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Next, we quantify the CPU overheard that is introduced by each NCRAWL processing stage, under maximum traffic loads, and we compare total CPU utilization to (1) the public COPE implementation that uses an explicit acknowledgment scheme and (2) legacy IEEE 802.11b-g.
where ρmin and ρmax are the minimum and the maximum traffic loads throughout the day, wheight and woffset are the height and offset of the sinusoidal traffic wave, and t p is the time slice in which the traffic load has its peak.
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The transmission periods are expressed in percentage of the maximum traffic load case.
We show that the maximum traffic load that a single RA can handle is limited.
We show that the maximum traffic load that a single resource allocator (RA) can handle is limited.
We formulate the load balancing problem as a minmax problem and give two lower bounds for the achievable minimal maximum traffic load.
It is clear that LCSR with has the best performance, that is, smallest maximum traffic load and STD load for both gird and random networks.
Finally, we consider stability of the different approaches since it is of significant importance to understand what is the maximum traffic load that a MAC protocol can handle.
However, servers with greater capacities than those chosen in this paper should be considered to identify what would be the maximum traffic load supported by such platform.
By using these expressions, we are able to optimize a parameterized set of paths yielding a particularly flat traffic load distribution which decreases the maximum traffic load in the network by in comparison with the shortest-path routing.
The traffic load is now distributed among the four links of the GW where the maximum traffic load on the links 15-8, 15-25, 15-25, and 15-24.7484.748.192192, 8.192, and 8.192 Mbps, respectively.
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