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.

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

Problem 1PE

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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.
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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.
bottom set the low-order b bits of x to 1; the others to 0. For example, if b is 3, x should be 7. Pay special attention to the edge cases: if b is 32 x should be −1; if b is 0 x should be 0. Do not use in your solution. Provided input(s): b
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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