Preface xxix Acknowledgments xxxvii List of Figures xxxix List of Tables li List of Contributors lv PART 1 MULTICORE AND MANY-CORE (MC) SYSTEMS-ON-CHIP 1 A RECONFIGURABLE ON-CHIP INTERCONNECTION NETWORK FOR LARGE MULTICORE SYSTEMS 3 Mehdi Modarressi and Hamid Sarbazi-Azad 1.1 Introduction 4 1.2 Topology and Reconfiguration 8 1.3 The Proposed NoC Architecture 9 1.4 Energy and Performance-Aware Mapping 14 1.5 Experimental Results 19 1.6 Conclusion 25 2 COMPILERS, TECHNIQUES, AND TOOLS FOR SUPPORTING PROGRAMMING HETEROGENEOUS MANY/MULTICORE SYSTEMS 31 Pasquale Cantiello, Beniamino Di Martino, and Francesco Moscato 2.1 Introduction 32 2.

2 Programming Models and Tools for Many/Multicore 32 2.3 Compilers and Support Tools 42 2.4 CALuMET: A Tool for Supporting Software Parallelization 45 2.5 Conclusion 49 3 A MULTITHREADED BRANCH-AND-BOUND ALGORITHM FOR SOLVING THE FLOW-SHOP PROBLEM ON A MULTICORE ENVIRONMENT 53 Mohand Mezmaz, Nouredine Melab, and Daniel Tuyttens 3.1 Introduction 54 3.2 Flow-Shop Scheduling Problem 55 3.3 Parallel Branch-and-Bound Algorithms 56 3.4 A Multithreaded Branch-and-Bound 58 3.

5 The Proposed Multithreaded B&B 60 3.6 Experiments and Results 63 3.7 Conclusion 68 PART 2 PERVASIVE/UBIQUITOUS COMPUTING AND PEER-TO-PEER SYSTEMS 4 LARGE-SCALE P2P-INSPIRED PROBLEM-SOLVING: A FORMAL AND EXPERIMENTAL STUDY 73 Mathieu Djama¨ý, Bilel Derbel, and Nouredine Melab 4.1 Introduction 74 4.2 Background 77 4.3 A Pure Peer-to-Peer B&B Approach 80 4.4 Complexity Issues 87 4.5 Experimental Results 90 4.

6 Conclusion 99 Acknowledgment 99 5 DATA DISTRIBUTION MANAGEMENT 103 Azzedine Boukerche and Yunfeng Gu 5.1 Addressing DDM in Different Network Environments 104 5.2 DDM in P2P Overlay Networks 106 5.3 DDM in Cluster-Based Network Environments 111 6 MIDDLEWARE SUPPORT FOR CONTEXT HANDLING AND INTEGRATION IN UBIQUITOUS COMPUTING 123 Frederico Lopes, Paulo F. Pires, Flávia C. Delicato, Thais Batista, and Luci Pirmez 6.1 Introduction 124 6.2 Ubiquitous Computing 126 6.

3 Middleware for Ubiquitous Computing 128 6.4 A Solution to Integrating Context Provision Middleware for Ubiquitous Computing 133 6.5 Conclusion 142 PART 3 WIRELESS/MOBILE NETWORKS 7 CHALLENGES IN THE USE OF WIRELESS SENSOR NETWORKS FOR MONITORING THE HEALTH OF CIVIL STRUCTURES 147 Flávia C. Delicato, Igor L. dos Santos, Luci Pirmez, Paulo F. Pires, and Claudio M. de Farias 7.1 Introduction 148 7.

2 Structural Health Monitoring 150 7.3 Wireless Sensor Networks 155 7.4 Applying Wireless Sensor Networks for Structural Health Monitoring 157 7.5 Conclusion 163 8 MOBILITY EFFECTS IN WIRELESS MOBILE NETWORKS 167 Abbas Nayebi and Hamid Sarbazi-Azad 8.1 Introduction 167 8.2 The Effect of Node Mobility on Wireless Links 168 8.3 The Effect of Node Mobility on Network Topology 172 8.4 Conclusion 177 9 ANALYTICAL MODEL OF TIME-CRITICAL WIRELESS SENSOR NETWORK: THEORY AND EVALUATION 183 Kambiz Mizanian and Amir Hossein Jahangir 9.

