using Mobile Ad-hoc Networks (MANETs) for rural public safety. First‚ we discuss a QoS enhancement to a standard routing protocol‚ Dynamic Source Routing (DSR). By incorporating a new routing metric and the available bandwidth and delay estimation algorithms with DSR‚ we design a new routing protocol‚ QoSAware Source Routing (QASR)‚ to meet the QoS requirements specified by Statement of Requirements (SoR) for public safety communications. We then evaluate the performance of QASR and the well-known standard
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STUDENT’S MANUAL TO ACCOMPANY OPERATING SYSTEM CONCEPTS SEVENTH EDITION ABRAHAM SILBERSCHATZ Yale University PETER BAER GALVIN Corporate Technologies GREG GAGNE Westminster College Preface This volume is a student’s manual for the Seventh Edition of Operating System Concepts‚ by Abraham Silberschatz‚ Peter Baer Galvin‚ and Greg Gagne. It consists of answers to the exercises in the parent text. Although we have tried to produce a student’s manual that will aid all of the users
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Carnegie Mellon University Survivability Requirements for the U.S. Health Care Industry A Thesis Submitted to the Information Networking Institute in Partial Fulfillment of the Requirements for the degree MASTER OF SCIENCE in INFORMATION NETWORKING by Jose Caldera Pittsburgh‚ Pennsylvania May 2000 Copyright by Jose Caldera‚ 2000. All rights reserved - Carnegie Mellon University Information Networking Institute THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE
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INTRODUCTION Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also an academic field of study. Major AI researchers and textbooks define the field as "the study and design of intelligent agents"‚ where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy‚ who coined the term in 1955‚ defines it as "the science and engineering of making intelligent machines". AI research is highly
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3.2.2. Computation of Current Trust Let TV(t) represents for a requested node’s historical trust level at the end of time interval t‚ and C(t + 1) represents for this node’s capability level on providing service for the next time interval t + 1 (prediction time interval)‚ which includes the remnant utilization ratio of battery‚ local memory‚ CPU cycle‚ and bandwidth at that point. Let TV(t + 1) refers to the same node’s current trust level for the next time interval t + 1. Assume the fuzzy membership
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Michael J. Mcglynn and Steven A. Borbash. Birthday protocols for low energy deployment and flexible neighbor discovery in ad hoc wireless networks. In MobiHoc 01: Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking and computing‚ pages 137-145‚ New York‚ NY‚ USA‚ 2001. ACM. [4] Martin Kubisch‚ Hogan Karl‚ Adam Wolisz‚ Lizhi Charlie Zhong‚ Jan Rabaey. ”Distributed Algorithms for Transmission Power Control in Wireless Sensor Networks”. Proceedings WCNS03‚ IEEE Wireless Communications
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CHAPTER 12 ROUTING IN SWITCHED NETWORKS A NSWERS TO Q UESTIONS 12.1 The average load expected over the course of the busiest hour of use during the course of a day. 12.2 The tradeoff is between efficiency and resilience. 12.3 A static routing strategy does not adapt to changing conditions on the network but uses a fixed strategy developed ahead of time. With alternate routing‚ there are a number of alternate routes between source and destination and a dynamic choice of routes is
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Phase 1: Identifying Requirements‚ Putting the Network Together Scenario NuggetLabs Industries is growing significantly. Due to space limitations‚ five employees currently share single cubicles…at the same time. While this is great for team building‚ these space limitations are now impacting business productivity. NuggetLabs has now leased an additional office building roughly 20Km from their headquarters location. While this office will eventually connect to the HQ office‚ it will initially
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computing resource (Shang et al. 2015). Thus‚ a variety of algorithms are given by researchers to find sub-optimal solution of the problem in a limited time (Shang et al. 2015). In general‚ there are two categories: heuristics and meta-heuristics. Among them‚ the representative heuristic algorithms: in 1983‚ Golden et al. (1983) proposed Augment-Merge algorithm and Path-Scanning algorithm (Golden and Wong 1981). In Path-Scanning algorithm‚ all tasks will be inserted into the loop according to some
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org/journal/iim) The Line Clipping Algorithm Basing on Affine Transformation Wenjun Huang College of Math and Computer Science‚ Guangxi University for Nationalities‚ Nanning‚ China E-mail: hwjart@126.com Received March 20‚ 2010; revised April 25‚ 2010; accepted May 27‚ 2010 Abstract A new algorithm for clipping line segments by a rectangular window on rectangular coordinate system is presented in this paper. The algorithm is very different to the other line clipping algorithms. For the line segments
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