Many of today's scientific discoveries require extreme-scale data-intensive applications driven by very high levels of computational processing. E-science is a term often used to describe scientific research and discovery which involves international collaboration and one or more of the following characteristics; i) very large data sets, terabytes, petabytes, etc. ii) high-end computing resources, teraflops, super computers, cluster computing, etc., iii) remote instrumentation and sensors for data collection; and iv) powerful visualization tools for analysis. E-science scale research and engineering exists across the whole spectrum of disciplines: high energy physics, biology, environmental science, engineering and based on different scientific modes including remote sensor data collection, simulation and modeling based analysis, and remote instrumentation, just to name a few. The explosive growth of scientific data and its geographic distribution have rapidly overwhelmed our ability to manage, move, store, and analyze it. Wide-area networks connecting instruments, data archives, and simulation facilities have lacked the bandwidth and performance required to enable next-generation scientific discovery and support mission-critical, on-demand simulations.
These new applications coupled with Grid toolkits represent a paradigm shift in how applications interact with the network and Grid middleware. Applications. usage of the network often requires a near-real-time, or even real-time, information feedback loop on the available resources and intelligent decisions on how best to take advantage of these resources.
Grid computing requires specialized control planes with several unique attributes: i) application/user initiated optical end-to-end connection; ii) interaction with Grid resource performance and availability information; iii) interaction with Grid middleware for the coordination of compute resources with network resources; iv) interaction with higher layer protocols like transport layer. This requires researchers to take a step back and re-think the required behavior of the network within a Grid environment.
This single-track two-day workshop will provide researchers and technologists with a focused, highly interactive opportunity to present and discuss leading research, development and future directions in networks that are ideally suited to data-intensive grid applications. The second day will be devoted to international Grid networks and specific optical control plane research. Authors are invited to submit unpublished full papers for consideration. |
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The GridNets 2005 workshop will focus on research issues and challenges as well as lessons learned from experience. Topics of interest include and are not limited to:
- New concepts and requirements to shape the design of eScience and Research
Networks
- Integration of advanced optical networking technologies and architectures (OPS, OBS) for the Grid environment
- Coordination of network resources with other Grid resources (CPU, Storage)
- Layer interactions: optical layer with higher layer protocols
- Grid advanced resource reservation
- Self-healing Grid networks
- Traffic characteristics and performance analysis
- New architectures and technologies that address grid requirements
- Experience on production-level optical network infrastructures
- Middleware design and grid layer integration issues for accessing and managing
network resources
- Routing and scheduling for dynamic bandwidth control
- Monitoring, provisioning, brokering of network resources
- New multi-service frameworks and models
- End-to-end application level control of network resource
- Novel data transport protocols designed for new application services
- Data replication and multicasting strategies and protocols
- Fault-tolerance, protection, security, and scalability issues related to connecting large
number of sites
- Network cost, performance, and incentive issues
Paper Submission Deadline: June 15, 2005
Paper Acceptance Notification: August 1, 2005
Final paper submission: August 13, 2005
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