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Prefetching in Content Distribution Networks via Web Communities Identification and Outsourcing

Antonis Sidiropoulos, George Pallis, Dimitrios Katsaros, Konstantinos Stamos, Athena Vakali, Yannis Manolopoulos
2007 World wide web (Bussum)  
Keywords data dissemination techniques on the web · content distribution networks · web communities · web prefetching · internet and web-based · web data mining Introduction The Web has evolved rapidly  ...  We identify clusters of "correlated" Web pages in a site, called Web site communities, and make these World Wide Web communities the basic outsourcing unit.  ...  In this paper, we deal with the problem of long-term prefetching for cooperative push-based content distribution.  ... 
doi:10.1007/s11280-007-0027-8 fatcat:jehdqd3esrb6hkelr2gm6im3ca

CDNs Content Outsourcing via Generalized Communities

D. Katsaros, G. Pallis, K. Stamos, A. Vakali, A. Sidiropoulos, Y. Manolopoulos
2009 IEEE Transactions on Knowledge and Data Engineering  
Content Distribution Networks (CDNs) balance costs and quality in services related to content delivery.  ...  These communities are the core outsourcing unit and in this paper a detailed simulation experimentation has shown that the proposed technique is robust and effective in reducing user-perceived latency  ...  Acknowledgments The authors appreciate and thank the anonymous reviewers for their valuable comments and suggestions, which have considerably contributed in improving the papers content, organization and  ... 
doi:10.1109/tkde.2008.92 fatcat:7j4f5xz75vhl3eycatigv4ndse

Embracing the cloud for better cyber security

Craig A. Shue, Brent Lagesse
2011 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
Organizations are moving towards outsourcing their data storage, computation, and even user desktop environments.  ...  focus on enabling secure communication with remote systems.  ...  The United States Government retains, and the publisher, by accepting this submission for publication, acknowledges that the United States Government retains, a nonexclusive, paid-up, irrevocable, worldwide  ... 
doi:10.1109/percomw.2011.5766877 dblp:conf/percom/ShueL11 fatcat:bh3s7h7p5nhhpbkujpzfryuczu

Table of Contents

2022 IEEE Systems Journal  
Li A Framework for Capacity Expansion Planning in Failure-Prone Flow-Networks via Systemic Risk Analysis . . . . . . . . . .  ...  Davis Distributed Coordinate Tension Regulation of Web Processing Systems With Two Unwinders . . . . . . X. Chu and X.  ... 
doi:10.1109/jsyst.2022.3144812 fatcat:yabqtx64xfe4xkh6ptvnfqdjji

A Dynamic Healthcare Portal Design and Enhancements [chapter]

Yung-Ching Weng, Sheau-Ling Hsieh, Kai-Ping Hsu, Chi-Huang Chen, Po Hsun, Feipei Lai
2010 Web Intelligence and Intelligent Agents  
The communications between the Auth-WS and the Outsourcing Systems are achieved via their APIs. The flows of the scheme are demonstrated in Figure 2 red arrows.  ...  In addition, the web-based applications are designed to be modular and built on a distributed, n-tier architecture.  ...  the original is properly cited and derivative works building on this content are distributed under the same license.  ... 
doi:10.5772/8366 fatcat:x6tqod4fnzhtnoa5em43g6xq5q

A survey on content-centric technologies for the current Internet: CDN and P2P solutions

Andrea Passarella
2012 Computer Communications  
Among the most significant examples, in this survey we consider the transition of the Internet from a reliable fault-tolerant network for host-to-host communication to a content-centric network, i.e. a  ...  Then we describe in detail the two most important types of content-centric Internet technologies, i.e., Content-Delivery Networks (CDNs) and P2P systems.  ...  The second aspect of CDN content distribution is the identification of what content in the origin server is to be replicated on the CDN.  ... 
doi:10.1016/j.comcom.2011.10.005 fatcat:mqpp6bmqxncfxlucseqkd3xjhe

2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32

2022 IEEE Transactions on Parallel and Distributed Systems  
., +, TPDS May 2021 1210-1223 Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks.  ...  ., +, TPDS July 2021 1513-1525 Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks.  ... 
doi:10.1109/tpds.2021.3107121 fatcat:e7bh2xssazdrjcpgn64mqh4hb4

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., and Bose, R., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe  ...  Gao, S., +, JIoT March 2020 2005-2013 EdgeVCD: Intelligent Algorithm-Inspired Content Distribution in Vehicular Edge Computing Network.  ...  Yu, J., +, JIoT Sept. 2020 7949-7966 Machine-Learning Approach for User Association and Content Placement in Fog Radio Access Networks.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

