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VGRIS: virtualized GPU resource isolation and scheduling in cloud gaming
TLDR
We propose VGRIS, a resource management framework for Virtualized GPU Resource Isolation and Scheduling in cloud gaming. Expand
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Adaptive Power Management through Thermal Aware Workload Balancing in Internet Data Centers
TLDR
We propose an adaptive power control method which leverages the correlation between the power consumption of servers and CRACs to solve the power control problem. Expand
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Online decentralized adaptive optimal controller design of CPU utilization for Distributed Real-Time Embedded systems
TLDR
We propose a new decentralized optimal controller design for CPU utilization to address this problem. Expand
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vGASA: Adaptive Scheduling Algorithm of Virtualized GPU Resource in Cloud Gaming
TLDR
We propose vGASA, a virtualized GPU resource adaptive scheduling algorithm in cloud gaming that mitigates the impact of runtime uncertainties on the system performance. Expand
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MDev-NVMe: A NVMe Storage Virtualization Solution with Mediated Pass-Through
TLDR
The fast access to data and high parallel processing in high-performance computing instigates an urgent demand on the I/O improvement of the NVMe storage within datacenters. Expand
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Curcumin attenuates doxorubicin-induced cardiotoxicity via suppressing oxidative stress and preventing mitochondrial dysfunction mediated by 14-3-3γ.
Doxorubicin (Dox) induces cardiotoxicity, thereby limiting its clinical application for chemotherapy of cancer. The mechanism of cardiotoxicity includes the production of excess intracellular ROS.Expand
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Differential Privacy in Telco Big Data Platform
TLDR
This paper makes the first attempt to implement three basic DP architectures in the deployed telecommunication (telco) big data platform for data mining applications. Expand
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System-level calibration for data fusion in wireless sensor networks
TLDR
We propose a two-tier system-level calibration approach for a class of sensor networks that employ data fusion to improve the sensing performance. Expand
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Dynamic Control of Electricity Cost with Power Demand Smoothing and Peak Shaving for Distributed Internet Data Centers
TLDR
We study the dynamic control of electricity cost to provide low volatility in power demand and shaving of power peaks for distributed Internet data centers based on the Locational Marginal Pricing policy. Expand
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Reduced dimension control based on online recursive principal component analysis
TLDR
In this paper, we introduce a generic approach for reduced dimension control (RDC) that combines online selection of critical control knobs through online recursive principal component analysis (ORPCA) and adaptive control of the identified knobs. Expand
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