rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Distributed and Parallel Computing
    sub title: 6th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP, Melbourne, Australia, October 2-3, 2005. Proceedings
  name:
    name part: Hobbs, Michael.
    role:
      role term: editor.
  name:
    name part: Goscinski, Andrzej M.
    role:
      role term: editor.
  name:
    name part: Zhou, Wanlei.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 452 p. online resource.
  abstract: There are many applications that require parallel and distributed processing to allow complicated engineering, business and research problems to be solved in a reasonable time. Parallel and distributed processing is able to improve company profit, lower costs of design, production, and deployment of new technologies, and create better business environments. The major lesson learned by car and aircraft engineers, drug manufacturers, genome researchers and other specialist is that a computer system is a very powerful tool that is able to help them solving even more complicated problems. That has led computing specialists to new computer system architecture and exploiting parallel computers, clusters of clusters, and distributed systems in the form of grids. There are also institutions that do not have so complicated problems but would like to improve profit, lower costs of design and production by using parallel and distributed processing on clusters. In general to achieve these goals, parallel and distributed processing must become the computing mainstream. This implies a need for new architectures of parallel and distributed systems, new system management facilities, and new application algorithms. This also implies a need for better understanding of grids and clusters, and in particular their operating systems, scheduling algorithms, load balancing, heterogeneity, transparency, application deployment, which is of the most critical importance for their development and taking them by industry and business.
  table of contents: Improving Concurrent Write Scheme in File Server Group -- A Comparative Performance Study of Distributed Mutual Exclusion Algorithms with a Class of Extended Petri Nets -- A Practical Comparison of Cluster Operating Systems Implementing Sequential and Transactional Consistency -- Clock Synchronization State Graphs Based on Clock Precision Difference -- A Recursive-Adjustment Co-allocation Scheme in Data Grid Environments -- Reducing the Bandwidth Requirements of P2P Keyword Indexing -- A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids -- A Survivability Model for Cluster System -- Localization Techniques for Cluster-Based Data Grid -- GridFTP and Parallel TCP Support in NaradaBrokering -- 2-Layered Metadata Service Model in Grid Environment -- pKSS: An Efficient Keyword Search System in DHT Peer-to-Peer Network -- A Comparative Study at the Logical Level of Centralised and Distributed Recovery in Clusters -- Toward Self Discovery for an Autonomic Cluster -- Mining Traces of Large Scale Systems -- Setup Algorithm of Web Service Composition -- Self Healing and Self Configuration in a WSRF Grid Environment -- Study on Life Cycle Model of Dynamic Composed Web Services -- Fault-Tolerant Dynamic Job Scheduling Policy -- An Efficient Dynamic Load-Balancing Algorithm in a Large-Scale Cluster -- Job Scheduling Policy for High Throughput Grid Computing -- High Performance Task Scheduling Algorithm for Heterogeneous Computing System -- Execution Environments and Benchmarks for the Study of Applications’ Scheduling on Clusters -- Data Distribution Strategies for Domain Decomposition Applications in Grid Environments -- Inter-round Scheduling for Divisible Workload Applications -- Scheduling Divisible Workloads Using the Adaptive Time Factoring Algorithm -- Adaptive Policy Triggering for Load Balancing -- Parallel Algorithms for Fault-Tolerant Mobile Agent Execution -- Design and Multithreading Implementation of the Wave-Front Algorit…
  note: edited by Michael Hobbs, Andrzej M. Goscinski, Wanlei Zhou.
  subject:
    topic: Computer science
  subject:
    topic: Computer organization
  subject:
    topic: Architecture, Computer
  subject:
    topic: Software engineering
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Computer simulation
  subject:
    topic: Computer Science
  subject:
    topic: Computer System Implementation
  subject:
    topic: Software Engineering/Programming and Operating Systems
  subject:
    topic: Computer Systems Organization and Communication Networks
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Simulation and Modeling
  classification: QA76.9.A73
  classification: QA76.9.S88
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 3719
  identifier: 9783540320715
  identifier: http://dx.doi.org/10.1007/11564621
  record info:
    record creation date: 100317
    record change date: 20151204165306.0
    record identifier: 978-3-540-32071-5