Changes for document Session Open Source Cloud

From version 13.1
edited by Catherine Nuel
on 2012/10/23 15:17
To version 14.1
edited by Selvalakshmi R
on 2012/10/29 10:34
Change comment: There is no comment for this version
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Document author Catherine Nuel Selvalakshmi R
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**Schedule**: Wednesday Nov 28, 02:15 - 02:30pm
**Schedule**: Wednesday Nov 28, 02:30 - 02:45pm
**Schedule**: Wednesday Nov 28, 02:45 - 03:00pm
**Schedule:****Schedule**: Wednesday Nov 28, 03:00 - 03:15pm
===== UShareSoft =====
**Schedule**: Wednesday Nov 28, 03:15 - 03:30pm
**Speaker**: Alban Richard, UShareSoft
**Abstract**:
===== VENUS-C: lessons learned of using open source clouds in eScience =====
**Schedule**: Wednesday Nov 28, 03:30 - 03:45pm
**Speaker**: Andrea Manieri, Engineering Group
**Abstract**: VENUS-C is the first European distributed computing infrastructure to adopt a User-centric approach to Cloud Computing, putting the needs of end-User communities of researchers and small businesses at the forefront of development. A representative User community sample was composed by the 7 scenarios, the 15 pilots and the 5 experiments from eleven different disciplines and SMEs. Chief among the success stories is Green Prefab, a start-up company for architects and civil engineers, which hosts a new innovation cluster stemming from VENUS-C, HUB-Engineering (http://www.hub-e.com/). The VENUS-C Architecture Report describes the blueprint for the platform based on which a reference implementation has been done applying a rapid prototyping approach with interactive releases and User validation. The project publicly released open-source components (http://resources.venus-c.eu), namely: • Generic Worker (PMES (Process Management Enactment Services) and programming framework) • COMPSs (PMES and programming framework) • CDMI Proxy • Accounting and billing service • Traffic Redundancy Elimination (TRE) • Interoperability Toolkit As a result, it is clear that the adoption of Cloud and Virtualisation technologies and services is a win-win situation for the scientific community, as it releases benefits for both research institutions, industry.
**Schedule**: Wednesday Nov 28, 03:45 - 04:00pm
===== VENUS-C: lessons learned of using open source clouds in eScience =====
**Schedule**:
**Speaker**: Andrea Manieri, Engineering Group
**Abstract**: VENUS-C is the first European distributed computing infrastructure to adopt a User-centric approach to Cloud Computing, putting the needs of end-User communities of researchers and small businesses at the forefront of development. A representative User community sample was composed by the 7 scenarios, the 15 pilots and the 5 experiments from eleven different disciplines and SMEs. Chief among the success stories is Green Prefab, a start-up company for architects and civil engineers, which hosts a new innovation cluster stemming from VENUS-C, HUB-Engineering (http://www.hub-e.com/). The VENUS-C Architecture Report describes the blueprint for the platform based on which a reference implementation has been done applying a rapid prototyping approach with interactive releases and User validation. The project publicly released open-source components (http://resources.venus-c.eu), namely: • Generic Worker (PMES (Process Management Enactment Services) and programming framework) • COMPSs (PMES and programming framework) • CDMI Proxy • Accounting and billing service • Traffic Redundancy Elimination (TRE) • Interoperability Toolkit As a result, it is clear that the adoption of Cloud and Virtualisation technologies and services is a win-win situation for the scientific community, as it releases benefits for both research institutions, industry.
===== XLcloud: Remote rendering for games and 3D graphics applications in the cloud =====
**Schedule**:
**Speakers**: Patrick Petit, Bull & Marius Preda, Telecom SudParis
**Abstract**: The XLcloud project proposes a cutting-edge high performance cloud computing environment that enables low-latency remote rendering of 3D and complex 2D applications such as online gaming, cultural artifacts visualization and virtual body inspection in the cloud.
Many people refer to cloud computing as managing virtual machines that run on top of an hypervisor. However, in certain circumstances, using virtualization is not desirable when applications have stringent performance requirements or need access to devices that are not supported by hypervisors like GPUs for example.
However, it is still very convenient to utilize the features of a IaaS cloud such as instance management and image management for use cases that require the automated provisioning of a collection of cloud resources. As such, the main paradigm of XLcloud is based upon the ability to instantiate purpose-built virtual cluster instances that feature a collection of connected physical and virtual resources to support high-performance / low-latency video encoding and interactivity streaming artifacts.
The presentation of XLcloud will provide a description of the Remote Rendering Virtual Cluster architecture with a particular emphasis on server components that are designed to enable a highly pervasive environment allowing end-users to run their 3D applications anywhere on any device. In addition, we will describe a low computational method to perform ROI-based (Region Of Interest) video encoding and adaptive streaming as well as a multi-modal representation of the images and videos (i.e. pixel vs graphics) to reduce the bit rate requirements. Finally, we will conclude with a short description of a partitioning algorithm and some implementation details.
**Schedule**: Wednesday Nov 28, 04:15 - 04:30pm
**Speaker**:
**Abstract**:
**Schedule**: Wednesday Nov 28, 04:30 - 04:45pm
===== UShareSoft =====
**Schedule**:
**Speaker**: Alban Richard, UShareSoft
**Abstract**:
**Schedule**: Wednesday Nov 28, 04:45 - 05:00pm
===== XLcloud: Remote rendering for games and 3D graphics applications in the cloud =====
**Schedule**: Wednesday Nov 28, 05:00 - 05:15pm
**Speakers**: Patrick Petit, Bull & Marius Preda, Telecom SudParis
**Abstract**: The XLcloud project proposes a cutting-edge high performance cloud computing environment that enables low-latency remote rendering of 3D and complex 2D applications such as online gaming, cultural artifacts visualization and virtual body inspection in the cloud.
Many people refer to cloud computing as managing virtual machines that run on top of an hypervisor. However, in certain circumstances, using virtualization is not desirable when applications have stringent performance requirements or need access to devices that are not supported by hypervisors like GPUs for example.
However, it is still very convenient to utilize the features of a IaaS cloud such as instance management and image management for use cases that require the automated provisioning of a collection of cloud resources. As such, the main paradigm of XLcloud is based upon the ability to instantiate purpose-built virtual cluster instances that feature a collection of connected physical and virtual resources to support high-performance / low-latency video encoding and interactivity streaming artifacts.
The presentation of XLcloud will provide a description of the Remote Rendering Virtual Cluster architecture with a particular emphasis on server components that are designed to enable a highly pervasive environment allowing end-users to run their 3D applications anywhere on any device. In addition, we will describe a low computational method to perform ROI-based (Region Of Interest) video encoding and adaptive streaming as well as a multi-modal representation of the images and videos (i.e. pixel vs graphics) to reduce the bit rate requirements. Finally, we will conclude with a short description of a partitioning algorithm and some implementation details.
**Schedule**: Wednesday Nov 28, 05:15 - 05:30pm
**Schedule**:**Schedule**:Wednesday Nov 28, 05:30 - 05:45pm
Oo ps!

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