High Performance Computing Meets Grid and Cloud Computing In Hybrid Computing

Abstract

We analyze a hybrid High Performance Computing (HPC) infrastructure architecture that provides predictable execution of scientific applications, and scales from a single resource to multiple resources, with different ownership, policy, and geographic locations. Identify three paradigms in the evolution of HPC and high-throughput computing: owner-centric HPC (traditional), Grid computing, and Cloud computing. Describe the concept of Elastic Cluster and show how it can be used to achieve effective and predictable execution of HPC workloads. Then we discuss Implementation aspects, and propose a new distributed information system design that combines features of distributed hash tables and relational databases.

Authors and Affiliations

Mohana Nagalakshmi. B

Keywords

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  • EP ID EP20148
  • DOI -
  • Views 240
  • Downloads 4

How To Cite

Mohana Nagalakshmi. B (2015). High Performance Computing Meets Grid and Cloud Computing In Hybrid Computing. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(4), -. https://europub.co.uk/articles/-A-20148