Managing clusters of geographically distributed high-performance computers
✍ Scribed by Brune, Matthias; Gehring, Jörn; Keller, Axel; Reinefeld, Alexander
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 562 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1040-3108
No coin nor oath required. For personal study only.
✦ Synopsis
We present a software system for the management of geographically distributed highperformance computers. It consists of three components: 1. The Computing Center Software (CCS) is a vendor-independent resource management software for local HPC systems. It controls the mapping and scheduling of interactive and batch jobs on massively parallel systems; 2. The Resource and Service Description (RSD) is used by CCS for specifying and mapping hardware and software components of (meta-)computing environments. It has a graphical user interface, a textual representation and an object-oriented API; 3. The Service Coordination Layer (SCL) co-ordinates the co-operative use of resources in autonomous computing sites. It negotiates between the applications' requirements and the available system services.
📜 SIMILAR VOLUMES
an Analytical Overview Of The State Of The Art, Open Problems, And Future Trends In Heterogeneous Parallel And Distributed Computing this Book Provides An Overview Of The Ongoing Academic Research, Development, And Uses Of Heterogeneous Parallel And Distributed Computing In The Context Of Scientifi
In the recent decades we have witnessed a major revolution in the computer field. The major challenges posed by applications in fields of bioinformatics, earth sciences or weather forecasting, among others, have caused the proliferation of complex solutions, such as grid, cloud and highperformance c
Clusters and distributed systems offer two important advantages, viz. fault tolerance and high performance through load sharing. When all computers are up and running, we would like the load to be evenly distributed among the computers. When one or more computers break down the load on these compute
Networks of workstations and high-performance microcomputers have been rarely used for running parallel applications, because, although they have significant aggregate computing power, they lack the support for efficient message-passing and sharedmemory communication. In this paper we present Telegr
Modern networked computing environments and applications often require-or can benefit from-the use of multiple communication substrates, transport mechanisms, and protocols, chosen according to where communication is directed, what is communicated, or when communication is performed. We propose tech