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Finally, for requests 8 and 22 to 26, federated evaluation leads to larger numbers of remote request and longer evaluation times than tenant-side evaluation.
During the set maximum response time, the requested data must be downloaded and showed to user on display (in case of remote request to server's data).
We also consider an offline mode for data flow, where the lists of recognition states are transferred over network that is demanded by remote request or periodically uploaded to data distribution server by time period or buffer size limit.
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During the gravity phase, remote requests are sent for tree nodes that are not present in the local cache.
Second, in most cases, federated evaluation leads to the same or smaller number of remote requests than tenant-side evaluation.
This improves the performance by hiding the latency of remote requests and by reducing the number of messages sent and received for the remote node.
However, the smaller number of remote requests does not lead to proportionally shorter evaluation times, e.g., for requests 4, 5 and 6.
The upper chart shows the number of remote requests needed for evaluating the policies (lower is better), the lower chart shows the resulting policy evaluation time in milliseconds (lower is better).
First, provider-side evaluation requires the same or larger number of remote requests than tenant-side and federated evaluation in all cases, leading to longer evaluation times in most cases.
Thus, in order to give a realistic view of the performance impact of policy federation, we employ the policies from the case study and measure (i) the number of remote requests (i.e., attribute requests or policy evaluation requests) between tenant and provider needed for evaluating the policies and (ii) the total policy evaluation time.
"On election day, DDoS is likely to be the most damaging attack scenario, as it can severely cripple the voting process by taking down crucial supporting services and infrastructures," says Igal Zeifman, director of marketing at Imperva Incapsula, referring to the type of attack that would take down servers and machines by overloading them with remote requests.
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