Assume that the disk block size for the disks on a file server was increased by a factor of four. The file size remains the same, the file is read one block at a time, and, even with the larger block size, a single ReplyWithSegment is used to transfer the block of data. In qualitative terms, what would be the effect on the client's execution time in reading file F (again, not cached)?
(a) Describe similar assertions for wait and signal using Mesa monitors and briefly explain why.
(b) The Mesa Monitors paper describes how programmers should test and wait for conditions using Mesa monitors:
...
[1]
while ( ... )
{
[2]
...
[3] b.wait [4]
...
}
[5]
...
Notes:
Considering the code snippet above, create a table with five rows corresponding to the five placeholders in the code and two columns corresponding to the invariant I and condition B. For each entry in the table, write "hold", "!hold", or "unknown" depending upon what can be assumed about the invariant or condition, respectively, at each point in the code snippet.
Butler Lampson once gave a set of principles for system design. Among these, he gave two conflicting pieces of advice on the nature of implementations. He said, "Keep secrets of the implementation. Secrets are assumptions about an implementation that client programs are not allowed to make... Obviously, it is easier to program and modify a system if its parts make fewer assumptions about each other." And yet, "One way to improve performance is to increase the number of assumptions that one part of a system makes about another; the additional assumptions often allow less work to be done, sometimes a lot less." That is, on the one hand we should hide an implementation for ease of development, and, on the other, we should expose our implementations for speed. For example, Xen's paravirtualized x86 interface exposed the implementation of the hypervisor to its guest OSes, largely for speed, while Sprite's process migration took advantage of secrets in hiding the distributed nature of its implementation from processes subject to migration. GMS and Exokernel are two more systems which exemplified this advice. For these two systems, explain: