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A time optimization algorithm for scheduling bag-of-task applications in auction-based proportional share systems

A time optimization algorithm for scheduling bag-of-task app...

引用

international Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： A. Sulistio R. Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Carlton VIC Australia

Grid and peer-to-peer (P2P) network technologies enable aggregation of distributed resources for solving large-scale and computationally-intensive applications. These technologies are well-suited for bag-of-tasks (BoT) applications, because each application consists of many parallel and independent tasks. With multiple users competing for the same resources, the key challenge is to finish a user application within a specified deadline. In this paper, we propose a time optimization algorithm that schedules a user application on auction-based resource allocation systems. These allocation systems, which are based on proportional share, allow users to bid higher in order to gain more resource shares. Therefore, this algorithm adjusts a user bid periodically on these systems in order to finish the application on time.

关键词： scheduling algorithm Application software resource management Peer to peer computing Processor scheduling Grid computing Computer applications Large-scale systems Computer networks distributed computing

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SPHINX: a fault-tolerant system for scheduling in dynamic grid environments

SPHINX: a fault-tolerant system for scheduling in dynamic gr...

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international Symposium on parallel and distributed Processing (IPDPS)

作者： J. In P. Avery R. Cavanaugh L. Chitnis M. Kulkarni S. Ranka University of Florida USA

A grid consists of high-end computational, storage, and network resources that, while known a priori, are dynamic with respect to activity and availability. Efficient scheduling of requests to use grid resources must adapt to this dynamic environment while meeting administrative policies. In this paper, we describe a framework called SPHINX that can administrate grid policies, and schedule complex and data intensive scientific applications. We present experimental results for several scheduling strategies that effectively utilize the monitoring and job-tracking information provided by SPHINX. These results demonstrate that SPHINX can effectively schedule work across a large number of distributed clusters that are owned by multiple units in a virtual organization in a fault-tolerant way in spite of the highly dynamic nature of the grid and complex policy issues. The novelty lies in use of effective monitoring of resources and job execution tracking in making scheduling decisions and fault-tolerance - something that is missed in today's grid environments.

关键词： Fault tolerant systems Dynamic scheduling Grid computing Processor scheduling Application software distributed computing Availability Fault tolerance resource management Collaborative software

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Delay Character of a Novel Architecture for IEEE 802.16 systems

Delay Character of a Novel Architecture for IEEE 802.16 Syst...

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IEEE international Conference on parallel and distributed Computing, Applications and Technologies (PDCAT)

作者： Naian Liu Xiaohui Li Changxing Pei Bo Yang State Key Laboratory of ISN Xidian University Shaanxi Xi'an China

In this paper, we propose a novel scheduling architecture for IEEE 802.16 broadband wireless access network. Based on the WFQ and WF2Q which play an important role in wired network, we do more deeply research in how integrate these algorithm into IEEE 802.16. Then, a QoS architecture with WFQ algorithm is proposed. A model for our new scheduling structure is built, and the simulations are given. The results show that the delay character is improved using the proposed architecture with the new WFQ algorithm.

关键词： Delay Traffic control Bandwidth Communication system traffic control Laboratories Wireless networks Access protocols resource management Media Access Protocol Unicast

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1st international Symposium on Computational and Information Science, CIS 2004

引用

2nd CAiSE workshop on Ubiquitous Mobile Information and Collaboration systems, UMICS 2004

ISBN: (纸本)9783540241003

The proceedings contain 14 papers. The special focus in this conference is on Ubiquitous Mobile Information and Collaboration systems. The topics include: High order finite difference schemes for the solution of elliptic PDEs;an algorithm for optimal tuning of fuzzy PID controllers on precision measuring device;a grid portal model based on security and storage resource proxy;optimal designs of directed double-loop networks;a QoS-based access and scheduling algorithm for wireless multimedia communications;feedforward wavelet neural network and multi-variable functional approximation;the distributed wavelet-based fusion algorithm;alternating direction finite element method for a class of moving boundary problems;binomial-tree fault tolerant routing in dual-cubes with large number of faculty nodes;an effective compressed sparse preconditioner for large scale biomolecular simulations;a study on lower bound of direct proportional length-based DNA computing for shortest path problem;key management for secure multicast using the ringnet hierarchy;open middleware-based infrastructure for context-aware in pervasive computing;boundary integral simulation of the motion of highly deformable derops in a viscous flow with spontaneous marangoni effect;solving separable nonlinear equations with jacobians of rank deficiency one;optimal capacity expansion arc algorithm on networks;solving non-linear finite difference systems by normalized approximate inverses;an adaptive two-dimensional mesh refinement method for the problems in fluid engineering;high order locally one-dimensional method for parabolic problems and networked control system design accounting for delay information.

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distributed management of ontologies on the grid

Distributed management of ontologies on the grid

引用

IEEE international workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE)

作者： M. Cannataro P. Hiram Guzzi T. Mazza P. Veltri University Magna Græcia of Catanzaro Catanzaro Italy

Although many tools and methodologies exist for ontology editing and management, integrated ontology management systems working on the grid have not been defined yet. The paper presents the design of an ontology manager, OnBrowser, and its application in a grid environment scenario for managing distributed ontologies. OnBrowser provides access to "knowledge objects" coding ontology portions and referring to grid metadata.

