Abstract
Cloud computing has become an exciting multidisciplinary research field, where different computing paradigms and technologies coexist. However, its multi-disciplinary and multiparadigmatic nature has raised questions and challenges in achieving and leveraging full potential and expectations of use of Cloud computing systems. Among such interesting frontiers there is the “Intelligent Cloud Services and Systems”, whereby Cloud Services are equipped with robust and intelligent mechanisms that enable them to respond to external input and users in an autonomic, smart self-healing manner. This special issue focuses on research issues and challenges on the interplay between intelligent Cloud Services and Cloud Systems, whereby Cloud Systems comprise of the entire ecosystem of entities in Cloud computing such as Cloud broker, Cloud registry, Cloud composer, and could be made up of multiple Clouds. Additionally papers in the special issues explored the use and deployment of intelligent cloud services as a means to manage big data applications to offer new functionalities and advanced user-centric services. The special issue received 28 submissions from an open call and extended papers selected from the 28th IEEE AINA 2014, 13th–16th May 2014, Victoria, Canada (http://www.ainaconference.org/2014/). The IEEE International Conference on Advanced Information Networking and Applications is a major annual international conference sponsored by the Technical Committee of Distributed Processing (TCDP) of the IEEE Computer Society. After a careful review, nine high quality papers were accepted for this special issue. The papers of the special issue are arranged as follows. In the first paper, Leu et al. “Pareto-based Cache Replacement Algorithms for YouTube” deal with some issues in distributed memory caching system used in Youtube. The authors propose an approach to classify videos into popular and unpopular videos through two cache replacement algorithms based on the Pareto principle, namely, Pareto-based Least Frequently Used algorithm (PLFU), and the Pareto-based Least Recently Used algorithm (PLRU). The World Wide Web (2015) 18:1519–1521 DOI 10.1007/s11280-015-0338-0
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