High-Performance Cloud Computing: A View of Scientific Applications

By Christian Vecchiola, Suraj Pandey, Rajkumar Buyya. International Symposium on Pervasive Systems, Algorithms, and Networks, 2009

472 citations recorded by the source corpus.

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the Cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/5b9c21826a213857fbfe91f42ee423e0ad0af32b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Giuseppe Aceto
2. Antonio Pescapè
3. Alessio Botta
4. Walter de Donato
5. S. Geetha
6. Shiramshetty Gouthami

In Information Systems

1. Antonio Pescapè
2. Giuseppe Aceto
3. Alessio Botta
4. Walter de Donato

Citations in the corpus

• CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications (2010, unknown): “VmLoadBalancer.”
• Cloud monitoring: A survey (2013, methodology): “Most of these works can be located at the application layer [62,72,75,76,67] because they used custom applications running in the Cloud.”