Author: D. S. Malik
Publisher:
ISBN: 9781111577643
Category : Java (Computer program language)
Languages : en
Pages : 1036
Book Description
Designed for a first Computer Science (CS1) Java course, JAVA PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 5e, International Edition will motivate your students while building a cornerstone for the Computer Science curriculum. With a focus on your students' learning, this text approaches programming using the latest version of Java, and includes updated programming exercises and programs. The engaging and clear-cut writing style will help your students learn key concepts through concise explanations and practice in this complex and powerful language.
Java Programming
Author: D. S. Malik
Publisher:
ISBN: 9781111577643
Category : Java (Computer program language)
Languages : en
Pages : 1036
Book Description
Designed for a first Computer Science (CS1) Java course, JAVA PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 5e, International Edition will motivate your students while building a cornerstone for the Computer Science curriculum. With a focus on your students' learning, this text approaches programming using the latest version of Java, and includes updated programming exercises and programs. The engaging and clear-cut writing style will help your students learn key concepts through concise explanations and practice in this complex and powerful language.
Publisher:
ISBN: 9781111577643
Category : Java (Computer program language)
Languages : en
Pages : 1036
Book Description
Designed for a first Computer Science (CS1) Java course, JAVA PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 5e, International Edition will motivate your students while building a cornerstone for the Computer Science curriculum. With a focus on your students' learning, this text approaches programming using the latest version of Java, and includes updated programming exercises and programs. The engaging and clear-cut writing style will help your students learn key concepts through concise explanations and practice in this complex and powerful language.
Operating System 101
Author: WAGmob
Publisher: WAGmob
ISBN:
Category :
Languages : en
Pages : 176
Book Description
***** WAGmob: Over One million Paying Customers ***** WAGmob brings you, Simple 'n Easy, on-the-go learning ebook for "Operating System 101". The ebook provides: Snack sized chapters for easy learning. Designed for both students and adults. This ebook provides a quick summary of essential concepts in Operating System 101 by following snack sized chapters: Operating System Overview: • What is an Operating System? • Operating System Services • Evolution of Operating System Process in Operating System: • Process Introduction • Process state • Process Control Block • Context Switch • Operations on Processes • Scheduling Queues Scheduling in Operating System: • What is Scheduling? • Schedulers • Criteria for CPU Scheduling Algorithm • Non-Preemptive Vs. Preemptive Scheduling • Types of Scheduling Algorithms Scheduling Algorithm I: • First Come First Serve • Shortest Job First • Shortest Remaining Time First • What is Priority? • Non-preemptive Priority Scheduling • Preemptive Priority Scheduling Scheduling Algorithm II: • Round Robin Scheduling • Multiprocessor Scheduling • Time Sharing Multiprocessor Scheduling • Space Sharing Scheduling • Gang Scheduling Threads in Operating System: • What is a Thread? • User level Thread • Kernel level threads • Differences and Similarities between Threads and Processes • Inter-process communication • Message-Passing System Process Synchronization I: • Process Synchronization • How process synchronization is achieved? • Critical Section Problem • Solution to Critical Section Problem • Two Process Solutions • Semaphore • Binary Semaphore • Classic Problems of Synchronization Process Synchronization II: • Bounded Buffer Producer-consumer Problem • The Readers- Writers Problem • The Dining-Philosophers Problem Deadlock in Operating System I: • Deadlock • Necessary Conditions • Resource-Allocation Graph • Methods for Handling Deadlocks • Deadlock Avoidance • Banker's Algorithm Deadlock in Operating System II: • Example of Bankers Algorithm • Deadlock Detection • Detection Algorithm • Example of Detection Algorithm • Recovery from Deadlock Memory Management I: • Memory Management • Physical and Logical address • Overlays • Swapping • Contiguous Memory Allocation • Memory Allocation Method Memory Management II: • Sample Problem on Memory Allocation • Paging • Segmentation • Comparison between Paging and Segmentation Virtual Memory and Page Replacement: • Virtual Memory • Demand Paging • Page Fault • Page Replacement Technique • FIFO • Optimal Page Replacement Algorithm • LRU Page Replacement • Thrashing File System: • File concept • File Attributes • File Operations • Common File Types • File Access Methods • File Allocation Methods Disk Scheduling: • Disk Scheduling • First Come-First Serve (FCFS) • Shortest Seek Time First (SSTF) • SCAN • C-SCAN • LOOK About WAGmob ebooks: 1) A companion ebook for on-the-go, bite-sized learning. 2) Offers value for money (a lifetime of free updates). 3) Over One million paying customers from 175+ countries. WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning Visit us : www.wagmob.com Please write to us at [email protected]. We would love to improve this ebook.
