Scalable Computing and Communications: Theory and Practice

  • 16h 35m
  • Albert Y. Zomaya, Lizhe Wang (eds), Samee U. Khan
  • John Wiley & Sons (US)
  • 2013

In telecommunications and software engineering, scalability is the ability of a system, network, or process to either handle growing amounts of work in a graceful manner or be enlarged to accommodate that growth. It is a desirable property for many scientific, industrial, and business applications and an important feature for hardware.

This immersive book summarizes the latest research achievements in the field of scalable computing and covers new topics that have emerged recently on computing and communications, such as unconventional computing, green and sustainable computing, cloud and volunteer computing, and more. Filled with contributions from world-renowned engineers, researchers, and IT professionals in diverse areas, Scalable Computing and Communications covers:

  • Circuit and component design
  • Operating systems
  • Green computing
  • Network-on-chip paradigms
  • Computational grids
  • High-performance computing
  • Software
  • Networking in scalable computing and mobile computing
  • Next-generation networking
  • Cloud computing
  • Peer-to-peer systems

Scalable Computing and Communications is well organized with basic concepts, software infrastructure and middleware, and applications and systems. Filled with numerous case studies, figures, and tables, it is a valuable book that offers great insight into future trends and emerging topics for professionals and students in the field.

About the Editors

SAMEE U. KHAN, PhD, is Assistant Professor of Electrical and Computer Engineering at North Dakota State University. He is the founding director of the bi-institutional and multi-departmental NDSU-CIIT Green Computing and Communications Laboratory (GCC Lab) and an Adjunct Professor of Computer Science, COMSATS Institute of Information Technology, Pakistan.

ALBERT Y. ZOMAYA, PhD, is the Chair Professor of High Performance Computing and Networking, and Australian Research Council Professorial Fellow in the School of Information Technologies, The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing as well as the Series Editor for the Wiley Series on Parallel and Distributed Computing.

LIZHE WANG, PhD, is a Professor at the Center for Earth Observation and Digital Earth, Chinese Academy of Sciences. He is the ChuTian Scholar Chair Professor in the School of Computer, China University of Geosciences. A senior member of the IEEE, professional member of ACM, and member of the IEEE Computer Society, Dr. Wang has published six books and more than fifty technical papers.

In this Book

  • Scalable Computing and Communications: Past, Present, and Future
  • Reliable Minimum Connected Dominating Sets for Topology Control in Probabilistic Wireless Sensor Networks
  • Peer Selection Schemes in Scalable P2P Video Streaming Systems
  • Multicore and Many-Core Computing
  • Scalable Computing on Large Heterogeneous CPU/GPU Supercomputers
  • Diagnosability of Multiprocessor Systems
  • A Performance Analysis Methodology for MultiCore, Multithreaded Processors
  • The Future in Mobile Multicore Computing
  • Modeling and Algorithms for Scalable and Energy-Efficient Execution on Multicore Systems
  • Cost Optimization for Scalable Communication in Wireless Networks with Movement-Based Location Management
  • A Framework for Semiautomatic Explicit Parallelization
  • Fault Tolerance and Transmission Reliability in Wireless Networks
  • Optimizing and Tuning Scientific Codes
  • Privacy and Confidentiality in Cloud Computing
  • Reputation Management Systems for Peer-to-Peer Networks
  • Toward a Secure Fragment Allocation of Files in Heterogeneous Distributed Systems
  • Adopting Compression in Wireless Sensor Networks
  • GFOG: Green and Flexible Opportunistic Grids
  • Maximizing Real-Time System Utilization by Adjusting Task Computation Times
  • Multilevel Exploration of the Optimization Landscape through Dynamical Fitness for Grid Scheduling
  • Implementing Pointer Jumping for Exact Inference on Many-Core Systems
  • Performance Optimization of Scientific Applications Using an Autonomic Computing Approach
  • A Survey of Techniques for Improving Search Engine Scalability through Profiling, Prediction, and Prefetching of Query Results
  • KNN Queries in Mobile Sensor Networks
  • Data Partitioning for Designing and Simulating Efficient Huge Databases
  • Scalable Runtime Environments for Large-Scale Parallel Applications
  • Increasing Performance through Optimization on APU
  • Toward Optimizing Cloud Computing: An Example of Optimization under Uncertainty
  • Modeling of Scalable Embedded Systems
  • Scalable Service Composition in Pervasive Computing
  • Virtualization Techniques for Graphics Processing Units
  • Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach
  • Fault-Tolerance Techniques for Scalable Computing
  • Parallel Programming Models for Scalable Computing
  • Grid Simulation Tools for Job Scheduling and Data File Replication
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