In this paper, we focus on utilising the temporal and spatial feature of WiFi interference to adjust Zigbee channel over the whole networks. We experimentally examine the spatiotemporal variation of interference and then present a novel interference assessing method which jointly considers the intensity and density of WiFi interference in order to better characterise the relation between interference and link quality. Further considering the interference locality, we propose MuZi (Multi-channel ZigBee) as an interference avoiding approach for ZigBee networks. It aims to determine a better working channel for each node while taking network connectivity into consideration. Our experiments show that, under the existence of WiFi interference, MuZi can achieve 3.3 times throughput than the traditional single-channel method. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： Internet of things

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Search for resonances in fully hadronic final states in pp collisions at = 13 TeV with the ATLAS detector

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Journal of High Energy Physics 2020年第10期2020卷 1-43页

作者： Aad, G. Abbott, B. Abbott, D. C. Abed Abud, A. Abeling, K. Abhayasinghe, D. K. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B. S. Achkar, B. Adam, L. Adam Bourdarios, C. Adamczyk, L. Adamek, L. Adelman, J. Adersberger, M. Adiguzel, A. Adorni, S. Adye, T. Affolder, A. A. Afik, Y. Agapopoulou, C. Agaras, M. N. Aggarwal, A. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahmad, A. Ahmadov, F. Ahmed, W. S. Ai, X. Aielli, G. Akatsuka, S. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Al Khoury, K. Alberghi, G. L. Albert, J. Alconada Verzini, M. J. Alderweireldt, S. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexopoulos, T. Alfonsi, A. Alfonsi, F. Alhroob, M. Ali, B. Ali, S. Aliev, M. Alimonti, G. Allaire, C. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, F. Alpigiani, C. Alunno Camelia, E. Alvarez Estevez, M. Alviggi, M. G. Amaral Coutinho, Y. Ambler, A. Ambroz, L. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amrouche, C. S. An, F. Anastopoulos, C. Andari, N. Andeen, T. Anders, J. K. Andrean, S. Y. Andreazza, A. Andrei, V. Anelli, C. R. Angelidakis, S. Angerami, A. Anisenkov, A. V. Annovi, A. Antel, C. Anthony, M. T. Antipov, E. Antonelli, M. Antrim, D. J. A. Anulli, F. Aoki, M. Aparisi Pozo, J. A. Aparo, M. A. Aperio Bella, L. Aranzabal Barrio, N. Araujo Ferraz, V. Araujo Pereira, R. Arcangeletti, C. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arling, J.-H. Armbruster, A. J. Armstrong, A. Arnaez, O. Arnold, H. Arrubarrena Tame, Z. P. Artoni, G. Asai, K. Asai, S. Asawatavonvanich, T. Asbah, N. Asimakopoulou, E. M. Asquith, L. Assahsah, J. Assamagan, K. Astalos, R. Atkin, R. J. Atkinson, M. Atlay, N. B. Atmani, H. Augsten, K. Austrup, V. A. Avolio, G. Ayoub, M. K. Azuelos, G. Bachacou, H. Bachas, K. Backes, M. Backman, F. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A. J. Bailey, V. R. Baines, J. T. Bakalis, C. Baker, O. K. Bakker, P. J. Bakos, E. Bakshi Gupta, D. Balaji, S. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Balz, J. Bana CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Department of Physics University of Massachusetts Amherst United States of America CERN Geneva Switzerland II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Department of Physics Royal Holloway University of London Egham United Kingdom Department of Physics University of Toronto Toronto Canada Niels Bohr Institute University of Copenhagen Copenhagen Denmark Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion Israel Institute of Technology Haifa Israel High Energy Physics Division Argonne National Laboratory Argonne United States of America INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom Institut für Physik Universität Mainz Mainz Germany LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Bogazici University Istanbul Turkey Département de Physique Nucléaire et Corpusculaire Université de Genève Genève Switzerland Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz United States of America IJCLab Université Paris-Saclay CNRS/IN2P3 Orsay France LPC Université Clermont Auvergne CNRS/IN2P3 Clermont-Ferrand France Institute for Mathematics Astrophysics and Particle Phys

This paper presents a search for new heavy particles decaying into a pair of top quarks using 139 fb−1 of proton-proton collision data recorded at a centre-of-mass energy of $$ \sqrt{s} $$ = 13 TeV with the ATLAS detector at the Large Hadron Collider. The search is performed using events consistent with pair production of high-transverse-momentum top quarks and their subsequent decays into the fully hadronic final states. The analysis is optimized for resonances decaying into a $$ t\overline{t} $$ pair with mass above 1.4 TeV, exploiting a dedicated multivariate technique with jet substructure to identify hadronically decaying top quarks using large-radius jets and evaluating the background expectation from data. No significant deviation from the background prediction is observed. Limits are set on the production cross-section times branching fraction for the new Z′ boson in a topcolor-assisted-technicolor model. The Z′ boson masses below 3.9 and 4.7 TeV are excluded at 95% confidence level for the decay widths of 1% and 3%, respectively.