Publisher: WAGmob
ISBN:
Category :
Languages : en
Pages : 176
Book Description
***** WAGmob: Over One million Paying Customers ***** WAGmob brings you, Simple 'n Easy, on-the-go learning ebook for "Operating System 101". The ebook provides: Snack sized chapters for easy learning. Designed for both students and adults. This ebook provides a quick summary of essential concepts in Operating System 101 by following snack sized chapters: Operating System Overview: • What is an Operating System? • Operating System Services • Evolution of Operating System Process in Operating System: • Process Introduction • Process state • Process Control Block • Context Switch • Operations on Processes • Scheduling Queues Scheduling in Operating System: • What is Scheduling? • Schedulers • Criteria for CPU Scheduling Algorithm • Non-Preemptive Vs. Preemptive Scheduling • Types of Scheduling Algorithms Scheduling Algorithm I: • First Come First Serve • Shortest Job First • Shortest Remaining Time First • What is Priority? • Non-preemptive Priority Scheduling • Preemptive Priority Scheduling Scheduling Algorithm II: • Round Robin Scheduling • Multiprocessor Scheduling • Time Sharing Multiprocessor Scheduling • Space Sharing Scheduling • Gang Scheduling Threads in Operating System: • What is a Thread? • User level Thread • Kernel level threads • Differences and Similarities between Threads and Processes • Inter-process communication • Message-Passing System Process Synchronization I: • Process Synchronization • How process synchronization is achieved? • Critical Section Problem • Solution to Critical Section Problem • Two Process Solutions • Semaphore • Binary Semaphore • Classic Problems of Synchronization Process Synchronization II: • Bounded Buffer Producer-consumer Problem • The Readers- Writers Problem • The Dining-Philosophers Problem Deadlock in Operating System I: • Deadlock • Necessary Conditions • Resource-Allocation Graph • Methods for Handling Deadlocks • Deadlock Avoidance • Banker's Algorithm Deadlock in Operating System II: • Example of Bankers Algorithm • Deadlock Detection • Detection Algorithm • Example of Detection Algorithm • Recovery from Deadlock Memory Management I: • Memory Management • Physical and Logical address • Overlays • Swapping • Contiguous Memory Allocation • Memory Allocation Method Memory Management II: • Sample Problem on Memory Allocation • Paging • Segmentation • Comparison between Paging and Segmentation Virtual Memory and Page Replacement: • Virtual Memory • Demand Paging • Page Fault • Page Replacement Technique • FIFO • Optimal Page Replacement Algorithm • LRU Page Replacement • Thrashing File System: • File concept • File Attributes • File Operations • Common File Types • File Access Methods • File Allocation Methods Disk Scheduling: • Disk Scheduling • First Come-First Serve (FCFS) • Shortest Seek Time First (SSTF) • SCAN • C-SCAN • LOOK About WAGmob ebooks: 1) A companion ebook for on-the-go, bite-sized learning. 2) Offers value for money (a lifetime of free updates). 3) Over One million paying customers from 175+ countries. WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning Visit us : www.wagmob.com Please write to us at [email protected]. We would love to improve this ebook.
