Rapid advances in architectures, networks, and systems and middleware technologies are leading to new concepts and platforms for computing, ranging from Clusters and Grids to Clouds and Datacenters. The 14th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2014) is a forum bringing together international researchers, developers, and practitioners to present leading research activities and results on a broad range of topics related to these concepts and platforms,<br>and their applications. The conference features keynotes, technical presentations, workshops, tutorials, and posters, as well as the SCALE challenge featuring live demonstrations.<br>In 2014, CCGrid will return to the USA and be held in Chicago, the third largest city in the United States located on the southwest shore of Lake Michigan. Chicago offers two major airports with direct flights available worldwide including Chicago O′Hare International Airport and Chicago Midway International Airport. Weather in Chicago in late May averages 70–74 degrees Fahrenheit (21–23 degrees Celsius). The main conference will be held on May 27–29, 2014, with tutorials and affiliated workshops taking place on May 26, 2014.<br>CCGrid 2014 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud and grid computing. Topics of interest include, but are not limited to:<br>Applications and Experiences: Applications to real and complex problems in science, engineering, business, and society; user studies; experiences with large–scale deployments, systems, or applications<br>Architecture and Accelerators: Design and use of emergent system architectures including but not limited to accelerators; multicores; power and cooling; security and reliability; high availability solutions<br>Autonomic Computing and Cyberinfrastructure: Self–managed behavior, models and technologies; autonomic paradigms and systems (control–based, bio–inspired, emergent, etc.); bio–inspired optimizations and computing<br>Cloud Computing: Development, evaluation, and optimization of cloud architectures; software tools and techniques for clouds<br>Modeling and Evaluation of Performance and Energy: Prediction, modeling, and analysis; monitoring and evaluation tools; benchmarks and testbeds<br>Programming Models, Systems, and Fault–Tolerant Computing: Programming models, systems software and environments for cluster, cloud, and grid computing; fault–tolerant systems, programs and algorithms<br>Scheduling and Resource Management: Techniques to schedule jobs and resources on cluster, cloud, and grid computing platforms; SLA definition and enforcement<br>Storage and I/O Systems: System design and optimization for big data processing in cluster and cloud environment<br>
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IEEE/ACM CCGrid
City
Chicago
Country
United States
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