The state of the art in locally distributed Web-server systems

Valeria Cardellini, Emiliano Casalicchio, Michele Colajanni, Philip S. Yu
2002 ACM Computing Surveys  
System platforms that do not replicate information content cannot provide the needed scalability to handle large traffic volumes and to match rapid and dramatic changes in the number of clients.  ...  The overall increase in traffic on the World Wide Web is augmenting user-perceived response times from popular Web sites, especially in conjunction with special events.  ...  ACKNOWLEDGMENTS We would like to thank the anonymous reviewers for their valuable comments and suggestions that have improved the presentation and correctness of this survey.  ... 
doi:10.1145/508352.508355 fatcat:dtn6dg7r3zgkvnkw3gmvacdddm

Greening Cloud-Enabled Big Data Storage Forensics: Syncany as a Case Study

Yee-Yang Teing, Dehghantanha Ali, Kim Choo, Mohd T. Abdullah, Zaiton Muda
2017 IEEE Transactions on Sustainable Computing  
The pervasive nature of cloud-enabled big data storage solutions introduces new challenges in the identification, collection, analysis, preservation and archiving of digital evidences.  ...  big data platforms in order to reduce the investigation time and resources involved in a real-world investigation.  ...  For example, due to the nature of cloud-enabled big data storage solutions (e.g. data physically stored in distributed servers), identification of residual evidences may be a 'finding a needle in a haystack  ... 
doi:10.1109/tsusc.2017.2687103 dblp:journals/tsusc/TeingDCMA19 fatcat:mlavg4aijjeytfsyu4ua32vnvy

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Kimon Deligiannis, Paraskevi Raftopoulou, Christos Tryfonopoulos, Nikos Platis, Costas Vassilakis
2020 Big Data and Cognitive Computing  
Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture.  ...  data shards with other stakeholders, (iv) search, filter and analyze data via an expressive yet simple-to-use graphical query engine and visualization tools, and (v) perform user management and access  ...  The funders had no role in the design of the study; in the collection, analyzes, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/bdcc4020007 fatcat:5qiczat7lrafroczrzqiheuyvi

Investigations for the improvement of the Cyber Security using Cloud Computing methods and Architecture

Dr. Sai Manoj Kudavaralli
2021 Zenodo  
Investigations for the improvement of the Cyber Security using Cloud Computing methods and Architecture: D.Sc. Thesis  ...  Likewise, ESV monitors the social network interactions among mobile users, and their private agents try to prefetch video content in advance.  ...  This new means of service provision has evolved from and is the culmination of research stemming from (among others) distributed and networked systems, utility computing, the web and software services  ... 
doi:10.5281/zenodo.5148421 fatcat:lzanqvxdlre2dh3hdhjxibdrim

A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues

Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Saraswathy Shamini Gunasekaran, Mohammed Nasser Al-Mhiqani, Ammar Awad Mutlag, Salama A. Mostafa, Nabeel Salih Ali, Dheyaa Ahmed Ibrahim
2019 IEEE Access  
In recent years, an increasing trend has been observed in adopting ML to enhance fog computing applications and provide fog services, like efficient resource management, security, mitigating latency and  ...  Based on our understanding and knowledge, there is no study has yet investigated the role of ML in the fog computing paradigm.  ...  via using ML approaches.  ... 
doi:10.1109/access.2019.2947542 fatcat:k3ihiouwbfbw5ksusc6c4r6bqi

Hey, you, get off of my cloud

Thomas Ristenpart, Eran Tromer, Hovav Shacham, Stefan Savage
2009 Proceedings of the 16th ACM conference on Computer and communications security - CCS '09  
Third-party cloud computing represents the promise of outsourcing as applied to computation.  ...  In the remainder of this paper, we explain these findings in more detail and then discuss means to mitigate the problem.  ...  This work was supported by NSF grants NSF-0433668, CNS-0808907, CNS-0524765, CNS-0627779 and NSF-0829469, AFRL grant FA8750-08-1-0088, and partially supported by a MURI grant administered by the Air Force  ... 
doi:10.1145/1653662.1653687 dblp:conf/ccs/RistenpartTSS09 fatcat:6pcsvygsanhwzng6c2ynyk4l4q

Distributed Computing [chapter]

Manuel Delfino
2020 Particle Physics Reference Library  
Distributed computing is an established discipline in computer science and engineering.  ...  distributed systems, and providing starting points in order to seek further information on the subject.  ...  The basic assumption in the SHIFT framework is that a Local Area Network (LAN) can be built with enough capacity and flexibility so that the rest of the elements in the distributed environment can communicate  ... 
doi:10.1007/978-3-030-35318-6_14 fatcat:ph2o7uwap5hw5iegwiegemca64
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