Big Data and Hadoop
Author: Wagmob
Publisher:
ISBN: 9781500839055
Category : Computers
Languages : en
Pages : 156
Book Description
This ebook provides a quick summary of essential concepts in Big Data and Hadoop by following snack sized chapters:Introduction to Big Data:• Introduction to Big Data• Sources of Big Data• Big Data Characteristics• Big Data Analytics• The Importance of Big DataBig Data in the Enterprise:• Big Data in the Enterprise• Data Processing and Analytics: The Old Way• Big Data Enterprise Model• Building a Big Data PlatformHadoop and Hadoop Infrastructure:• Hadoop• Why Hadoop?• How does Hadoop help?• Hadoop Infrastructure• How Data Model is Different?• How Computing Model is Different?• Hadoop frameworkHadoop Distributed File System (HDFS):• HDFS: Hadoop Distributed File System• HDFS: Files and Blocks• Replication• Hadoop: A master-slave architecture• HDFS: Data Placement and ReplicationMapReduce:• MapReduce• Typical large –data problem• MapReduce Paradigm - I• Word count example• MapReduce Paradigm – II• MapReduce – Jobs and tasks• MapReduce: A master-slave architecture• MapReduce Programming Model• MapReduce – word count mapper• MapReduce – word count reducer• MapReduce – word count main• MapReduce – running a jobRelationship between MapReduce and HDFS:• Relationship between MapReduce and HDFS• Clients, Data Nodes, and HDFS Storage• MapReduce workloads• Hadoop Fault Tolerance• Reading/Writing FilesHadoop and Databases:• Hadoop and Databases• Typical Datacenter Architecture• Adding Hadoop to the Mix• The Key Benefit• Flexibility: Complex Data ProcessingThe Hadoop Implementation:• Job Execution• Hadoop Data Types• Job Configurations• Input and Output FormatsScenarios for Using Hadoop and Hadoop Live Use Cases:• Scenarios for Using Hadoop• Orbitz: Major Online Travel Booking Service• Major National Bank• Leading North American Retailer• Netflix
Publisher:
ISBN: 9781500839055
Category : Computers
Languages : en
Pages : 156
Book Description
This ebook provides a quick summary of essential concepts in Big Data and Hadoop by following snack sized chapters:Introduction to Big Data:• Introduction to Big Data• Sources of Big Data• Big Data Characteristics• Big Data Analytics• The Importance of Big DataBig Data in the Enterprise:• Big Data in the Enterprise• Data Processing and Analytics: The Old Way• Big Data Enterprise Model• Building a Big Data PlatformHadoop and Hadoop Infrastructure:• Hadoop• Why Hadoop?• How does Hadoop help?• Hadoop Infrastructure• How Data Model is Different?• How Computing Model is Different?• Hadoop frameworkHadoop Distributed File System (HDFS):• HDFS: Hadoop Distributed File System• HDFS: Files and Blocks• Replication• Hadoop: A master-slave architecture• HDFS: Data Placement and ReplicationMapReduce:• MapReduce• Typical large –data problem• MapReduce Paradigm - I• Word count example• MapReduce Paradigm – II• MapReduce – Jobs and tasks• MapReduce: A master-slave architecture• MapReduce Programming Model• MapReduce – word count mapper• MapReduce – word count reducer• MapReduce – word count main• MapReduce – running a jobRelationship between MapReduce and HDFS:• Relationship between MapReduce and HDFS• Clients, Data Nodes, and HDFS Storage• MapReduce workloads• Hadoop Fault Tolerance• Reading/Writing FilesHadoop and Databases:• Hadoop and Databases• Typical Datacenter Architecture• Adding Hadoop to the Mix• The Key Benefit• Flexibility: Complex Data ProcessingThe Hadoop Implementation:• Job Execution• Hadoop Data Types• Job Configurations• Input and Output FormatsScenarios for Using Hadoop and Hadoop Live Use Cases:• Scenarios for Using Hadoop• Orbitz: Major Online Travel Booking Service• Major National Bank• Leading North American Retailer• Netflix