Resource Management in a Distributed Computing Environment
Author: A. Warren Pratten
Publisher:
Published: 1994
Total Pages: 110
ISBN-13:
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Resource Management and Efficiency in Cloud Computing Environments
Author: Turuk, Ashok Kumar
Publisher: IGI Global
Published: 2016-11-08
Total Pages: 369
ISBN-13: 1522517227
DOWNLOAD EBOOKToday’s advancements in technology have brought about a new era of speed and simplicity for consumers and businesses. Due to these new benefits, the possibilities of universal connectivity, storage and computation are made tangible, thus leading the way to new Internet-of Things solutions. Resource Management and Efficiency in Cloud Computing Environments is an authoritative reference source for the latest scholarly research on the emerging trends of cloud computing and reveals the benefits cloud paths provide to consumers. Featuring coverage across a range of relevant perspectives and topics, such as big data, cloud security, and utility computing, this publication is an essential source for researchers, students and professionals seeking current research on the organization and productivity of cloud computing environments.
Resource Management on Distributed Systems
Author: Shikharesh Majumdar
Publisher: John Wiley & Sons
Published: 2024-09-06
Total Pages: 324
ISBN-13: 1119912954
DOWNLOAD EBOOKComprehensive 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 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 focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. 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.
Integrating the Linda Distributed Computing Environment Into the SmartNet Resource Management System
Author: David E. Collins
Publisher:
Published: 1995
Total Pages: 178
ISBN-13:
DOWNLOAD EBOOKResource Management in Distributed Systems
Author: Anwesha Mukherjee
Publisher: Springer Nature
Published:
Total Pages: 319
ISBN-13: 9819726441
DOWNLOAD EBOOKJob Scheduling Strategies for Parallel Processing
Author: Dror G. Feitelson
Publisher: Springer Science & Business Media
Published: 1999-10-13
Total Pages: 243
ISBN-13: 3540666761
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP'99, held in San Juan, Puerto Rico, in April 1999, as a satelite meeting of IPPS/SPDP'99. The 12 revised full papers have been through an iterated reviewing process and present the state of the art in the area.
Resource Management in Mobile Computing Environments
Author: Constandinos X. Mavromoustakis
Publisher: Springer
Published: 2014-06-09
Total Pages: 598
ISBN-13: 3319067044
DOWNLOAD EBOOKThis book reports the latest advances on the design and development of mobile computing systems, describing their applications in the context of modeling, analysis and efficient resource management. It explores the challenges on mobile computing and resource management paradigms, including research efforts and approaches recently carried out in response to them to address future open-ended issues. The book includes 26 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of mobile computing, from basic concepts to advanced findings, reporting the state-of-the-art on resource management in such environments. It is mainly intended as a reference guide for researchers and practitioners involved in the design, development and applications of mobile computing systems, seeking solutions to related issues. It also represents a useful textbook for advanced undergraduate and graduate courses, addressing special topics such as: mobile and ad-hoc wireless networks; peer-to-peer systems for mobile computing; novel resource management techniques in cognitive radio networks; and power management in mobile computing systems.
Framework for Efficient Resource Management in Collaborative and Distributive Computing Environment
Author: Younki Cho
Publisher:
Published: 2000
Total Pages: 176
ISBN-13:
DOWNLOAD EBOOKAdaptive Resource Management and Scheduling for Cloud Computing
Author: Florin Pop
Publisher: Springer
Published: 2016-01-07
Total Pages: 197
ISBN-13: 3319284487
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2015, in Donostia-San Sebastián, Spain, in July 2015. The 12 revised full papers, including 1 invited paper, were carefully reviewed and selected from 24 submissions. The papers have identified several important aspects of the problem addressed by ARMS-CC: self-* and autonomous cloud systems, cloud quality management and service level agreement (SLA), scalable computing, mobile cloud computing, cloud computing techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing, cloud composition, federation, bridging, and bursting, cloud resource virtualization and composition, load-balancing and co-allocation, fault tolerance, reliability, and availability of cloud systems.
Job Scheduling Strategies for Parallel Processing
Author: Dror G. Feitelson
Publisher: Springer
Published: 2001-10-30
Total Pages: 216
ISBN-13: 9783540428176
DOWNLOAD EBOOKThis book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2001, held in Cambridge, MA, USA, in June 2001. The 11 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision, and present state-of-the-art results in the area.
