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High Performance and Grid Computing in the Cloud

New Discussion Group on Enhancing Grid and HPC with Cloud Computing

The HPCcloud discussion group has been created in order to address the growing interest in High Performance Computing and Grid Computing in the Cloud. The purpose of this group is to present experiences and scenarios by individuals, organizations and projects to illustrate how Cloud computing can enhance the different types of distributed and high performance computing infrastructures in science and engineering. The group covers the following aspects about innovative potential, benefits and challenges of new Cloud technologies and services in High Performance Computing (HPC) and Grid Computing research and business:

  • Cultural, security, political and legal barriers to implementing Cloud provisioning models in HPC and Grid environments
  • Architectures for integration of Cloud technologies and services with HPC and Grid infrastructures
  • Standardization of interactions between HPC and Grid platforms and Cloud infrastructures
  • Limitations of existing Cloud services and technologies for the capability and capacity computing demands of the HPC and Grid communities in the execution of both tightly-coupled HPC and loosely-coupled HTC applications
  • HPC Clouds offering platforms with HPC devices and configurations, and Scientific Clouds offering specific services for the scientific and technical computing community
  • Impact of virtualization on the performance of memory, CPU and I/O intensive, and latency sensitive applications, and virtualization support for specialized communication transports
  • Service and infrastructure scalability and elasticity management for the efficient execution of virtualized HPC and Grid platforms
  • Challenges of porting HPC applications to the Cloud and new computing paradigms for HPC on Cloud

You are invited to use this group to promote your events related to HPC and/or Grid Computing in the Cloud.

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More Stories By Ignacio M. Llorente

Ignacio M. Llorente, Ph.D in Computer Science and Executive MBA, is a Full Professor in Computer Architecture and Technology, and the Head of the Distributed Systems Architecture Research Group at Complutense University of Madrid. He has held several appointments as an independent expert for the European Commission (Information Society and Media Directorate-General); visiting positions at the Institute for Computer Applications in Science and Engineering (NASA Langley Research Center, Hampton, VA); consultancy positions with Sun Microsystems; and a Senior Researcher position in the Advanced Computing Lab at CAB (associated to NASA Astrobiology Institute). He has 17 years of experience in research and development of advanced distributed computing and virtualization technologies, architecture of large-scale distributed infrastructures and resource provisioning platforms, and management of international projects and initiatives on Grid and Cloud computing; having led the research group in 15 sponsored projects; and having published more than 130 scientific papers in the leading journals and proceedings books. He is currently co-leading the research and development of the OpenNebula Virtual Infrastructure Engine, the Globus GridWay Metascheduler, and the Grid4Utility initiative for federation of Grids. He participates in the EGEE and BEinGRID European projects, as UCM partner responsible, and in the Globus Alliance, as chair of one of its projects; and coordinates the Activity on Management of Virtual Execution Environments in the RESERVOIR Project, main EU-funded research initiative in virtualized infrastructures and cloud computing. He is the Grid Community Liaison Coordinator for the Service Oriented Infrastructure Working Group of NESSI; and co-chairs the OGF Working Group on Open Cloud Computing Interface. He coordinates the Middleware Activity in the Spanish Initiative in e-Science and the Working Group on Service Oriented Infrastructures and Grids of INES.