1 Introduction 184 9.2 Real-Time Wireless Sensor Network: An Overview 185 9.3 Real-Time Degree 188 9.4 Reliable Real-Time Degree 195 9.5 Model Validation 197 9.6 Conclusion 199 10 MULTICAST TRANSPORT PROTOCOLS FOR LARGE-SCALE DISTRIBUTED COLLABORATIVE ENVIRONMENTS 203 Haifa Raja Maamar and Azzedine Boukerche 10.1 Introduction 204 10.2 Definition and Features 204 10.

3 Classification of Multicast Protocols 207 10.4 Conclusion 216 11 NATURE-INSPIRED COMPUTING FOR AUTONOMIC WIRELESS SENSOR NETWORKS 219 Wei Li, Javid Taheri, Albert Y. Zomaya, Franciszek Seredynski, and Bjorn Landfeldt 11.1 Introduction 220 11.2 Autonomic WSNs 222 11.3 Principles of Nature-Inspired Computing 224 11.4 Cellular Automata 226 11.5 Swarm Intelligence 228 11.

6 Artificial Immune Systems 233 11.7 Evolutionary Computing 238 11.8 Molecular Biology 242 11.9 Bio-Networking Architecture 243 11.10 Conclusion 244 PART 4 GRID AND CLOUD COMPUTING 12 SMART RPC-BASED COMPUTING IN GRIDS AND ON CLOUDS 257 Thomas Brady, Oleg Girko, and Alexey Lastovetsky 12.1 Introduction 258 12.2 SmartGridRPC and SmartGridSolve 266 12.3 Making SmartGridSolve Smarter 277 12.

4 Smart RPC-Based Computing on Clouds: Adaptation of SmartGridRPC and SmartGridSolve to Cloud Computing 282 13 PROFIT-MAXIMIZING RESOURCE ALLOCATION FOR MULTITIER CLOUD COMPUTING SYSTEMS UNDER SERVICE LEVEL AGREEMENTS 291 Hadi Goudarzi and Massoud Pedram 13.1 Introduction 292 13.2 Review of Datacenter Power Management Techniques 294 13.3 Review of Datacenter Performance Management Techniques 296 13.4 System Model of a Multitier Application Placement Problem 298 13.5 Profit Maximization in a Hosting Datacenter 303 13.6 Simulation Results 310 13.7 Conclusion 314 14 MARKET-ORIENTED CLOUD COMPUTING AND THE CLOUDBUS TOOLKIT 319 Rajkumar Buyya, Suraj Pandey, and Christian Vecchiola 14.

1 Introduction 320 14.2 Cloud Computing 322 14.3 Cloudbus: Vision and Architecture 338 14.4 Cloudbus and Clouds Lab Technologies 340 14.5 Experimental Results 345 14.6 Related Technologies, Integration, and Deployment 350 14.7 Conclusion 351 15 A CLOUD BROKER ARCHITECTURE FOR MULTICLOUD ENVIRONMENTS 359 Jose Luis Lucas-Simarro, Iñigo San Aniceto, Rafael Moreno-Vozmediano, Ruben S. Montero, and Ignacio M.

Llorente 15.1 Introduction 360 15.2 State of the Art on Cloud Brokering 361 15.3 Challenges of Cloud Brokering 363 15.4 Proposal of a Broker Architecture for Multicloud Environments 364 15.5 Scheduling Policies for Efficient Cloud Brokering 367 15.6 Results 369 15.7 Conclusion 373 16 ENERGY-EFFICIENT RESOURCE UTILIZATION IN CLOUD COMPUTING 377 Giorgio L.

Valentini, Samee U. Khan, and Pascal Bouvry 16.1 Introduction 378 16.2 Related Work 380 16.3 Energy-Efficient Utilization of Resources in Cloud Computing Systems 381 16.4 Complementarity Approach 386 16.5 Simulation Results 395 16.6 Discussion of Results 402 16.

