- General Chairs:
- Kyle Chard,
- Alexandru Costan,
- Bogdan Nicolae,
- Lavanya Ramakrishnan
It is our pleasure to welcome you to the 6th Workshop on Scientific Cloud Computing (ScienceCloud). ScienceCloud continues to provide the scientific community with the premier forum for discussing new research, development, and deployment efforts in hosting scientific computing workloads on cloud computing infrastructures. The focus of the workshop is on the use of cloud-based technologies to meet new compute-intensive and data-intensive scientific challenges that are not well served by the current supercomputers, grids and HPC clusters. ScienceCloud provides a unique opportunity for interaction and cross-pollination between researchers and practitioners developing applications, algorithms, software, hardware and networking, emphasizing scientific computing for such cloud platforms.
The call for papers attracted submissions from across the world. The program committee reviewed and accepted three of six full paper submissions (50%) and three of four short paper submissions (75%).
We are delighted to include a keynote and panel involving leading scientific cloud computing researchers. We encourage attendees to attend these presentations:
Challenges of Running Scientific Workflows in Cloud Environments, Ewa Deelman (Information Sciences Institute, University of Southern California)
Real-time Scientific Data Stream Processing, Manish Parashar (Rutgers, the State University of New Jersey), Doug Thain (University of Notre Dame), Ioan Raicu (Illinois Institute of Technology), Rui Zhang (IBM Research)
Proceeding Downloads
Challenges of Running Scientific Workflows in Cloud Environments
This talk will touch upon the challenges of running scientific workflows in distributed environments such as academic and commercial clouds. It will describe the Pegasus Workflow Management System [1] and how it manages the execution of a variety of ...
Scaling VM Deployment in an Open Source Cloud Stack
Interactive High Performance Computing (HPC) workloads take advantage of the elasticity of clouds to scale their computation based on user demand by dynamically provisioning virtual machines during their runtime. As in this case users require the ...
Architecting a Persistent and Reliable Configuration Management System
Streamlined configuration management plays a significant role in modern, complex distributed systems. Via mechanisms that promote consistency, repeatability, and transparency, configuration management systems (CMSes) address complexity and aim to ...
On Performance Resilient Scheduling for Scientific Workflows in HPC Systems with Constrained Storage Resources
Although the storage capacity is rapidly increasing, the size of datasets is also ever-growing, especially for those workflows in HPC that perform the parameter sweep studies. Consequently, the deadlock caused by the storage competition between ...
A Dynamically Scalable Cloud Data Infrastructure for Sensor Networks
As small, specialized sensor devices become more ubiquitous, reliable, and cheap, increasingly more domain sciences are creating "instruments at large" - dynamic, often self-organizing, groups of sensors whose outputs are capable of being aggregated and ...
Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms
Multi-tenant cloud infrastructures are increasingly used for high-performance and high-throughput domain science applications. Various cloud platforms, such as OpenStack and Amazon EC2, along with research efforts, such as NSF GENI and FutureGrid have ...
High-Performance Storage Support for Scientific Applications on the Cloud
Although cloud computing has become one of the most popular paradigms for executing data-intensive applications (for example, Hadoop), the storage subsystem is not optimized for scientific applications. We believe that when executing scientific ...
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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% |