Suppose that we run the sliding window algorithm with SWS = 5 and RWS = 3, and no out-of-order arrivals. (a) Find the smallest value for MaxSeqNum. You may assume that it suffices to find the smallest MaxSeqNum such that if DATA[MaxSeqNum] is in the receive window, then DATA[0] can no longer arrive. (b) Give an example showing that MaxSeqNum – 1 is not sufficient. (c) State a general rule for the minimum MaxSeqNum in terms of SWS and RWS.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Suppose that we run the sliding window algorithm with SWS = 5
and RWS = 3, and no out-of-order arrivals.
(a) Find the smallest value for MaxSeqNum. You may assume
that it suffices to find the smallest MaxSeqNum such that if
DATA[MaxSeqNum] is in the receive window, then DATA[0]
can no longer arrive.
(b) Give an example showing that MaxSeqNum - 1 is not
sufficient.
(c) State a general rule for the minimum MaxSeqNum in terms
of SWS and RWS.
Transcribed Image Text:Suppose that we run the sliding window algorithm with SWS = 5 and RWS = 3, and no out-of-order arrivals. (a) Find the smallest value for MaxSeqNum. You may assume that it suffices to find the smallest MaxSeqNum such that if DATA[MaxSeqNum] is in the receive window, then DATA[0] can no longer arrive. (b) Give an example showing that MaxSeqNum - 1 is not sufficient. (c) State a general rule for the minimum MaxSeqNum in terms of SWS and RWS.
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