关键词： Ontologies resource management Knowledge management Environmental management Technology management Graphical user interfaces Web services Navigation Dynamic scheduling Code standards

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Enabling software DSM system for grid computing

Enabling software DSM system for grid computing

引用

international Symposium on parallel Architectures, Algorithms and Networks (ISPAN)

作者： Tyng-Yeu Liang Chun-Yi Wu Jyh-Biau Chang Ce-Kuen Shieh Pei-Hsin Fan Department of Electrical Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

In this study, we have successfully developed a grid-enabled software distributed shared memory called Teamster-G. This system provides users with not only a shared memory programming interface but also a transparent resource allocation service to easily develop applications and aggregate distributed resources for solving their problems on the grid environment. Moreover, since the communication cost of maintaining data-consistency is a big problem for the performance of the DSM applications, Teamster-G exploits a cluster cache scheme and a two-level consistency protocol to minimize the number of data-consistency messages transferred over wide area network. We will present the framework and the performance of Teamster-G in this paper.

关键词： Software systems Grid computing resource management Wide area networks Yarn Protocols Costs Processor scheduling parallel architectures Computer applications

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scheduling based on the impact over process communication of parallel applications

Scheduling based on the impact over process communication of...

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IEEE international Symposium on High Performance Computing systems and Applications (HPCS)

作者： R.P. Ishii R.F. de Mello L.J. Senger M.J. Santana R.H.C. Santana Instituto de Ciências Matemáticas e de Computação Universidade de Sáo Paulo Sao Paulo Brazil

This paper presents a new model for the evaluation of the impacts on processing operations resulting from the communication among processes. The model quantifies the traffic volume imposed on the communication network by means of the latency parameters and the overhead. Such parameters represent the load that each process imposes over the network and the delay on the CPU, as a consequence of the network operations. The delay is represented on the model by means of metric measurements slowdown. The equations that quantify the costs involved in the processing operation and message exchange are defined. In the same way, equations to determine the maximum network bandwidth are used on the decision-making scheduling. The proposed model uses a constant that delimitates the communication network maximum allowed usage, this constant defines two possible scheduling techniques: group scheduling or through communication network. Such techniques are incorporated to the DPWP policy, generating an extension of this policy. Results confirm the performance enhancement of parallel applications.

关键词： Processor scheduling Communication networks Delay Bandwidth resource management Equations Decision making distributed computing Weather forecasting Electronic mail

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Job completion prediction in grid using distributed case-based reasoning

Job completion prediction in grid using distributed case-bas...

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IEEE international workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE)

作者： L. Noronha Nassif J. Marcos Nogueira F. Vinicius de Andrade M. Ahmed A. Karmouch R. Impey Federal University of Minas Gerais Brazil Universite Pierre et Marie Curie-Paris France National Research Council Canada Canada University of Ottawa Canada

Grid allows several entities to share their computational resources. Selecting the best resource to run a job can become a complex and inadequate task for the user since grid is a distributed, dynamic, and heterogeneous network. The current frameworks for this problem still face some challenges. Users never know when the job will finish and what the service provider guarantees. Moreover, job scheduling for a future time is unavailable in most existing framework solutions since they lack performance prediction techniques. This paper presents an approach to job execution time prediction in grid using the case-based reasoning paradigm. The prediction module presented is part of a multi-agent system that selects the best resource to run a job in the grid environment. Case retrieval algorithms involving relevance and geometric matching are presented. We also elaborate adaptation algorithms that use prediction techniques for job workload forecasting.

关键词： Grid computing scheduling Multiagent systems Prediction algorithms XML Councils Middleware resource management Libraries Testing

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Simulation of resolution of CS problem for multiple common variables in multiprocessor environment

Simulation of resolution of CS problem for multiple common v...

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international workshop on Rapid System Prototyping (RSP)

作者： G. Qader M.Y. Javed College of Electrical & Mechanical Engineering National University of Science and Technology Rawalpindi Pakistan

The high speed computing requires multitasking and parallel processing to increase the throughput of the system and optimizes use of system resources. In the multitasking environment, when a great number of processes execute in parallel, there may be some variables, which are common or shared between different numbers of processes. Due to this sharing, different critical sections are produced. The research work presented in this paper resolves the critical section (CS) problem of multiple common variables using multiprocessor environment. The development of a simulator for the resolution of CS problem has been presented. It is a comprehensive tool, which runs a simulation in real time and generates useful data for evaluation. A user-friendly and mouse-driven GUI has also been integrated. The developed system has been put through extensive experimentation. Results are taken using different sets of processes for different number of common variables on a number of processors. The evaluation results are very promising and could be used to further enhance performance of multi-user and multitasking operating systems running under different processors to deal with common variables.

关键词： Graphical user interfaces Multitasking parallel processing Educational institutions Mechanical engineering Concurrent computing Throughput Operating systems resource management Processor scheduling

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GISolve: a grid-based problem solving environment for computationally intensive geographic information analysis

GISolve: a grid-based problem solving environment for comput...

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international workshop on Challenges of Large Applications in distributed Environments

作者： Shaowen Wang M.P. Armstrong Jun Ni Yan Liu Department of Computer Science University of Iowa Iowa IA USA

The purpose of this paper is to demonstrate the design and implementation of GISolve - a grid-based problem solving environment for computationally intensive geographic information analysis based on geo-middleware. The geo-middleware resides between existing grid middleware and geographic information analysis applications to manage heterogeneous and dynamic resources on behalf of analysis applications. At the same time, GISolve provides adaptive domain decomposition solutions to parallel geographic information analysis applications. Based on these domain decomposition solutions, GISolve also schedules distributed tasks and manages data transfers. In GISolve, these capabilities are designed as grid services that are compliant with the open grid service architecture (OGSA) and are implemented using grid portal technologies. The GISolve implementation is illustrated based on a case study of a computationally intensive spatial statistic - [G*/sub i/(d)] that is used to assess spatial dependence among geographically distributional observations.

关键词： Problem-solving Grid computing Information analysis Middleware resource management Processor scheduling Computer architecture Portals distributed computing Statistical distributions

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