A Concurrent Push-Parallel Server Architecture in .NET framework

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A Concurrent Push-Parallel Server Architecture
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reduce buffer requirement. By varying the number of groups, one can trade-off disk utilization against buffer requirement. To extend GSS for use in parallel video servers, we propose dividing a service round into G = g N S groups, where g can be determined using the single-server model [8] to minimize buffer requirement while still meeting the playout requirement. Assume that a single server can serve at most video sessions, then each group serves up to ( /g) video sessions. It is easy to see that this holds for two or more servers as well. Therefore, the number of disk buffers needed is reduced from N S to , though we still need N S network buffers because a video block is transmitted at a lower data rate of RV /N S . Under this extended GSS algorithm, the total amount of server buffer required will be Bserver = Q N S 1+ 1 G (10.24)
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10.4.2 Uneven Group Assignment and Admission Scheduling
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The AGSS algorithm described in the previous section has a subtle problem when the servers in the system are not clock-synchronized. Figure 10.5 illustrates the problem using the arrivals of two new-session requests. As shown in Figure 10.5 while server zero assigns the two new sessions into different groups, server one assigns them into the same group. This can occur because each server assigns the new session to a group according to its own internal clock, which may be different from other servers due to clock jitter. Eventually, the group occupancy among servers may deviate in such a way that one server can accept a new video session immediately while others have to wait for an available group, thereby increasing the transmission jitter. To reduce the transmission jitter (which also reduces buffer requirement at the client), we propose adding an admission scheduler to handle group assignment for new-session requests. To initiate a new video session, a client will rst send a request to the admission scheduler, which maintains the same clock jitter bound with the servers. As new sessions are assigned solely according to the admission scheduler s clock, the scenario depicted in Figure 10.5 will not occur. To ensure that the assigned group has not started in any of the servers due to clock
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Transmission Server 0 Retrieval Transmission Server 1 Retrieval
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2nd new video session 1st new video session
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Figure 10.5 Uneven service round assignments
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jitter, the admission scheduler adds an extra delay to the assignment, stated in the following theorem: Theorem 10.2. If the admission scheduler delays the start of a new video session by = G TF +1 (10.25)
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groups, then it guarantees that the assigned group has not started in any of the N S servers. Proof. Please refer to the Appendix. Note that if the assigned group is full, the admission scheduler will sequentially check the subsequent groups until an available group is found.
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10.4.3 Client Buffer Requirement
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As the admission scheduler already guarantees that a new video session will be assigned to the same group in all servers, the scenario in Figure 10.5 could not occur and the transmission jitter will be the same as the clock jitter. Hence, the client buffer requirement derived in Section 10.3 becomes Y = 1+ Z = 1+ + f + f TE TF + f + f + TL TF NS NS (10.26) (10.27)
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10.4.4 System Response Time
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The scheduling delay under the AGSS algorithm depends on the occupancy of the AGSS groups. Speci cally, if a group as calculated from Theorem 10.2 is fully occupied, the new video session must be delayed until the next available group. In the worst case, the transmission of the rst video block is delayed for (N S + ) groups: DS = NS + G TF +1 Q RV (10.28)
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To better evaluate the scheduling delay, we derive the average scheduling delay under a given system load. Assume that video sessions start independently and with equal likelihood at any time. Then a video session can be assigned to any one of the G groups with equal probability. Let there be n active video sessions and G groups, then the number of ways to distribute these n video sessions among G groups is a variant of the urn-occupancy distribution problem [9] and is given by
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N (n, G, ) =
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