Distributed Utilization Control for Real-Time Clusters with Load Balancing

Fu, Yong; Wang, Hongan; Lu, Chenyang; Chandra, R.S.

doi:10.1109/rtss.2006.20

Cited by 30 publications

(18 citation statements)

References 32 publications

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“…Wang et al in [67] developed a real-time utilization control middleware, which adopts task rate adaptation to handle variations in application workload and system resources. Fu et al in [22] focused on clusterbased soft real-time applications, and developed a utilization control algorithm DUC-LB for large-scale server clusters. Koutsoukos et al in [38] considered a scenario where control variables are discrete.…”

Section: Other Control and Optimization Approaches In Real-time Embedmentioning

confidence: 99%

Utilization Control and Optimization of Real-Time Embedded Systems

Chen

Kong

2015

FNT in Electronic Design Automation

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Section: Other Control and Optimization Approaches In Real-time Embedmentioning

confidence: 99%

Utilization Control and Optimization of Real-Time Embedded Systems

Chen

Kong

2015

FNT in Electronic Design Automation

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“… Supposing free flow, besides S=1, E=1, u=1, α=1, β=1, Δt=1 the equation regarding to the transmitted vehicle length will be constructed, in such way the vehicle lengths regarding to 1 sec will be determined.  The velocity-density function will be selected, in this case it is the linear function (but it can be other function, if required)  The equation (11) will be solved with (12).  Fig.…”

Section: E 5 ]mentioning

confidence: 99%

“…These models are used to describe the multitude in different systems, for example, in traffic systems, that manage the flow of cars on the road, or the flow of aircrafts in the airspace in that the control is performed with groups of computers Fu, Y. et al, (2006).…”

Section: Introductionmentioning

confidence: 99%

Determination of vehicle density of inputs and outputs and model validation for the analysis of network traffic processes

Péter¹,

Fazekas²

2014

Period. Polytech. Transp. Eng.

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This article studies the processes in large-scaled road traffic networks. The described system applies a new dynamical model considering the real circumstances. The validation of the model is performed with cross-section traffic data and velocity measurement of GPS-equipped cars participating in the traffic. The model was set up during the modeling process of the city of Győr. Keywords class of positive systems · large nonlinear dynamic network model · modeling of transport processes · validation · road transport processes analysis IntroductionThe theory in question applies to systems belonging to the class of positive systems.To this class belong, for example, fluids moving dynamically between reservoirs in a network, where Euler's law of conservation of mass holds, and the basic structure is the interconnected network itself, Bastin, G. (1999). These models are used to describe the multitude in different systems, for example, in traffic systems, that manage the flow of cars on the road, or the flow of aircrafts in the airspace in that the control is performed with groups of computers Fu, Y. et al, (2006).In the case of macroscopic models the traffic is treated as a flow of a medium applying the so-called liquid or gas flow approach. Macroscopic models were studied to describe the traffic flow using the analogy between the traffic and fluid flows as the starting point in Lighthill, M

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“…To the best of our knowledge there is no prior control theoretic work that deals with balancing the execution of partitioned query tasks in volatile settings; however an interesting approach to enforcing desired utilization set points under a range of dynamic workloads with the help of a controller appears in [Fu et al 2006], where the methodology adopted is based on diffusive load balancing. In a different setting, cost-aware load balancing has been investigated in [Birdwell et al 2006], as well.…”

Section: ·mentioning

confidence: 99%

Efficient load balancing in partitioned queries under random perturbations

Gounaris

Yfoulis

Paton

2012

ACM Trans. Auton. Adapt. Syst.

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This work investigates a particular instance of the problem of designing efficient adaptive systems, under the condition that each adaptation decision incurs some non negligible cost when enacted. More specifically, we deal with the problem of dynamic, intra-query load balancing in parallel database queries across heterogeneous nodes in a way that takes into account the inherent cost of adaptations and thus avoids both over-reacting and deciding when to adapt in a completely heuristic manner. The latter may lead to serious performance degradation in several cases, such as periodic and random imbalances. We follow a control theoretical approach to this problem; more specifically, we propose a multiple-input multiple-output feedback linear quadratic regulation (LQR) controller, which captures the tradeoff between reaching a balanced state and the cost inherent in such adaptations. Our approach, apart from benefitting from and being characterized by a solid theoretical foundation, exhibits better performance than state-of-the-art heuristics in realistic situations, as verified by thorough evaluation.

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Distributed Utilization Control for Real-Time Clusters with Load Balancing

Cited by 30 publications

References 32 publications

Utilization Control and Optimization of Real-Time Embedded Systems

Utilization Control and Optimization of Real-Time Embedded Systems

Determination of vehicle density of inputs and outputs and model validation for the analysis of network traffic processes

Efficient load balancing in partitioned queries under random perturbations

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