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» Schedule optimization for data processing flows on the cloud
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DATE
2005
IEEE
133views Hardware» more  DATE 2005»
15 years 3 months ago
Locality-Aware Process Scheduling for Embedded MPSoCs
Utilizing on-chip caches in embedded multiprocessorsystem-on-a-chip (MPSoC) based systems is critical from both performance and power perspectives. While most of the prior work th...
Mahmut T. Kandemir, Guilin Chen
SECON
2010
IEEE
14 years 7 months ago
Transmission Scheduling for Routing Paths in Cognitive Radio Mesh Networks
Nodes in a cognitive radio mesh network may select from a set of available channels to use provided they do not interfere with primary users. This ability can improve overall netwo...
Brendan Mumey, Xia Zhao, Jian Tang, Richard S. Wol...
CLOUD
2010
ACM
15 years 2 months ago
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...
Dominic Battré, Stephan Ewen, Fabian Hueske...
SAMOS
2010
Springer
14 years 7 months ago
Power aware heterogeneous MPSoC with dynamic task scheduling and increased data locality for multiple applications
A new heterogeneous multiprocessor system with dynamic memory and power management for improved performance and power consumption is presented. Increased data locality is automatic...
Oliver Arnold, Gerhard Fettweis
NOMS
2010
IEEE
180views Communications» more  NOMS 2010»
14 years 8 months ago
Exploiting non-dedicated resources for cloud computing
—Popular web services and applications such as Google Apps, DropBox, and Go.Pc introduce a wasteful imbalance of processing resources. Each host operated by a provider serves hun...
Artur Andrzejak, Derrick Kondo, David P. Anderson