Special Issue on Advances of Utility and Cloud Computing Technologies and Services



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Special Issue on Advances of Utility and Cloud Computing Technologies and Services Aims Computing is rapidly moving towards a model where it is provided as services that are delivered in a manner similar to traditional utilities such as water, electricity, gas, and telephony. In such a model, users access services according to their requirements, without regard to where the services are hosted or how they are delivered. Several computing architectures have evolved to realize this utility computing vision, including Grid computing, Service-Oriented Architecture (SOA) and Cloud computing, which has recently shifted into the center of attention in the ICT industry. Increasing numbers of IT vendors are promising to offer applications, storage and computation hosting services with conforming Service-Level Agreements (SLA) to ensure Quality of Services (QoS) and performance. Considering many of these services are hosted in traditional data centers, there is significant complexity involved in ensuring the scalability, availability, manageability and accessibility of applications, services and data, as the scale of the systems as well as the users grows. As a result, it is becoming important to investigate the use of cloud computing techniques and its interoperability with utility computing. This special issue focuses on principles, paradigms and applications of "Utility computing" and its practical realization especially in the context of Cloud Computing. Scope of Special Issue - Principles and foundations for Utility and Cloud Computing, including pricing, service model and Service Level Agreements (SLAs) - Architectural models for clouds: private, public, hybrid, federated, aggregated - Cloud Computing middleware, stacks, tools, delivery networks and services on all layers (XaaS) - Cloud management: brokering, scheduling, capacity planning, monitoring, parallelism and elasticity, marketplaces, autonomic, adaptive, self-*, SLAs, performance models, energy-efficient - Software engineering, cloud programming models, big data and analytics - Applications: recommender systems, social networks, scientific computing (e-science), business, IoT and mobile clouds - Beyond technology: Cloud business and legal implications, such as security, privacy, trust and accountability especially in utility contexts

Important Dates Full paper regular submission due: January 31, 2016 (Papers will be assigned for review as soon as it is received by the journal) Notification of results: April 15, 2016 (Review and notification will be handled in ongoing basis till the deadline) Revision due: May 15, 2016 Notification of final acceptance: June 15, 2016 Submission of final revised paper: July 15, 2016 Submission This special issue seeks submission of papers that present "new" ideas for the first time in IEEE TCC, and welcomes submission of "extended version" of the best selected papers of top Cloud Computing conferences, recommended by the guest editors and IEEE TCC AEs. All submissions including invited papers go under regular TCC peer review process. Submitted articles must not have been previously published or currently submitted for publication elsewhere. Submissions must be directly submitted via the IEEE TCC submission web site at https://mc.manuscriptcentral.com/tcc-cs, and must follow instructions for formatting and length listed there. For additional information, please contact Robert C. H. Hsu (chh@chu.edu.tw) or Manish Parashar (parashar@rutgers.edu) Editor-in-Chief Irena Bojanova, University of Maryland University College, USA Guest Editors Manish Parashar, Rutgers University, USA Omer Rana, Cardiff University, UK Robert C. H. Hsu, Chung Hua University, Taiwan

Guest editors short Bio: Manish Parashar is Professor of Computer Science at Rutgers, The State University of New Jersey University. He is also the founding Director of the Rutgers Discovery Informatics Institute (RDI2), the Cloud and Autonomic Computing Center (CAC) NSF IUCRC at Rutgers (CAC@Rutgers) and the The Applied Software Systems Laboratory (TASSL), Full Member (Clinical Investigations and Precision Therapeutics Program) of the Rutgers Cancer Institute of New Jeresy, and is Associate Director of the Rutgers Center for Information Assurance (RUCIA). He is currenty serving as the Interim Associate Vice President of Research Computing and (with Prof. H. Berman) overseeing the establishment of the Rutgers Office of Advanced Research Computing (OARC). He also has a Joint Faculty Appointment with Oak Ridge National Laboratory (ORNL). Between 2009 -- 2011, he served as Program Director in the Office of Cyberinfrastructure (OCI) at the National Science Foundation (NSF), where he managed an approximately $150 Million research portfolio in the areas of software sustainability, computational and data-enabled science and engineering and cloud computing. At NSF, he established and led the crosscutting Software Infrastructure for Sustained Innovation (SI2) program, the CI TraCS Computational Science Fellowship programs, was involved in establishing the Computing in the Cloud (CiC) program, and worked on the NSF-wide Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) initiative. His research interests are in the broad area of Parallel and Distributed Computing with a focus on Computational and Data-Enabled Science and Engineering. Manish has held a visiting position at the escience Institute at Edinburgh, UK (2009-2010), a joint research appointment with the Center for Subsurface Modeling, The University of Texas at Austin (1996-2006), and a visiting position at the Laboratoire d'informatique en Images et Systemes d'information (LIRIS), Lyon France. He has also been a visiting fellow at the Department of Computer Science and DOE ASCI/ASAP Center, California Institute of Technology (2000-2001), at the DOE ASCI/ASAP FLASH Center, University of Chicago (1998), and at the Max-Plank Institute in Potsdam, Germany (1994-1998). Manish received a 2013 R & D 100 Award (with ORNL and GATech), IBM Faculty Awards in 2008 and 2010, the Tewkesbury Fellowship from University of Melbourne, Australia (2006), the Rutgers Board of Trustees Award for Excellence in Research (The Award) (2004-2005), the NSF CAREER Award (1999), TICAM (now ICES) (University of Texas at Austin) Distinguished Fellowship (1999-2001), and the Enrico Fermi Scholarship, Argonne National Laboratory (1996). He is a Fellow of IEEE / IEEE Computer Society, and ACM Distinguished Scientist. Manish serves on the editorial boards and organizing committees of a large number of journals and international conferences and workshops. He has also served as a panelist for NSF, DoE and other national and international funding agencies, and regularly reviews technical articles for journals and conferences. At Rutgers, he service in leadership roles on various, University, School and Department level committees and is actively involved in curriculum development, specially in the area of applied parallel and distributed computing and computational and data-intensive computing. Manish has co-authored a large number technical publications including paper in international journals and conferences, invited papers and presentations and book chapters (Parashar@GoogleScholar). He has also coauthored/edited books, conference proceedings and journal special issues and has presented large number of keynotes and distinguished seminars. He has developed and deployed several software systems that are widely used, including CometCloud, and DataSpaces/DIMES/DART.

