04569nam 22005895 450 991029988440332120200703001938.03-319-65636-810.1007/978-3-319-65636-6(CKB)3710000001631015(MiAaPQ)EBC4978969(DE-He213)978-3-319-65636-6(PPN)203852788(EXLCZ)99371000000163101520170816d2018 u| 0engurcnu||||||||rdacontentrdamediardacarrierAdvances in Intelligent Networking and Collaborative Systems The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017) /edited by Leonard Barolli, Isaac Woungang, Omar Khadeer Hussain1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (603 pages) illustrations (some color), graphs, tablesLecture Notes on Data Engineering and Communications Technologies,2367-4512 ;83-319-65635-X Includes bibliographical references at the end of each chapters and index.The aim of this book is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., and to reveal synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. It presents the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada. With the rapid evolution of the Internet, we are currently experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that puts people at the very centre of networks and exploits the value of people’s connections, relations and collaborations. Social networks are also pla ying a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations effectively leverage intelligent networking and collaborative systems by tapping into a broad range of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, the latest and powerful technologies based on Grid and wireless infrastructure as well as Cloud computing are now greatly enhancing collaborative and networking applications, but are also facing new issues and challenges. The principal objective of the research and development community is to stimulate research that leads to the creation of responsive environments for networking and, in the longer-term, the developmen t of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. .Lecture Notes on Data Engineering and Communications Technologies,2367-4512 ;8Computational intelligenceArtificial intelligenceBig dataComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Computational intelligence.Artificial intelligence.Big data.Computational Intelligence.Artificial Intelligence.Big Data.004.6Barolli Leonardedthttp://id.loc.gov/vocabulary/relators/edtWoungang Isaacedthttp://id.loc.gov/vocabulary/relators/edtHussain Omar Khadeeredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299884403321Advances in Intelligent Networking and Collaborative Systems2542795UNINA