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» Scalable Planning for Distributed Stream Processing Systems
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HPDC
2010
IEEE
15 years 29 days ago
Scalability of communicators and groups in MPI
As the number of cores inside compute clusters continues to grow, the scalability of MPI (Message Passing Interface) is important to ensure that programs can continue to execute o...
Humaira Kamal, Seyed M. Mirtaheri, Alan Wagner
IPPS
2009
IEEE
15 years 6 months ago
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
The use of asymmetric multi-core processors with onchip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise...
M. Mustafa Rafique, Benjamin Rose, Ali Raza Butt, ...
AP2PC
2003
Springer
15 years 5 months ago
G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networ
Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabi...
Aris M. Ouksel, Gianluca Moro
GRID
2006
Springer
14 years 12 months ago
YA: Fast and Scalable Discovery of Idle CPUs in a P2P network
Discovery of large amounts of idle CPUs in fully distributed and shared Grid systems is needed in relevant applications and is still a challenging problem. In this paper we present...
Javier Celaya, Unai Arronategui
ICDE
2012
IEEE
216views Database» more  ICDE 2012»
13 years 2 months ago
Load Balancing in MapReduce Based on Scalable Cardinality Estimates
—MapReduce has emerged as a popular tool for distributed and scalable processing of massive data sets and is increasingly being used in e-science applications. Unfortunately, the...
Benjamin Gufler, Nikolaus Augsten, Angelika Reiser...