Parallel Scheduling In The Cloud Systems
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Parallel Scheduling In The Cloud Systems
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Author : Mohammed Albarra Hassan Abdeljabbar Hassan
language : en
Publisher:
Release Date : 2016
Parallel Scheduling In The Cloud Systems written by Mohammed Albarra Hassan Abdeljabbar Hassan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
The Cloud Computing appears as a strong concept to share costs and resources related to the use of end-users. As a consequence, several related models exist and are widely used (IaaS, PaaS, SaaS. . .). In this context, our research focused on the design of new methodologies and algorithms to optimize performances using the scheduling and combinatorial theories. We were interested in the performance optimization of a Cloud Computing environment where the resources are heterogeneous (operators, machines, processors...) but limited. Several scheduling problems have been addressed in this thesis. Our objective was to build advanced algorithms by taking into account all these additional specificities of such an environment and by ensuring the performance of solutions. Generally, the scheduling function consists in organizing activities in a specific system imposing some rules to respect. The scheduling problems are essential in the management of projects, but also for a wide set of real systems (telecommunication, computer science, transportation, production...). More generally, solving a scheduling problem can be reduced to the organization and the synchronization of a set of activities (jobs or tasks) by exploiting the available capacities (resources). This execution has to respect different technical rules (constraints) and to provide the maximum of effectiveness (according to a set of criteria). Most of these problems belong to the NP-Hard problems class for which the majority of computer scientists do not expect the existence of a polynomial exact algorithm unless P=NP. Thus, the study of these problems is particularly interesting at the scientific level in addition to their high practical relevance. In particular, we aimed to build new efficient combinatorial methods for solving parallel-machine scheduling problems where resources have different speeds and tasks are linked by precedence constraints. In our work we studied two methodological approaches to solve the problem under the consideration : exact and meta-heuristic methods. We studied three scheduling problems, where the problem of task scheduling in cloud environment can be generalized as unrelated parallel machines, and open shop scheduling problem with different constraints. For solving the problem of unrelated parallel machines with precedence constraints, we proposed a novel genetic-based task scheduling algorithms in order to minimize maximum completion time (makespan). These algorithms combined the genetic algorithm approach with different techniques and batching rules such as list scheduling (LS) and earliest completion time (ECT). We reviewed, evaluated and compared the proposed algorithms against one of the well-known genetic algorithms available in the literature, which has been proposed for the task scheduling problem on heterogeneous computing systems. Moreover, this comparison has been extended to an existing greedy search method, and to an exact formulation based on basic integer linear programming. The proposed genetic algorithms show a good performance dominating the evaluated methods in terms of problems' sizes and time complexity for large benchmark sets of instances. We also extended three existing mathematical formulations to derive an exact solution for this problem. These mathematical formulations were validated and compared to each other by extensive computational experiments. Moreover, we proposed an integer linear programming formulations for solving unrelated parallel machine scheduling with precedence/disjunctive constraints, this model based on the intervaland m-clique free graphs with an exponential number of constraints. We developed a Branch-and-Cut algorithm, where the separation problems are based on graph algorithms. [...].
Job Scheduling Strategies For Parallel Processing
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Author : Dalibor Klusáček
language : en
Publisher: Springer
Release Date : 2018-03-21
Job Scheduling Strategies For Parallel Processing written by Dalibor Klusáček and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-21 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2017, held in Orlando, FL, USA, in June 2017.The 10 revised full papers presented in this book were carefully reviewed and selected from 20 submissions. The papers cover topics in the fields of design and evaluation of new scheduling approaches; performance evaluation of scheduling approaches; workloads; consideration of additional constraints in scheduling systems; scaling and composition of very large scheduling systems; cloud provider issues; interaction between schedulers on different levels; interaction between applications/workloads; experience reports from production systems or large scale compute campaigns.
Scheduling Parallel Applications On Heterogeneous Distributed Systems
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Author : Guoqi Xie
language : en
Publisher: Springer
Release Date : 2019-08-06
Scheduling Parallel Applications On Heterogeneous Distributed Systems written by Guoqi Xie and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-06 with Technology & Engineering categories.
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.
Enhanced Priority Based Load Balance Scheduling Of Parallel Work Load In Cloud Computing
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Author : R. Sundar Rajan
language : en
Publisher:
Release Date : 2020
Enhanced Priority Based Load Balance Scheduling Of Parallel Work Load In Cloud Computing written by R. Sundar Rajan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Cloud computing is an emerging computing technology that uses the remote servers to maintain data and application. A parallel job is run as multiple processes. A Significant level activity is submitted to the activity scheduler and after accommodation is partitioned into subordinate employments that run simultaneously. In existing framework the two level need based equal occupations increasingly number of employments won't to be handled and a few occupations are holding up in the line. So Execution time of the activity esteem is expanded and Wastage of memory. The long execution time of the activity will be holding up in the line. We propose another idea for need based burden adjusting of equal employments. The figuring limit of every hub into levels. The two levels will process from line. The primary virtual machine is frontal area and second one is back ground. The equivalent need will be allotted for the employments in closer view virtual machine and foundation virtual machine the idea of burden adjusting. The equal employments used to utilize the two level virtual machine and improve the responsiveness of the occupations.
Workflow Scheduling On Computing Systems
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Author : Kenli Li
language : en
Publisher: CRC Press
Release Date : 2022-08-12
Workflow Scheduling On Computing Systems written by Kenli Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Computers categories.
