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Extra resources for Information Systems Security: 9th International Conference, ICISS 2013, Kolkata, India, December 16-20, 2013. Proceedings
On the other hand, Figure 1 also shows that the monetary expenditure on public side resources is substantially low even when a user takes additional risks by storing increasing amounts of sensitive data on the public cloud (the graph for 50% resource allocation cost shows that even when more money is allowed to be spent on public side resources the overall performance is relatively the same, suggesting that a budget of only about 50% of the PRA CONST is sufficient to boost the performance savings by upto 50%).
Note that, since executing any query on the private side does not cause a violation of any constraints, this case essentially does not require a feasibility check. So let us assume that assigning t3 to the public side does not cause a violation of constraints. To express WPP on W i in terms of WPP on W i−1 , we have to consider two cases: Case 1: If t3 runs on the public side, then there will be more than one WPP subproblem that needs to be investigated. This is due to the fact that the possible execution of t3 on the public side will bring at least $15 and at most $25 into the overall monetary cost value.
An example is SELECT x FROM t GROUP BY x HAVING SUM(y) > 10 with our onion conﬁguration for processing in the cloud. – A join operation on diﬀerent onion conﬁgurations. In our running example there are no conﬂicts and the entire query is executed on the server. If a query is to be executed on the client, the subtrees rooted at its children are synthesized into SQL queries. These queries are then executed and their result stored in local, temporary tables on the client. The temporary tables are decrypted and the upper part of the query is synthesized.