Abstract
There is a growing trend for the convergence of different computing paradigms, such as cloud computing, pervasive and mobile computing, and service-oriented computing. The applications of Internet of Things (IoT), Internet of Services (IoS), Internet of People (IoP) at a large scale are gaining increasing attention in the converged computing world with unprecedented complexities as a result: the management of applications becomes much more difficult due to large number of involved devices, events and contexts, due to the heterogeneity of networking, hardware and software; the shifting of storage and processing to cloud systems, and security and privacy concerns become more challenging. All in all, applications and systems tend to become more complex than before to manage and operate in the converged world. These challenges call for useful self-managing capabilities to alleviate existing problems. The realization of self-managing pervasive service systems needs cross-discipline research, including pervasive and mobile computing, autonomic computing, artificial intelligence, cloud computing, software engineering, service oriented computing, which are complementary with and often cross-fertilizing each other.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, W., Hansen, K.M., Bellavista, P. (2013). The 1st International Workshop on Self-Managing Pervasive Service Systems (SeMaPS 2012). In: Ghose, A., et al. Service-Oriented Computing - ICSOC 2012 Workshops. ICSOC 2012. Lecture Notes in Computer Science, vol 7759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37804-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-37804-1_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37803-4
Online ISBN: 978-3-642-37804-1
eBook Packages: Computer ScienceComputer Science (R0)