Abstract
CCSA workshop has been formed to promote research and development activities focused on enabling and scaling scientific applications using distributed computing paradigms, such as cluster, Grid, and Cloud Computing. With the rapid emergence of virtualized environments for accessing software systems and solutions, the volume of users and their data are growing exponentially. According to the IDC, by 2020, when the ICT industry reaches $5 billion - $1.7 billion larger than it is today - at least 80% of the industry’s growth will driven by 3rd platform technologies, such as cloud services and big data analytics. Existing computing infrastructure, software system designs, and use cases will have to take into account the enormity in volume of requests, size of data, computing load, locality and type of users, and every growing needs of all applications. Cloud computing promises reliable services delivered through next-generation data centers that are built on compute and storage virtualization technologies. Users will be able to access applications and data from a Cloud anywhere in the world on demand. In other words, the Cloud appears to be a single point of access for all the computing needs of users. The users are assured that the Cloud infrastructure is robust and will always be available at any time. To address the growing needs of both applications and Cloud computing paradigm, CCSA brings together researchers and practitioners from around the world to share their experiences, to focus on modeling, executing, and monitoring scientific applications on Clouds. In this workshop, there were 20 submissions. The committee decided to accept 7 papers. The program also includes 1 invited talk as a keynote.
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Pandey, S., Nepal, S. (2014). Introduction to the 3rd International Workshop on Cloud Computing and Scientific Applications (CCSA’13). In: Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandić, I. (eds) Service-Oriented Computing – ICSOC 2013 Workshops. ICSOC 2013. Lecture Notes in Computer Science, vol 8377. Springer, Cham. https://doi.org/10.1007/978-3-319-06859-6_25
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DOI: https://doi.org/10.1007/978-3-319-06859-6_25
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