Author: Shikharesh Majumdar
Publisher: John Wiley & Sons
ISBN: 1119912938
Category : Computers
Languages : en
Pages : 324
Book Description
Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems. Resource Management on Distributed Systems provides helpful guidance on resource management questions by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book introduces four general principles of resource management with a discussion of their impact on system performance, energy usage, and cost, and includes a set of exercises at the end of a chapter. To provide extensive coverage of the subject, the text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics. Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system. Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics. Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Resource Management on Distributed Systems
Author: Shikharesh Majumdar
Publisher: John Wiley & Sons
ISBN: 1119912938
Category : Computers
Languages : en
Pages : 324
Book Description
Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems. Resource Management on Distributed Systems provides helpful guidance on resource management questions by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book introduces four general principles of resource management with a discussion of their impact on system performance, energy usage, and cost, and includes a set of exercises at the end of a chapter. To provide extensive coverage of the subject, the text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics. Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system. Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics. Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Publisher: John Wiley & Sons
ISBN: 1119912938
Category : Computers
Languages : en
Pages : 324
Book Description
Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems. Resource Management on Distributed Systems provides helpful guidance on resource management questions by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book introduces four general principles of resource management with a discussion of their impact on system performance, energy usage, and cost, and includes a set of exercises at the end of a chapter. To provide extensive coverage of the subject, the text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics. Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system. Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics. Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Resource Management in Distributed Systems
Resource Management in Distributed Systems
Author: Anwesha Mukherjee
Publisher: Springer Nature
ISBN: 9819726441
Category :
Languages : en
Pages : 319
Book Description
Publisher: Springer Nature
ISBN: 9819726441
Category :
Languages : en
Pages : 319
Book Description
System Resource Management for Distributed Real-time Systems
Author: Michael Davis
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 106
Book Description
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 106
Book Description
Resource Management in Parallel and Distributed Systems
Resource Management for Distributed Multimedia Systems
Author: Lars Christian Wolf
Publisher: Springer Science & Business Media
ISBN: 1461314135
Category : Computers
Languages : en
Pages : 152
Book Description
Resource Management for Distributed Multimedia Systems addresses the problems and challenges of handling several continuous- media data streams in networked multimedia environments. The work demonstrates how resource management mechanisms can be integrated into a stream handling system. The resulting system includes functions for Quality of Service (QoS) calculations, scheduling, determination of resource requirements, and methods to reduce resource requirements. The work explains the following: a suitable system architecture and resource management scheme that allows for the provision and enforcement of QoS guarantee, resource scheduling mechanisms for CPU and buffer space, mechanisms to measure and collect resource requirements, methods to extend resource management to future scenarios by allowing the reservation of resources in advance and offering sealing mechanisms. . Resource Management for Distributed Multimedia Systems is a comprehensive view of resource management for a broad technical audience that includes computer scientists and engineers involved in developing multimedia applications.
Publisher: Springer Science & Business Media
ISBN: 1461314135
Category : Computers
Languages : en
Pages : 152
Book Description
Resource Management for Distributed Multimedia Systems addresses the problems and challenges of handling several continuous- media data streams in networked multimedia environments. The work demonstrates how resource management mechanisms can be integrated into a stream handling system. The resulting system includes functions for Quality of Service (QoS) calculations, scheduling, determination of resource requirements, and methods to reduce resource requirements. The work explains the following: a suitable system architecture and resource management scheme that allows for the provision and enforcement of QoS guarantee, resource scheduling mechanisms for CPU and buffer space, mechanisms to measure and collect resource requirements, methods to extend resource management to future scenarios by allowing the reservation of resources in advance and offering sealing mechanisms. . Resource Management for Distributed Multimedia Systems is a comprehensive view of resource management for a broad technical audience that includes computer scientists and engineers involved in developing multimedia applications.
Resource Management in Distributed Systems Using CORBA
Resource Management in Distributed Systems Using CORBA
Resource Management Techniques for Multiprogrammed Distributed Systems
Author: Luis Miguel Campos
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 262
Book Description
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 262
Book Description