2012 Proceeding- General Chairs:
- Yogesh Simmhan,
- Gabriel Antoniu,
- Carole Goble,
- Program Chair:
- Lavanya Ramakrishnan
It is our great pleasure to welcome you to the 2012 ACM Workshop on Scientific Cloud Computing -- ScienceCloud'12. This year's workshop continues its tradition of being the premier forum for discussion and presentation on the use of Cloud-based technologies to meet the needs of computational and data driven sciences. The mission of the workshop is to share new research, development, and deployment efforts in novel scientific computing workloads on Cloud infrastructures and platforms, to meet challenges that are not well served by the current supercomputers, Grids and HPC clusters. ScienceCloud offers researchers and practitioners a unique opportunity to share their perspectives on the state-of-the-art and future directions of Cloud computing for data-driven sciences, and highlight its role in solving grand challenges of scientific and social significance.
The call for papers attracted 12 submissions from across the world and the program committee accepted 7 papers that cover a variety of topics, including provisioning of scientific workloads, evaluation of Clouds for HPC applications, and Cloud platforms for gaming. In addition, the program includes a panel on "Science Cloud Experiences: Sunny, Cloudy or Rainy?", and a keynote talk by Prof. Paul Watson on "Cloud Computing for Social Inclusion". We hope that these proceedings will serve as a valuable reference for researchers and developers of Clouds and scientific applications.
Proceeding Downloads
Cloud computing for social inclusion: keynote talk
Social Inclusion through the Digital Economy (SiDE) is a £12M project investigating how advanced technologies can be used to improve the lives of those from vulnerable groups including older people, disabled people, and marginalised youth. New digital ...
Middleware alternatives for storm surge predictions in Windows Azure
Cloud computing is a resource of significant value to computational science, but has proven itself to be not immediately realizable by the researcher. The cloud providers that offer a Platform-as-a-Service (PaaS) platform should, in theory, offer a ...
Accelerate large-scale iterative computation through asynchronous accumulative updates
Myriad of data mining algorithms in scientific computing require parsing data sets iteratively. These iterative algorithms have to be implemented in a distributed environment to scale to massive data sets. To accelerate iterative computations in a large-...
Game cloud design with virtualized CPU/GPU servers and initial performance results
Cloud gaming provides game-on-demand (GoD) services over the Internet cloud. The goal is to achieve faster response time and higher QoS. The video game is rendered remotely on the game cloud and decoded on thin client devices such as a tablet computer ...
Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control
Elasticity is the ability of a cloud infrastructure to dynamically change the amount of resources allocated to a running service as load changes. We build an autonomous elasticity controller that changes the number of virtual machines allocated to a ...
Performance evaluation of Amazon EC2 for NASA HPC applications
- Piyush Mehrotra,
- Jahed Djomehri,
- Steve Heistand,
- Robert Hood,
- Haoqiang Jin,
- Arthur Lazanoff,
- Subhash Saini,
- Rupak Biswas
Cloud computing environments are now widely available and are being increasingly utilized for technical computing. They are also being touted for high-performance computing (HPC) applications in science and engineering. For example, Amazon EC2 Services ...
Efficient storage of virtual machine images
Allowing users to build custom virtual machines as execution environments for their tasks provides flexibility for users and providers of Infrastructure-as-a-Service Clouds or virtualized Grid computing environments. On the downside of this flexibility ...
Science clouds experiences: sunny, cloudy or rainy?
Cloud computing has been traditionally used for Internet workloads. In the last three years, we have seen a significant use of clouds for addressing the needs of scientific applications. This panel will capture the experiences to date and identify ...
Projecting disk usage based on historical trends in a cloud environment
Provisioning scarce resources among competing users and jobs remains one of the primary challenges of operating large-scale, distributed computing environments. Distributed storage systems, in particular, typically rely on hard operator-set quotas to ...
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| ScienceCloud '19 | 106 | 22 | 21% |
| ScienceCloud '16 | 8 | 4 | 50% |
| ScienceCloud '15 | 6 | 3 | 50% |
| ScienceCloud '14 | 17 | 8 | 47% |
| Science Cloud '13 | 14 | 7 | 50% |
| Overall | 151 | 44 | 29% |