Network-Centric Distributed Sy

ISBN-13: 9780470936887 / Angielski / Twarda / 2013 / 760 str.

H. Sarbazi-Azad

Opis

A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wireless networks, this book focuses on the design and performance issues of such systems. Large Scale Network-Centric Distributed Systems provides in-depth coverage ranging from ground-level hardware issues (such as buffer organization, router delay, and flow control) to the high-level issues immediately concerning application or system users (including parallel programming, middleware, and OS support for such computing systems). Arranged in five parts, it explains and analyzes complex topics to an unprecedented degree:

• Part 1: Multicore and Many-Core (Mc) Systems-on-Chip
• Part 2: Pervasive/Ubiquitous Computing and Peer-to-Peer Systems
• Part 3: Wireless/Mobile Networks
• Part 4: Grid and Cloud Computing
• Part 5: Other Topics Related to Network-Centric Computing and Its Applications

Large Scale Network-Centric Distributed Systems is an incredibly useful resource for practitioners, postgraduate students, postdocs, and researchers.

Spis treści

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, and Sartaj Sahni

24.1 Introduction 592

24.2 Scheduling in Full–Wavelength Conversion Network 593

24.3 Scheduling in Sparse Wavelength Conversion Network 603

25 COMPUTATIONAL GRAPH ANALYTICS FOR MASSIVE STREAMING DATA 619
David Ediger, Jason Riedy, David A. Bader, and Henning Meyerhenke

25.1 Introduction 620

25.2 STINGER: A General–Purpose Data Structure for Dynamic Graphs 622

25.3 Algorithm for Updating Clustering Coefficients 625

25.4 Tracking Connected Components in Scale–Free Graphs 628

25.5 Implementation 632

25.6 Experimental Results 634

25.7 Related Work 643

25.8 Conclusion 644

26 KNOWLEDGE MANAGEMENT FOR FAULT–TOLERANT WATER DISTRIBUTION 649
Jing Lin, Ali Hurson, and Sahra Sedigh

26.1 Introduction 650

26.2 Related Work 652

26.3 Agent–Based Model for WDN Operation 653

26.4 Classes in WDN Ontology Framework 656

26.5 Automated Failure Classification and Mitigation 659

26.6 Validation of Automated Failure Mitigation 668

26.7 Conclusion 674

Acknowledgment 675

References 675

Index 679

O autorze

HAMID SARBAZI–AZAD, PhD, is Professor of Computer Engineering at Sharif University of Technology and heads the School of Computer Science at the Institute for Research in Fundamental Sciences (IPM) in Tehran, Iran. His research interests include high–performance computing architectures and networks, SoC and NoCs, and memory/storage systems. He has been the editor–in–chief of the CSI Journal on Computer Science & Engineering, and associate editor/editor/guest editor of several related journals including IEEE Transactions on Computers. He has received the Khwarizmi International Award and the TWAS Young Scientist Award in 2007.

ALBERT Y. ZOMAYA, PhD, is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies at The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing. Professor Zomaya is the author/coauthor of seven books, more than 450 publications in technical journals and conference proceedings, and the editor of fourteen books and nineteen conference volumes. He is a Fellow of the AAAS, IEEE, and IET.