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A Hierarchical Memory Service Mechanism in Server Consolidation Environment

A Hierarchical Memory Service Mechanism in Server Consolidat...

引用

17th IEEE international Conference on parallel and distributed systems (ICPADS)

作者： Wang, Liufeng Wang, Huaimin Cai, Lu Chu, Rui Zhang, Pengfei Liu, Lanzheng Natl Univ Def Technol Natl Key Lab Parallel & Distributed Proc Changsha Hunan Peoples R China Univ Xian Sch Econ & Management Xian Peoples R China

ISBN: (纸本)9780769545769

Increasing Internet business and computing footprint motivate server consolidation in data centers. Through virtualization technology, server consolidation can reduce physical hosts and provide scalable services. However, the ineffective memory usage among multiple virtual machines (VMs) becomes the bottleneck in server consolidation environment. Because of inaccurate memory usage estimate and the lack of memory resource managements, there is much service performance degradation in data centers, even though they have occupied a large amount of memory. In order to improve this scenario, we first introduce VM's memory division view and VM's free memory division view. Based on them, we propose a hierarchal memory service mechanism. We have designed and implemented the corresponding memory scheduling algorithm to enhance memory efficiency and achieve service level agreement. The benchmark test results show that our implementation can save 30% physical memory with 1% to 5% performance degradation. Based on Xen virtualization platform and balloon driver technology, our works actually bring dramatic benefits to commercial cloud computing center which is providing more than 2,000 VMs' services to cloud computing users.

关键词： Memory scheduling Hierarchical Service Server Consolidation Iaas Cloud Computing

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A simulation framework for reconfigurable processors in large-scale distributed systems

A simulation framework for reconfigurable processors in larg...

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2011 international Conference on parallel Processing workshops, ICPPW 2011

作者： Nadeem, M. Faisal Ostadzadeh, S. Arash Nadeem, M. Wong, Stephan Bertels, Koen Computer Engineering Laboratory Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands

ISBN: (纸本)9780769545110

The inclusion of reconfigurable processors in distributed grid systems promises to offer increased performance without compromising flexibility. Consequently, these large-scale distributed grid systems (such as Tera-Grid) are utilizing reconfigurable computing resources next to general-purpose processors (GPPs) in their computing nodes. The near-optimal utilization of resources in such distributed systems considerably depends on the resource management and the application task scheduling. Many stateof-the-art simulators for application scheduling simulation in distributed computing systems have been proposed. However, there is no dedicated simulation framework to study the behavior of reconfigurable nodes in grids. The incorporation of reconfigurable nodes in these systems requires to take into account reconfigurable hardware characteristics, such as, area utilization, performance increase, reconfiguration time, and time to transfer configuration bitstreams, execution code, and data. Many of these characteristics are not taken into account by traditional simulators. In this paper, we present a simulation framework for reconfigurable processors in large-scale distributed systems. It is capable of modeling reconfigurable nodes, processor configurations, and tasks in a distributed system. Furthermore, as part of the verification of the framework, we implemented a dynamic task scheduling algorithm with support for the scheduling of tasks on reconfigurable nodes. A number of experiments with various simulation parameters were conducted. The results show an expected trend. We also present a thorough discussion of the results. © 2011 IEEE.

关键词： scheduling

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Multi-dimensional resource integrated scheduling in a shared data center

Multi-dimensional resource integrated scheduling in a shared...

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international workshop on Specialized Ad Hoc Networks and systems

作者： Sun, Xin Su, Sen Xu, Peng Chi, Shuang Luo, Yan State Key Lab. of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Dept. of Electrical and Computer Engineering University of Massachusetts Lowell Lowell MA United States

ISBN: (纸本)9780769543864

resource scheduling is crucial to data centers. However, most existing resource scheduling algorithms focus only on one-dimensional resource models, ignoring the fact that multiple resources (e.g. CPU, memory, storage, and network bandwidth) are consumed simultaneously. Competition for multiple resources has become increasingly severe as cloud computing allows uncoordinated and heterogeneous users to share a data center. In this paper, we map such a resource scheduling problem to a bounded multi-dimensional scheduling problem (B-MDKP), taking into account the requirement dependency among multi-dimensional resources. Due to the NP hardness of B-MDKP, we present Multi-dimensional resource Integrated scheduling (MRIS), a novel heuristic algorithm to obtain the approximate optimal solution. To demonstrate the advantage of our scheduling scheme, we have implemented MRIS in Haizea, a resource management architecture and made a detailed comparison with existing studies. Our evaluation results show that MRIS achieves high efficiency and high performance for a diverse set of workloads. © 2011 IEEE.

关键词： Heuristic algorithms

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Energy-Aware Task Allocation for Network-on-Chip Based Heterogeneous Multiprocessor systems

Energy-Aware Task Allocation for Network-on-Chip Based Heter...

