![]() ![]() The publisher assumes no responsibility for any damage or grievance to the persons or property arising out of the use of any materials, instructions, methods or thoughts in the book. Authors or Editors or Publishers are not responsible for the accuracy of the information in the published chapters or consequences of their use. ![]() Reasonable efforts have been made to publish reliable data. Copyright for images and other graphics remains with the original owners as indicated. Reprinted material sources are indicated and copyright remains with the original owners. This book contains information obtained from highly regarded resources. PadallanĪrcler Press 224 Shoreacres Road Burlington, ON L7L 2H2 Canada Email: Į-book Edition 2023 ISBN: 978-1-77469-629-3 (e-book) Introductory Guide to Operating Systems Jocelyn O. Structures of Directory in Operating System (OS)ġ0.3. Contiguous Memory Allotment in Operating System (OS)ĩ.4. Contrasts Between Static and Dynamic Linkingħ.7. Similarities Between User-Level Threads and Kernel-Level Threadsħ.5. Differences Between Kernel-Level Threads and User-Level ThreadsĦ.16. Programming Language Support for ThreadsĦ.15. Single and Multiprocessor System SchedulingĦ.12. ![]() Preemptive and Cooperative SchedulingĦ.10. Similarities Between a Process and a ThreadĦ.9. Building Blocks for the Functioning of a ThreadĦ.7. Difference Between a Process and a ThreadĦ.4. Operating System (OS) Multi-ThreadingĦ.3. Fixed Priority Pre-Emptive SchedulingĬhapter 6 Operating System Multi-ThreadingĦ.2. Working of Spooling in Operating System (OS)ĥ.18. Types of Multiprogramming Operating Systems (OSS)Ĥ.15. Monitors and Dependencies in Batch ProcessingĤ.8. Techniques Used in their Virtual Management Systemsģ.8. Advantages and Disadvantages of Linux Operating System (OS)ģ.5. How Windows Versions Have Evolved Throughout the Yearsģ.3. Soft Real Time Operating System (OS)Ģ.25. Real Time Operating System (OS) ArchitecturesĢ.24. Disciplines that Impact Real Time Operating Systems (OS)Ģ.23. Advantages and Features of Real Time Operating System (OS)Ģ.22. Real Time Operating System (OS) in Embedded SystemsĢ.21. Characteristics of Real Time Operating System (OS)Ģ.20. Features of Network Operating System (NOS)Ģ.19. Types of Network Operating Systems (NOS)Ģ.17. Disadvantage of Distributive Operating Systems (OSS)Ģ.16. Advantages of Distributive Operating System (OS)Ģ.14. Design Consideration of Distributed Operating System (OS)Ģ.13. Disadvantages of Time-Sharing Operating System (OS)Ģ.12. Advantages of Time-Sharing Operating System (OS)Ģ.9. ![]() Requirements of the Time-Sharing Operating System (OS)Ģ.8. Working of the Batched Operating System (OS)Ģ.7. A Brief History of Operating Systems (OSS)Ģ.2. Private static void findDuplicates(final String.Chapter 1 An Overview on Operating Systemġ.6. But maybe I will update the program for partial checksums even. The reason for this is that when I ran this on 236670 files with a total of 6 GB of data, it took only 7 seconds. It does not get the checksum in fragments. I have sketched a small program that almost performs this. There might be even smarter ways than that, just dumped what came in my mind when I read about the task. This way you can quite directly eliminate all those entries which have a List of size 1 without any further lookup or comparison. If the first bytes already differ, why look at the remaining ones.Īnother key to speeding up the comparison might be to invert the Map. Key to speeding up the checksum would be to do it in chunks and compare in between. Compare the file contents of the duplicate files in case of collisions.The remaining files are files which are duplicate (if the checksum has no collisions).until the files with no-unique checksums are all read completely. Eliminate all files which have a unique checksum.Get the checksum of the next (first time: first) 4K bytes of each file.Then remove all entries which have a list of size 1. This can actually be done by using the file size as the key in a Map and a List as value. If your files are "quite normal", this would quite likely already eliminate several of the larger files. Eliminate all files which have a unique file size.Try to use Java 8 parallel streams or something similar so that my multi-core CPU will be utilized for speeding things up.I would approach this issue in the following way: ![]()
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