An adaptive buffer management algorithm for enhancing dependability and performance in mobile-object-based real-time computing

Ip, May T. W.; Lin, Wilfred W. K.; Wong, Aky; Dillon, Tharam S.; Wang, Dianhui

doi:10.1109/isorc.2001.922829

Cited by 13 publications

(9 citation statements)

References 3 publications

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“…[16] compares different algorithms for adaptive buffer management to minimize the effect of delay jitter: packet delay and/or packet peak recognition are exploited to dynamically adapt the buffer size. [17] predicts buffer occupation with a Proportional Integral Derivative predictor; the goal is to minimize packet loss due to buffer overflow. [18] is the only proposal dealing with wireless clients: it suggests a proxy-based infrastructure exploiting neural networks to predict client connection state; proxies execute on the wired network to manage the state/connections of their associated clients.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Buffering-Based on Handoff Prediction for Wireless Internet Continuous Services

Bellavista

Corradi

Giannelli

2005

High Performance Computing and Communications

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Abstract. New challenging deployment scenarios are accommodating portable devices with limited and heterogeneous capabilities that roam among wireless access localities during service provisioning. That calls for novel middlewares to support different forms of mobility and connectivity in wired-wireless integrated networks, to provide runtime service personalization based on client characteristics, preferences, and location, and to maintain service continuity notwithstanding temporary disconnections due to handoff. The paper focuses on how to predict client horizontal handoff between IEEE 802.11 cells in a portable way, only by exploiting RSSI monitoring and with no need of external global positioning, and exploits mobility prediction to preserve audio/video streaming continuity. In particular, handoff prediction permits to dynamically and proactively adapt the size of client-side buffers to avoid streaming interruptions with minimum usage of portable device memory. Experimental results show that our prediction-based adaptive buffering outperforms traditional static solutions by significantly reducing the buffer size required for streaming continuity and by imposing a very limited overhead.

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Section: Related Workmentioning

confidence: 99%

Adaptive Buffering-Based on Handoff Prediction for Wireless Internet Continuous Services

Bellavista

Corradi

Giannelli

2005

High Performance Computing and Communications

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“…Finding an appropriate solution to do so is, however, a challenging problem especially for application over the sizeable and dynamic Internet. However, the significance of the problem has attracted substantial international research effort [10][11][12][19][20][21][22][23][24][25][26]. From the point of view of e-business, any excessively long service response delay/latency would lower the chance of commercial success.…”

Section: Related Workmentioning

confidence: 99%

“…[10]). In particular, the previous PIDC experience shows that the success of the VBL approach depends on how some or all of the control parameters are adaptively and optimally tuned at runtime [12]. The optimal parametric values enable the rectification process to deal with different physical conditions immediately and accurately on the fly.…”

Section: Related Workmentioning

confidence: 99%

“…The first successful application of the M 3 RT mechanism for runtime support was in the development of the algorithmic PID (P for proportional control, I for integral control, and D for derivative control) controller or PIDC. This controller, however, only has limited anticipative power in the dynamic buffer tuning process [12]. The desire to enhance this anticipative power is one of the driving forces behind the proposal and development of the two novel intelligent controllers, namely, the FLC and GAC.…”

Section: Introductionmentioning

confidence: 99%

“…From the literature the only identified algorithmic controllers of this kind that work with a variable buffer length at runtime are the PIDC [12] and its 'P + D' (proportional (P) and derivative (D) control mechanisms) predecessor [10]. The PIDC works more efficaciously than 'P + D', but it still has two innate shortcomings.…”

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confidence: 99%

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Applying fuzzy logic and genetic algorithms to enhance the efficacy of the PID controller in buffer overflow elimination for better channel response timeliness over the Internet

Lin¹,

Wong²,

Wu³

2005

Concurrency and Computation

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SUMMARYIn this paper two novel intelligent buffer overflow controllers: the fuzzy logic controller (FLC) and the genetic algorithm controller (GAC) are proposed. In the FLC the extant algorithmic PID controller (PIDC) model, which combines the proportional (P), derivative (D) and integral (I) control elements, is augmented with fuzzy logic for higher control precision. The fuzzy logic divides the PIDC control domain into finer control regions. Every region is then defined either by a fuzzy rule or a 'don't care' state. The GAC combines the PIDC model with the genetic algorithm, which manipulates the parametric values of the PIDC as genes in a chromosome. The FLC and GAC operations are based on the objective function {0, } 2 . The principle is that the controller should adaptively maintain the safety margin around the chosen reference point (represent by the '0' of {0, } 2 ) at runtime. The preliminary experimental results for the FLC and GAC prototypes indicate that they are both more effective and precise than the PIDC. After repeated timing analyses with the Intel's VTune Performer Analyzer, it was confirmed that the FLC can better support realtime computing than the GAC because of its shorter execution time and faster convergence without any buffer overflow.

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Klous

Frey

Son

et al. 2006

Concurrency and Computation

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An adaptive buffer management algorithm for enhancing dependability and performance in mobile-object-based real-time computing

Cited by 13 publications

References 3 publications

Adaptive Buffering-Based on Handoff Prediction for Wireless Internet Continuous Services

Adaptive Buffering-Based on Handoff Prediction for Wireless Internet Continuous Services

Applying fuzzy logic and genetic algorithms to enhance the efficacy of the PID controller in buffer overflow elimination for better channel response timeliness over the Internet

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