Temporal QOS Management in Scientific Cloud Workflow Systems

Chapter 1 Introduction -- Chapter 2 Literature Review and Problem Analysis -- Chapter 3 A Scientific Cloud Workflow System -- Chapter 4 Novel Probabilistic Temporal Framework -- Chapter 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals -- Chapter 6 Temporal Constraint Setting -- Chapter 7 Temporal Checkpoint Selection and Temporal Verification -- Chapter 8 Temporal Violation Handling Point Selection -- Chapter 9 Temporal Violation Handling -- Chapter 10 Conclusions and Contribution Bibliography.

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  • Author : Xiao Liu
  • Publisher : Elsevier
  • Pages : 140 pages
  • ISBN : 0123970105
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKTemporal QOS Management in Scientific Cloud Workflow Systems

Temporal QOS Management in Scientific Cloud Workflow Systems

Temporal QOS Management in Scientific Cloud Workflow Systems
  • Author : Xiao Liu,Jinjun Chen,Yun Yang
  • Publisher : Elsevier
  • Release : 24 July 2021
GET THIS BOOKTemporal QOS Management in Scientific Cloud Workflow Systems

Chapter 1 Introduction -- Chapter 2 Literature Review and Problem Analysis -- Chapter 3 A Scientific Cloud Workflow System -- Chapter 4 Novel Probabilistic Temporal Framework -- Chapter 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals -- Chapter 6 Temporal Constraint Setting -- Chapter 7 Temporal Checkpoint Selection and Temporal Verification -- Chapter 8 Temporal Violation Handling Point Selection -- Chapter 9 Temporal Violation Handling -- Chapter 10 Conclusions and Contribution Bibliography.

Temporal QOS Management in Scientific Cloud Workflow Systems

Temporal QOS Management in Scientific Cloud Workflow Systems
  • Author : Xiao Liu,Jinjun Chen,Yun Yang
  • Publisher : Elsevier
  • Release : 20 February 2012
GET THIS BOOKTemporal QOS Management in Scientific Cloud Workflow Systems

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real world scientific applications which often must

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  • Publisher : Springer
  • Release : 02 February 2015
GET THIS BOOKProcess-Aware Systems

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The Design of Cloud Workflow Systems
  • Author : Xiao Liu,Dong Yuan,Gaofeng Zhang,Wenhao Li,Dahai Cao,Qiang He,Jinjun Chen,Yun Yang
  • Publisher : Springer Science & Business Media
  • Release : 02 November 2011
GET THIS BOOKThe Design of Cloud Workflow Systems

Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue for the delivery

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  • Publisher : Springer Science & Business Media
  • Release : 11 September 2010
GET THIS BOOKHandbook of Cloud Computing

Cloud computing has become a significant technology trend. Experts believe cloud computing is currently reshaping information technology and the IT marketplace. The advantages of using cloud computing include cost savings, speed to market, access to greater computing resources, high availability, and scalability. Handbook of Cloud Computing includes contributions from world experts in the field of cloud computing from academia, research laboratories and private industry. This book presents the systems, tools, and services of the leading providers of cloud computing; including

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  • Publisher : IGI Global
  • Release : 31 May 2009
GET THIS BOOKQuantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments

"This book provides research into parallel & distributed computing, high performance computing, and Grid computing"--Provided by publisher.

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  • Publisher : Springer
  • Release : 30 May 2018
GET THIS BOOKAutonomous Control for a Reliable Internet of Services

This open access book was prepared as a Final Publication of the COST Action IC1304 “Autonomous Control for a Reliable Internet of Services (ACROSS)”. The book contains 14 chapters and constitutes a show-case of the main outcome of the Action in line with its scientific goals. It will serve as a valuable reference for undergraduate and post-graduate students, educators, faculty members, researchers, engineers, and research strategists working in this field. The explosive growth of the Internet has fundamentally changed the global

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  • Publisher : CRC Press
  • Release : 11 July 2019
GET THIS BOOKCloud Computing in Remote Sensing

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote

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  • Author : Leandro Soares Indrusiak ,Piotr Dziurzanski,Amit Kumar Singh
  • Publisher : River Publishers
  • Release : 31 October 2016
GET THIS BOOKDynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy

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  • Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
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  • Release : 12 June 2017
GET THIS BOOKSoftware Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied

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  • Publisher : Springer Science & Business Media
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GET THIS BOOKCloud Computing

Cloud computing continues to emerge as a subject of substantial industrial and academic interest. Although the meaning and scope of “cloud computing” continues to be debated, the current notion of clouds blurs the distinctions between grid services, web services, and data centers, among other areas. Clouds also bring considerations of lowering the cost for relatively bursty applications to the fore. Cloud Computing: Principles, Systems and Applications is an essential reference/guide that provides thorough and timely examination of the services,

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  • Publisher : Springer
  • Release : 08 September 2008
GET THIS BOOKMetaheuristics for Scheduling in Distributed Computing Environments

Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations

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  • Release : 26 June 2017
GET THIS BOOKCloud Broker and Cloudlet for Workflow Scheduling

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GET THIS BOOKCloud Computing

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