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A new framework for anomaly detection based on knn-distort in the metro traffic flow 6th

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6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Zhang, Yapeng Hu, Nan Wang, Wenjun Yu, Hao School of Computer Science and Technology Tianjin University Tianjin300072 China Tianjin Emergency Medical Center Tianjin300072 China Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin300072 China

ISBN: (纸本)9783319204710

Anomaly detection is an important problem that has been well researched in diverse application domains. However, to the best of our knowledge, the anomaly detection for metro traffic flow has not been investigated before. In this paper, we proposed a new framework to solve two problems about anomaly detection in the metro traffic flow: obtaining the potential information by every passenger’s trip and detecting anomalies among metro traffic flow. For the first problem, we proposed a novel encoding path model to infer the passing stations’ information for each trip. For the second problem, we provide an improved K-Nearest Neighbor Distort (KNN-Distort) algorithm to quantify the anomalies in the metro traffic flow. We conduct intensive experiments on a large real-world metro dataset to demonstrate the performance of our algorithms. © Springer International Publishing Switzerland 2015.

关键词： Encoding (symbols)

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S-Looper: Automatic summarization for multipath string loops 2015

S-Looper: Automatic summarization for multipath string loops

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24th International Symposium on Software Testing and Analysis, ISSTA 2015

作者： Xie, Xiaofei Liu, Yang Le, Wei Li, Xiaohong Chen, Hongxu Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University School of Computer Science and Technology China Nanyang Technological University Singapore Singapore Iowa State University United States

ISBN: (纸本)9781450336208

Loops are important yet most challenging program constructs to analyze for various program analysis tasks. Existing loop analysis techniques mainly handle well loops that contain only integer variables with a single path in the loop body. The key challenge in summarizing a multiple-path loop is that a loop traversal can yield a large number of possibilities due to the different execution orders of these paths located in the loop;when a loop contains a conditional branch related to string content, we potentially need to track every character in the string for loop summarization, which is expensive. In this paper, we propose an approach, named S-Looper, to automatically summarize a type of loops related to a string traversal. This type of loops can contain multiple paths, and the branch conditions in the loop can be related to string content. Our approach is to identify patterns of the string based on the branch conditions along each path in the loop. Based on such patterns, we then generate a loop summary that describes the path conditions of a loop traversal as well as the symbolic values of each variable at the exit of a loop. Combined with vulnerability conditions, we are thus able to generate test inputs that traverse a loop in a specific way and lead to exploitation. Our experiments show that handling such string loops can largely improve the buffer overflow detection capabilities of the existing symbolic analysis tool. We also compared our techniques with KLEE and PEX, and show that we can generate test inputs more effectively and efficiently. © 2015 ACM.

关键词： Symbolic execution String constraints Loop summarization

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Exploring link-based algorithm for web spam detection

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Journal of Information and Computational Science 2015年第13期12卷 5003-5011页

作者： Yu, Jian Zhou, Jing Yu, Mei Du, Yu Lv, Fang Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin China

Searching engines are playing more and more important role in discovering information on the web nowadays. Spam web, however, is one of the problems which reduce the efficiency of search engines. A more reasonable consideration is the reversibility of information transition in random walk model. In this paper, we propose TDRank algorithm which is on the basis of the two-direction transmission of information. Several good pages and spam pages are selected to be seeds in this paper. Their trust scores are propagating through both incoming links and outgoing links. Experiment results show that TDRank is effective for combating spam. Besides, a method of seed selection is put forward, seeds selected by our method help the results be more accurate. ©, 2015, Journal of Information and Computational Science. All right reserved.

关键词： Search engines

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Dynamic resource provision for cloud broker with multiple reserved instance terms 1

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Zhang, Jiangtao Chen, Shi Huang, Hejiao Wang, Xuan Du, Dingzhu School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen518055 China Public Service Platform of Mobile Internet Application Security Industry Shenzhen518057 China Shenzhen Key Laboratory of Internet of Information Collaboration Shenzhen518055 China Shenzhen Applied Technology Engineering Laboratory for Internet Multimedia Application Shenzhen518055 China Department of Computer Science University of Texas at Dallas RichardsonTX75080 United States

ISBN: (数字)9783319271194

ISBN: (纸本)9783319271187

Relying on the knowledge of the pricing benefit of long-term reserved resource and multiplexing gains, cloud broker strives to minimize its cost by utilizing infrastructure resources from public cloud service provider. Different reserved instance terms accompanied by different prices are provisioned by the provider. How to choose the appropriate ones from various terms to meet the dynamic user demands at the least cost is a great challenge. This paper addresses the challenge by two algorithms. Extensive real world traces driven evaluations show that the heuristic algorithm runs about twice as fast as the approximation one, while both algorithms can save almost the same resource cost up to 27%. © Springer International Publishing Switzerland 2015.

关键词： Costs

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An efficient incremental algorithm for dynamic network community discovery

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Journal of Computational Information Systems 2015年第12期11卷 4313-4320页

作者： Yu, Mei Zhou, Jing Yu, Jian Du, Yu Ning, Jie Zhang, Xu Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin China

Many community discovery methods need to divide dynamic social network of each moment. They often lead to high time complexity. There is a need for detecting community techniques on dynamic social networks with a high degree of accuracy and a low time complexity. In this study, we propose a FNICD (Fast-Newman based Incremental Community Detection) method, and compare it with the Incremental Clustering algorithm on test datasets. The experiment results reveal that our method has lower time complexity and detects more accurate community structures. In addition, the method defines the deviation degree to reduce cumulative errors. ©, 2015, Binary Information Press. All right reserved.

关键词： Complex networks

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