Scheduling Parallel Applications on Heterogeneous Distributed Systems
Scheduling Parallel Applications on Heterogeneous Distributed Systems

Author: Guoqi Xie

Publisher: Springer

Published: 2019-08-06

Total Pages: 257

ISBN-13: 9811365571

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This book focuses on scheduling algorithms for parallel applications on heterogeneous distributed systems, and addresses key scheduling requirements – high performance, low energy consumption, real time, and high reliability – from the perspectives of both theory and engineering practice. Further, it examines two typical application cases in automotive cyber-physical systems and cloud systems in detail, and discusses scheduling challenges in connection with resource costs, reliability and low energy. The book offers a comprehensive and systematic treatment of high-performance, low energy consumption, and high reliability issues on heterogeneous distributed systems, making it a particularly valuable resource for researchers, engineers and graduate students in the fields of computer science and engineering, information science and engineering, and automotive engineering, etc. The wealth of motivational examples with figures and tables make it easy to understand.

Energy-aware Scheduling on Multiprocessor Platforms
Energy-aware Scheduling on Multiprocessor Platforms

Author: Dawei Li

Publisher: Springer Science & Business Media

Published: 2012-10-19

Total Pages: 67

ISBN-13: 1461452244

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Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms. Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multiprocessor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority scheduling, partition-based/global scheduling, and application-specific power consumption, etc.

Linear and Nonlinear Optimization
Linear and Nonlinear Optimization

Author: Igor Griva

Publisher: SIAM

Published: 2009-03-26

Total Pages: 742

ISBN-13: 0898716616

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Flexible graduate textbook that introduces the applications, theory, and algorithms of linear and nonlinear optimization in a clear succinct style, supported by numerous examples and exercises. It introduces important realistic applications and explains how optimization can address them.

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions

Author: Sarvesh Pandey

Publisher: Springer Nature

Published: 2023-01-25

Total Pages: 339

ISBN-13: 3031155424

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This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.

Distributed Computing for Emerging Smart Networks
Distributed Computing for Emerging Smart Networks

Author: Imen Jemili

Publisher: Springer Nature

Published: 2020-01-24

Total Pages: 153

ISBN-13: 3030401316

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This book contains extended versions of the best papers presented at the First International Workshop on Distributed Computing for Emerging Smart Networks, DiCES-N 2019, held in Hammamet, Tunisia, in October 2019. The 9 revised full papers included in this volume were carefully reviewed and selected from 24 initial submissions. The papers are organized in the following topical sections: ​intelligent transportation systems; distributed computing for networking and communication; articial intelligence applied to cyber physical systems.

Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores
Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores

Author: Santiago Pagani

Publisher: Springer

Published: 2018-04-26

Total Pages: 295

ISBN-13: 3319774794

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This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.

Energy-Efficient Computing and Communication
Energy-Efficient Computing and Communication

Author: Sangheon Pack

Publisher: MDPI

Published: 2020-06-18

Total Pages: 116

ISBN-13: 3039361481

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Information and communication technology (ICT) is reponsible for up to 10% of world power consumption. In particular, communications and computing systems are indispensable elements in ICT; thus, determining how to improve the energy efficiency in communications and computing systems has become one of the most important issues for realizing green ICT. Even though a number of studies have been conducted, most of them focused on one aspect—either communications or computing systems. However, salient features in communications and computing systems should be jointly considered, and novel holistic approaches across communications and computing systems are strongly required to implement energy-efficient systems. In addition, emerging systems, such as energy-harvesting IoT devices, cyber-physical systems (CPSs), autonomous vehicles (AVs), and unmanned aerial vehicles (UAVs), require new approaches to satisfy their strict energy consumption requirements in mission-critical situations. The goal of this Special Issue is to disseminate the recent advances in energy-efficient communications and computing systems. Review and survey papers on these topics are welcome. Potential topics include, but are not limited to, the following: • energy-efficient communications: from physical layer to application layer; • energy-efficient computing systems; • energy-efficient network architecture: through SDN/NFV/network slicing; • energy-efficient system design; • energy-efficient Internet of Things (IoT) and Industrial IoT (IIoT); • energy-efficient edge/fog/cloud computing; • new approaches for energy-efficient computing and communications (e.g., AI/ML and data-driven approaches); • new performance metrics on energy efficiency in emerging systems; • energy harvesting and simultaneous wireless information and power transfer (SWIPT); • smart grid and vehicle-to-grid (V2G); and • standardization and open source activities for energy efficient systems.

Data Management, Analytics and Innovation
Data Management, Analytics and Innovation

Author: Neha Sharma

Publisher: Springer Nature

Published: 2019-10-24

Total Pages: 727

ISBN-13: 9813299495

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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2021-01-25

Total Pages: 2700

ISBN-13: 1799853403

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Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.