Manish received a BE degree in Electronics and Telecommunications from Bombay University, India, and MS and Ph.D. degrees in Computer Engineering from Syracuse University. Omer Rana is Professor of Performance Engineering at Cardiff School of Computer Science & Informatics. He was formerly the deputy director of the Welsh escience Centre at Cardiff University -- where he had an opportunity to collaborate with a number of scientists working in computational science and engineering. He holds a PhD in "Neural Computing and Parallel Architectures" from Imperial College, London University in the UK. His research interests are in the areas of high performance distributed computing, data mining and analysis and multi-agent systems. Prior to joining Cardiff University he worked as a software developer with Marshall BioTechnology Limited in London, working on projects with a number of international biotech companies, such as Merck, Hybaid and Amersham International. He has been involved in the Distributed Programming Abstractions and the 3DPAS themes at the UK National escience Institute. He is an associate editor of the ACM Transactions on Autonomous and Adaptive Systems, IEEE Transactions on Cloud Computing, series co-editor of the book series on "Autonomic Systems" by Birkhauser publishers, and on the editorial boards of "Concurrency and Computation: Practice and Experience" (John Wiley) & Journal of Computational Science (Elsevier), the Journal of Computational Science (Elsevier) and the recently launched IEEE Cloud Computing magazine. Along with his coresearchers, he was recipient of the best paper award at CLOSER 2013 (Aachen, Germany). Professor Robert C. H. Hsu is a professor in department of computer science and information engineering at Chung Hua University, Taiwan; and distinguished chair professor in school of computer and communication engineering at Tianjin University of Technology, China. His research includes high performance computing, cloud computing, parallel and distributed systems, ubiquitous/pervasive computing and intelligence. He has published 200 papers in refereed journals, conference proceedings and book chapters in these areas. Dr. Hsu is the editor-in-chief of international journal of Grid and High Performance Computing, and international journal of Big Data Intelligence; and serving as editorial board for a number of prestigious journals, including IEEE Transactions on Service Computing, IEEE Transactions on Cloud Computing, etc. He has been acting as an author/co-author or an editor/co-editor of 10 books from Springer, IGI Global, World Scientific and McGraw-Hill. He has also edited a number of special issues at top journals, such as IEEE Transactions on Cloud Computing, IEEE Transactions on Services Computing, IEEE System Journal, Future Generation Computer Systems, Journal of Supercomputing, International Journal of Communication Systems, Automated Software Engineering, Journal of System Architecture, Concurrency and Computation: Practice and Experience, The Knowledge Engineering Review, Internet Research, Information System Frontiers, etc. He was awarded eight times distinguished award for excellence in research and annual outstanding research award through 2005 to 2014 from Chung Hua University, Taiwan. He has been serving as executive committee of Taiwan Association of Cloud Computing (TACC) from 2008-2012; executive committee of the IEEE Technical Committee of Scalable Computing (2008-2012); supervisor of IET Taiwan (2014- present). He is elected member of the Phi Tau Phi Scholastic honor society; IEEE senior member; regional

director of the Future Technology Research Association (FTRA); and standing director of Taiwan Association of Cloud Computing (TACC).