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6 papers · 1 filter
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the exe…
Using Meta-heuristics and Machine Learning for Software Optimization of Parallel Computing Systems: A Systematic Literature Review
Suejb Memeti, Sabri Pllana, Alecio Binotto +2
While modern parallel computing systems offer high performance, utilizing these powerful computing resources to the highest possible extent demands advanced knowledge of various ha…
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22
The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured…
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues +2
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research effo…
Big Data Computing and Clouds: Trends and Future Directions
Marcos D. Assuncao, Rodrigo N. Calheiros, Silvia Bianchi +2
This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data,…
Patience-aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom
Carlos Cardonha, Marcos D. Assunção, Marco A. S. Netto +2
Scheduling of service requests in Cloud computing has traditionally focused on the reduction of pre-service wait, generally termed as waiting time. Under certain conditions such as…