7 Conclusion 404 17 SEMANTICS-BASED RESOURCE DISCOVERY IN LARGE-SCALE GRIDS 409 Juan Li, Samee U. Khan, and Nasir Ghani 17.1 Introduction 410 17.2 Related Work 411 17.3 Virtual Organization Formation 412 17.4 Semantics-Based Resource Discovery in Virtual Organizations 417 17.5 Prototype Implementation and Evaluation 421 17.6 Conclusion 427 18 GAME-BASED MODELS OF GRID USER''S DECISIONS IN SECURITY-AWARE SCHEDULING 431 Joanna Kolodziej, Samee U.

Khan, Lizhe Wang, and Dan Chen 18.1 Introduction 432 18.2 Security-Aware Scheduling Problems in Computational Grids 433 18.3 Game Models in Security-Aware Grid Scheduling 441 18.4 Case Study: Approximating the Equilibrium States of the End Users'' Symmetric Game Using the Genetic Metaheuristics 447 18.5 Conclusion 460 19 ADDRESSING OPEN ISSUES ON PERFORMANCE EVALUATION IN CLOUD COMPUTING 463 Beniamino Di Martino, Massimo Ficco, Massimiliano Rak,and Salvatore Venticinque 19.1 Introduction 464 19.2 Benchmarking Approaches 465 19.

3 Monitoring in Cloud Computing 468 19.4 Attack Countermeasures in Cloud Computing 474 19.5 Conclusion 480 20 BROKER-MEDIATED CLOUD-AGGREGATION MECHANISM USING MARKOVIAN QUEUES FOR SCHEDULING BAG-OF-TASKS (BOT) APPLICATIONS 485 Ganesh Neelakanta Iyer and Bharadwaj Veeravalli 20.1 Introduction 486 20.2 Literature Review and Contributions 487 20.3 Problem Setting and Notations 488 20.4 Proposed Cloud Aggregation Mechanism 489 20.5 Performance Evaluation and Discussions 494 20.

6 Discussions 497 20.7 Conclusion 498 21 ON THE DESIGN OF A BUDGET-CONSCIOUS ADAPTIVE SCHEDULER FOR HANDLING LARGE-SCALE MANY-TASK WORKFLOW APPLICATIONS IN CLOUDS 503 Bharadwaj Veeravalli, Lingfang Zeng, and Xiaorong Li 21.1 Introduction 504 21.2 Related Work and Motivation 505 21.3 System Model and Problem Setting 506 21.4 Proposed Scheduling Algorithm 512 21.5 Performance Evaluation and Results 516 21.6 Conclusion 522 22 VIRTUALIZED ENVIRONMENT ISSUES IN THE CONTEXT OF A SCIENTIFIC PRIVATE CLOUD 527 Bruno Schulze, Henrique de Medeiros Kl^oh, Matheus Bousquet Bandini, Antonio Roberto Mury, Daniel Massami Muniz Yokoyama, Victor Dias de Oliveira, F´abio Andr´e Machado Porto, and Giacomo Victor McEvoy Valenzano 22.

1 Introduction 528 22.2 Related Works 528 22.3 Methodology 531 22.4 Experiments 533 22.5 Conclusion 544 22.6 Glossary 546 PART 5 OTHER TOPICS RELATED TO NETWORK-CENTRIC COMPUTING AND ITS APPLICATIONS 23 IN-ADVANCE BANDWIDTH SCHEDULING IN e-SCIENCE NETWORKS 551 Yan Li, Eunsung Jung, Sanjay Ranka, Nageswara S. Rao, and Sartaj Sahni 23.1 Introduction 552 23.

2 Temporal Network Model 554 23.3 Single-Path Scheduling 556 23.4 Multiple-Path Scheduling 570 23.5 Conclusion 587 24 ROUTING AND WAVELENGTH ASSIGNMENT IN OPTICAL NETWORKS 591 Yan Li, Sanjay Ranka,.