A Scalable Stream-Oriented Framework for Cluster Applications

Simple item page
dc.creatorArgyros, Tassos S.
dc.creatorCheriton, David R.
dc.date2005-04-13
dc.date.accessioned2026-07-07T03:22:50Z
dc.date.available2026-07-07T03:22:50Z
dc.descriptionThis paper presents a stream-oriented architecture for structuring cluster applications. Clusters that run applications based on this architecture can scale to tenths of thousands of nodes with significantly less performance loss or reliability problems. Our architecture exploits the stream nature of the data flow and reduces congestion through load balancing, hides latency behind data pushes and transparently handles node failures. In our ongoing work, we are developing an implementation for this architecture and we are able to run simple data mining applications on a cluster simulator.
dc.identifierhttps://arxiv.org/abs/cs/0504051
dc.identifierhttp://arxiv.org/abs/cs/0504051
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32710
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectDatabases
dc.subjectNetworking and Internet Architecture
dc.subjectOperating Systems
dc.subjectProgramming Languages
dc.titleA Scalable Stream-Oriented Framework for Cluster Applications
dc.typetext

Files

Collections

arXiv