This book will serve as a guide in understanding workflow scheduling techniques on computing systems such as Cluster, Supercomputers, Grid computing, Cloud computing, Edge computing, Fog computing, and the practical realization of such methods. It offers a whole new perspective and holistic approach in understanding computing systems’ workflow scheduling. Expressing and exposing approaches for various process-centric cloud-based applications give a full coverage of most systems’ energy consumption, reliability, resource utilization, cost, and application stochastic computation. By combining theory with application and connecting mathematical concepts and models with their resource management targets, this book will be equally accessible to readers with both Computer Science and Engineering backgrounds. It will be of great interest to students and professionals alike in the field of computing system design, management, and application. This book will also be beneficial to the general audience and technology enthusiasts who want to expand their knowledge on computer structure.
Euro Par 2015 Parallel Processing
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Author : Jesper Larsson Träff
language : en
Publisher: Springer
Release Date : 2015-07-24
Euro Par 2015 Parallel Processing written by Jesper Larsson Träff and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-24 with Computers categories.
This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.
Algorithms And Architectures For Parallel Processing
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Author : Joanna Kolodziej
language : en
Publisher: Springer
Release Date : 2013-12-09
Algorithms And Architectures For Parallel Processing written by Joanna Kolodziej and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-09 with Computers categories.
This two volume set LNCS 8285 and 8286 constitutes the proceedings of the 13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013, held in Vietri sul Mare, Italy in December 2013. The first volume contains 10 distinguished and 31 regular papers selected from 90 submissions and covering topics such as big data, multi-core programming and software tools, distributed scheduling and load balancing, high-performance scientific computing, parallel algorithms, parallel architectures, scalable and distributed databases, dependability in distributed and parallel systems, wireless and mobile computing. The second volume consists of four sections including 35 papers from one symposium and three workshops held in conjunction with ICA3PP 2013 main conference. These are 13 papers from the 2013 International Symposium on Advances of Distributed and Parallel Computing (ADPC 2013), 5 papers of the International Workshop on Big Data Computing (BDC 2013), 10 papers of the International Workshop on Trusted Information in Big Data (TIBiDa 2013) as well as 7 papers belonging to Workshop on Cloud-assisted Smart Cyber-Physical Systems (C-Smart CPS 2013).
Advances On P2p Parallel Grid Cloud And Internet Computing
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Author : Leonard Barolli
language : en
Publisher: Springer Nature
Release Date : 2022-10-17
Advances On P2p Parallel Grid Cloud And Internet Computing written by Leonard Barolli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Technology & Engineering categories.
This book aims to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, Grid, Cloud and Internet computing as well as to reveal synergies among such large-scale computing paradigms. P2P, Grid, Cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. Grid Computing originated as a paradigm for high-performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P Computing emerged as a new paradigm after client–server and web-based computing and has shown useful to the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), B2E (Business to Employee) and so on. Cloud Computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits.” Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet Computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today’s information societies serving thus as a universal platform comprising a large variety of computing forms such as Grid, P2P, Cloud and mobile computing.
Hierarchical Distributed Loop Self Scheduling Schemes On Cluster And Cloud Systems
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Author : Yiming Han
language : en
Publisher:
Release Date : 2014
Hierarchical Distributed Loop Self Scheduling Schemes On Cluster And Cloud Systems written by Yiming Han and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Cloud computing categories.
Loops are the largest source of parallelism in many scientific applications. Parallelization of irregular loop applications is a challenging problem to achieve scalable performance on cluster and cloud systems. In distributed systems, load balance, communication and synchronization overhead must be taken considered. For cluster systems, previous research proposed an effective Master-Worker model on clusters for distributed self-scheduling schemes that apply to parallel loops with independent iterations. However, this model has not been applied to large-scale clusters. Cloud computing infrastructure offers computing resources as a collection of virtual machines by different hardware configurations, which is transparent to end users. In fact, the computing powers of these virtual machines instances are different and the system behaves as a heterogeneous environment. Thus, scheduling and load balancing for high performance computations become challenging issues. We propose a hierarchical distributed approach suitable for scheduling parallel loops. We implemented our algorithms(or schemes) on a large scale homogeneous cluster and also on a heterogeneous cloud environment. We evaluated various performance aspects associated with our distributed scheduling algorithms. Modern cloud systems provide high availability, fault tolerance, disaster recovery and monitoring for the most critical environments. In the event of failures, cloud systems with fault tolerance can continue to operate properly. We also propose a fault tolerant hierarchical distributed algorithms to survive from hardware/software faults and reschedule the rest of workload.
Scheduling For Parallel Processing
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Author : Maciej Drozdowski
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-14
Scheduling For Parallel Processing written by Maciej Drozdowski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-14 with Computers categories.
Overview and Goals This book is dedicated to scheduling for parallel processing. Presenting a research ?eld as broad as this one poses considerable dif?culties. Scheduling for parallel computing is an interdisciplinary subject joining many ?elds of science and te- nology. Thus, to understand the scheduling problems and the methods of solving them it is necessary to know the limitations in related areas. Another dif?culty is that the subject of scheduling parallel computations is immense. Even simple search in bibliographical databases reveals thousands of publications on this topic. The - versity in understanding scheduling problems is so great that it seems impossible to juxtapose them in one scheduling taxonomy. Therefore, most of the papers on scheduling for parallel processing refer to one scheduling problem resulting from one way of perceiving the reality. Only a few publications attempt to arrange this ?eld of knowledge systematically. In this book we will follow two guidelines. One guideline is a distinction - tween scheduling models which comprise a set of scheduling problems solved by dedicated algorithms. Thus, the aim of this book is to present scheduling models for parallel processing, problems de?ned on the grounds of certain scheduling models, and algorithms solving the scheduling problems. Most of the scheduling problems are combinatorial in nature. Therefore, the second guideline is the methodology of computational complexity theory. Inthisbookwepresentfourexamplesofschedulingmodels. Wewillgodeepinto the models, problems, and algorithms so that after acquiring some understanding of them we will attempt to draw conclusions on their mutual relationships.