*Future Generation Computer Systems - The international Journal of eScience* https://www.journals.elsevier.com/future-generation-computer-systems **Special Issue on Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing.** https://www.journals.elsevier.com/future-generation-computer-systems/call-fo... The future development of cloud computing systems is more and more influenced by Big Data and IoT. There are research and industrial works showing applications, services, experiments and simulations in the Cloud that support the cases related to IoT, Big Data and Security. Cloud users and cloud service providers face a variety of new challenges like encrypted data search, share, auditing, key management security and privacy. There is also a need for protocols that facilitate big data streaming from IoT to the cloud and QoS. This special issue encourages submissions related to all aspects of IoT, Big Data and Cloud Computing. In particular, it aims to examine the prospects and challenges that arise in conjunction with the trending topic in the field of Internet of Things and Big Data which are essential to comply with the necessities of modern cloud applications. Promoting the submission of the ongoing work with the existing important theoretical and practical results, along with position papers and case studies of already present verification projects, this special issue will highlight the art in this domain. As one of the goals, this special issue intends to convene researchers and practitioners to review the diverse range of features of security, privacy, trust and reliability in IoT and Cloud. It also examines significant theories, scrutinies technology enablers, formulates significant application and devise new methods to overcome the major problems that this research area poses. The objective of this special issue is to capture the latest advances in research topics that include but are not limited to: * Big Data and IoT on the Cloud * IoT Services and Applications * Security, Privacy and Trust in IoTSensor Networks * Remote Diagnosis and Development * Data Analysis and Visualization for IoT * Performance Evaluation and Modeling for IoT * Networking and Communication Protocols for IoT * Physical Security and Data LocationTechnological focus for Smart Environments * Data and Knowledge Management * Data Mining * Big Data Security * Cloud Computing Platforms, Applicationsand Management * Cloud Security and Privacy Management * Mobile Cloud Computing * Services Computing * Hybrid Cloud Computing * Virtualization of Resources in Clouds * Energy Efficiency in Clouds * Data Storage in Clouds * Cloud Applications Performance and Monitoring *Important Dates* Paper submission due: June 30, 2017 First-round acceptance notification: September 1, 2017 Revision: October 15, 2017 Final decision: December 15, 2017 Submission of final paper: January 15, 2018 Publication date: March, 2018 *Submission Guideline* Paper submissions for the special issue should follow the submission format and guidelines for regular Elsevier Journal of Future Generation Computer Systems at http://ees.elsevier.com/fgcs/. All the papers will be peer-reviewed following the FGCS reviewing procedures. Guest editors will make an initial determination of the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Authors should select “*SI:**Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing*” when they reach the “Article Type” step in the submission process. Top conference papers from SC2-2016 (http://grid.chu.edu.tw/sc2-2016) and IoTDBS 2017 (http://www.iotbds.org) will be invited for extended and enhanced version for this special issue. Extended conference contributions must have *at least 50%* difference from the original works (the authors must indicate the conference name and make the reference to the base conference paper). * Guest Editors* Anna Kobusinska (Lead guest editor), Faculty of Computing, Poznan University of Technology, Poland. Raghavendra S, Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, Karnataka, India. Carson Leung, Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada. Robert Hsu, Department of Computer Science and Information Engineering, Chung Hua University, Taiwan. Victor Chang, International Business School Suzhou, Xi’an Jiaotong Liverpool University China.