Assume you are working in Grameenphone, and you are asked to manage records of 70 million users by their Phone numbers. You are asked to store these numbers and perform frequent searches, insertion and deletion on them. Each record size is about 10KB (Kilobytes). Any array in your system can hold at most 4GB (Gigabytes) of data. How would you design the data structure to hold the record? Answer this based on your data structure knowledge on Arrays, Various kind of linked lists, Trees, Graph and/or Hash Tables. Discuss your choice based on space and runtime complexity.
Assume you are working in Grameenphone, and you are asked to manage records of 70 million users by their Phone numbers. You are asked to store these numbers and perform frequent searches, insertion and deletion on them. Each record size is about 10KB (Kilobytes). Any array in your system can hold at most 4GB (Gigabytes) of data. How would you design the data structure to hold the record? Answer this based on your data structure knowledge on Arrays, Various kind of linked lists, Trees, Graph and/or Hash Tables. Discuss your choice based on space and runtime complexity.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Assume you are working in Grameenphone, and you are asked to manage records of 70 million users
by their Phone numbers. You are asked to store these numbers and perform frequent searches,
insertion and deletion on them.
Each record size is about 10KB (Kilobytes).
Any array in your system can hold at most 4GB (Gigabytes) of data.
How would you design the data structure to hold the record?
Answer this based on your data structure knowledge on Arrays, Various kind of linked lists, Trees, Graph
and/or Hash Tables. Discuss your choice based on space and runtime complexity.
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