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» Statistics-driven workload modeling for the Cloud
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EUROSYS
2010
ACM
14 years 3 months ago
Q-Clouds: Managing Performance Interference Effects for QoS-Aware Clouds
Cloud computing offers users the ability to access large pools of computational and storage resources on demand. Multiple commercial clouds already allow businesses to replace, or...
Ripal Nathuji, Aman Kansal, Alireza Ghaffarkhah
MASCOTS
2010
13 years 7 months ago
EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations
Subtle implementation errors or mis-configurations in complex Internet services may lead to performance degradations without causing failures. These undiscovered performance anomal...
Christopher Stewart, Kai Shen, Arun Iyengar, Jian ...
OTM
2010
Springer
13 years 4 months ago
On the Expressiveness and Trade-Offs of Large Scale Tuple Stores
Massive-scale distributed computing is a challenge at our doorstep. The current exponential growth of data calls for massive-scale capabilities of storage and processing. This is b...
Ricardo Vilaça, Francisco Cruz, Rui Carlos ...
HPCC
2009
Springer
13 years 11 months ago
Resource Leasing and the Art of Suspending Virtual Machines
Using virtual machines as a resource provisioning mechanism offers multiple benefits, most recently exploited by “infrastructure-as-a-service” clouds, but also poses several...
Borja Sotomayor, Rubén S. Montero, Ignacio ...
VEE
2012
ACM
232views Virtualization» more  VEE 2012»
12 years 1 months ago
DVM: towards a datacenter-scale virtual machine
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenterscale programming has become an imperative research age...
Zhiqiang Ma, Zhonghua Sheng, Lin Gu, Liufei Wen, G...