6. Next-fit is an allocation algorithm that starts by using the first-fit algorithm, but it keeps track of the partition that was last allocated, so that it can start its next search from that exact spot instead of restarting the search with Block 1. In other words, it starts searching from the most recently allocated block when the next job arrives. Using the following configuration with jobs arriving in order (Job A, B, C, and D) and with blocks shown in order from low-order memory to high-order memory: Job List: Job Number Job A Job B Job C Job D Memory Requested 625K 44K 900k 220K Memory Block List: Memory Block Block 1 Block 2 Block 3 Block 4 Block 5 Memory Block Size 250K 900K 280K 200K 50K a. Indicate which memory blocks are allocated to each of the arriving jobs. b. Explain in your own words what advantages the next-fit algorithm could offer.

JAVA Task, by using ArrayList   The program reads manatee names from the standard input stream and from time to time prints a sorted portion of the list of names. All the manatee names in the input are given in the order in which the necropsy was performed. You can imagine a unique timestamp associated with each necropsy. The names are not necessarily unique (many of the manatees have the same name). Interspered in the standard input stream are queries that begin with the question mark character. Queries ask for an alphabetical list of manatee names to be printed to the standard output stream. The list depends only on the names upto that point in the input stream and does include any manatee names that appear in the input stream after the query. The list does not contain all the names of the previous necropsies, but only a selection of them. A query provides the names of two manatees, say A and B. The response to the query drops necropsies performed before the first named A and all the…

How will this project be solved in Python? Thanks. There are example outputs in the picture.

In the third step, you will review the Quicksort and the Insertion Sort code. You will recall from the class presentation that it was suggested that Quicksort is not very efficient when the partition sizes become very small. It was also suggested in class that most implementations of Quicksort switch to another method when the partition size gets small. Create a new version of the Quicksort code to switch to Insertion sort on partitions less than 32 data items in size. 1. Confirm, using a small data set, that your version works. 2. Run a comparison between the original Quicksort and your new version in a way like the way you did comparisons in Step 2. Use the RANDOM.TXT file for the data to test both versions - with at least 50000 items of data in your input file.