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A Time-Scale Decomposition Approach to Measurement-Based Admission Control
A Time-Scale Decomposition Approach toMeasurement-Based Admission ControlMatthias Grossglauser David N. C. TseDept. of Electrical Engineering and Computer SciencesUniversity of CaliforniaBerkeley, CA 94720, USAfgrossgla,dtseg@eecs.berkeley.eduAbstractWe propose a time-scale decomposition approach to measurement-based admission con-trol (MBAC). We identify a critical time-scalefTh such that: 1) aggregate trac
uctuationslower than fTh can be tracked by the admission controller and compensated for by
owadmissions and departures; 2)
uctuations faster than fTh have to be absorbed by reservingspare bandwidth on the link. The critical time-scale is shown to scale as Th=pn, where This the average
ow duration and n is the size of the link in terms of number of
ows it cancarry. A MBAC design is presented which lters aggregate measurements into low andhigh frequency components separated at the cuto frequency 1=fTh, using the low frequencycomponent to track slow time-scale trac
uctuations and the high frequency componentto estimate the spare bandwidth needed. Our analysis shows that the scheme achieveshigh utilization and is robust to trac heterogeneity, multiple time-scale
uctuations andmeasurement errors. The scheme uses only measurements of aggregate bandwidth anddoes not need to keep track of per-
ow information.1 IntroductionIn order to make quality of service (QoS) guarantees, a network must exercise
ow admissioncontrol. Admission decisions are based on some trac characterization, such as eectivebandwidths [11, 5] or leaky bucket descriptors [14]. The traditional approach to admissioncontrol assumes that a trac descriptor is provided by the user or application for each
owprior its establishment [15]. However, this approach suers from several problems. Chiefamong them is the inability of the user or application to come up with tight trac descriptorsbefore establishing the
ow. This is especially so when the bandwidth
uctuates over multipletime-scales. A
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