KEYNOTE 1: Human Factors in Trustworthy Intelligent Service-based Systems |
Stephen S. Yau
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About the Keynote Speaker |
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Abstract |
Over the past decade, the rapid advances and growth in service-based systems in various applications, such as health care, banking, online retailing, aerospace, social networks and homeland security, have had major impacts on the economy, society, and our daily lives. Today, users are accustomed to accessing various online services from a wide range of intelligent devices, from smart phones, tablets, TVs and air-conditioners to desktop PCs, for both business and entertainments. Such a trend means that more users' confidential information than ever is transmitted, processed and stored in intelligent service-based systems. This trend raises serious concerns on the trustworthiness of such systems. Substantial research has been devoted to developing security mechanisms, network protocols, and methods to improve the trustworthiness of intelligent systems. Human factors, however, have not been sufficiently addressed trustworthiness in intelligent service-based systems.
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KEYNOTE 2: Dependable Cloud Computing |
Vincenzo Piuri
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About the Keynote Speaker |
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Abstract |
Authors: M. Albanese1, S. Jajodia1, R. Jhawa2, Vincenzo Piuri2
Recent years have seen a growing interest among users in the migration of their applications to the Cloud computing environments. However, due to high complexity, Cloud-based services often experience a large number of failures and security breaches, and, consequently, impose numerous challenges on the dependability of users' applications.
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KEYNOTE 3: Programming Support for Heterogeneous Many-core Architectures |
Siegfried Benkner
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About the Keynote Speaker |
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Abstract |
With the shift towards heterogeneous many-core architectures comprised of conventional multi-core CPUs, GPUs, and other types of accelerators, the challenges of parallel programming will sharply rise. Research in high-level programming methodologies, compilation and runtime technologies, as well as in automatic performance tuning will be crucial in order to cope with the ever-increasing complexity of programming such architectures.
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