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19th international Euromicro Conference on parallel, distributed and Network-Based Processing (PDP)

作者： Huang, Jia Buckl, Christian Raabe, Andreas Knoll, Alois Fortiss GmbH Guerickestr 25 D-80805 Munich Germany Tech Univ Munich D-85748 Garching Germany

ISBN: (纸本)9780769543284

Energy-efficiency is becoming one of the most critical issues in embedded system design. In Network-on-Chip (NoC) based heterogeneous Multiprocessor systems, the energy consumption is influenced dramatically by task allocation schemes. Although various approaches are proposed to allocate tasks in an energy-efficient way, existing work does not well explore the tradeoff between the two major power consumers, namely the processors and network links, resulting in suboptimal mappings from a system point of view. In this paper, we first extend the existing Integer Linear Programming (ILP) formulation to take both processing and communication energy into account. Thereafter, we propose a Simulated Annealing with Timing Adjustment (SA-TA) heuristic to accelerate the optimization process. While the SA-TA algorithm achieves performance very close to the global optimum, significant improvement in computation speed is observed.

关键词： Processor scheduling resource management

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An adaptive scheduler framework for complex workflow jobs on grid systems

An adaptive scheduler framework for complex workflow jobs on...

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13th IEEE international workshop on FTDCS 2011, the 8th international Conference on ATC 2011, the 8th international Conference on UIC 2011 and the 13th IEEE international Conference on HPCC 2011

作者： Siddesh, G.M. Srinivasa, K.G. JNTU Hyderabad India Dept. of Information Science and Engineering M S Ramaiah Institute of Technology Bangalore India Dept. of Computer Science and Engineering M S Ramaiah Institute of Technology Bangalore India

ISBN: (纸本)9780769545387

Grid Computing provides sharing of geographically distributed resources among large scale complex applications. Due to dynamic nature of resources in grid, there is a need of highly efficient job scheduling and resource management policies in grid. In this paper, a novel Grid resource Scheduler (GRS) is proposed to effectively utilize the available resources in Grid. Proposed GRS contributes, an optimal job scheduling algorithm on Job Rank-Backfilling policy and a resource matching algorithm based on ranking of resources with best fit allocation model. Performance of GRS is measured by considering a web based BLAST algorithm - a bioinformatics application - . GRS aims in reducing;Make span of the job workflow and execution time of varied size jobs. The experimental results prove that proposed job scheduling and resource matching algorithms performs better when evaluated against widely used FCFS job scheduling and biggest free resource matching strategies. © 2011 IEEE.

关键词： resource allocation

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Efficient energy management using adaptive reinforcement learning-based scheduling in large-scale distributed systems

Efficient energy management using adaptive reinforcement lea...

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40th international Conference on parallel Processing, ICPP 2011

作者： Hussin, Masnida Lee, Young Choon Zomaya, Albert Y. Centre for Distributed and High Performance Computing School of Information Technologies University of Sydney NSW 2006 Australia

ISBN: (纸本)9780769545103

Energy consumption in large-scale distributed systems, such as computational grids and clouds gains a lot of attention recently due to its significant performance, environmental and economic implications. These systems consume a massive amount of energy not only for powering them, but also cooling them. More importantly, the explosive increase in energy consumption is not linear to resource utilization as only a marginal percentage of energy is consumed for actual computational works. This energy problem becomes more challenging with uncertainty and variability of workloads and heterogeneous resources in those systems. This paper presents a dynamic scheduling algorithm incorporating reinforcement learning for good performance and energy efficiency. This incorporation helps the scheduler observe and adapt to various processing requirements (tasks) and different processing capacities (resources). The learning process of our scheduling algorithm develops an association between the best action (schedule) and the current state of the environment (parallel system). We have also devised a task-grouping technique to help the decision-making process of our algorithm. The grouping technique is adaptive in nature since it incorporates current workload and energy consumption for the best action. Results from our extensive simulations with varying processing capacities and a diverse set of tasks demonstrate the effectiveness of this learning approach © 2011 Crown Copyright.

关键词： Energy efficiency

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Proceedings - 2011 17th IEEE international Conference on parallel and distributed systems, ICPADS 2011

Proceedings - 2011 17th IEEE International Conference on Par...

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2011 17th IEEE international Conference on parallel and distributed systems, ICPADS 2011

ISBN: (纸本)9780769545769

The proceedings contain 153 papers. The topics discussed include: scheduling mixed real-time and non-real-time applications in MapReduce environment;hypervisor support for efficient memory de-duplication;a hierarchical memory service mechanism in server consolidation environment;a method for improving concurrent write performance by dynamic mapping virtual storage system combined with cache management;fair and efficient online adaptive scheduling for multiple sets of parallel applications;combining multiple metrics to control BSP process rescheduling in response to resource and application dynamics;broadcasting on large scale heterogeneous platforms with connectivity artifacts under the bounded multi-port model;architecture-aware mapping and optimization on a 1600-Core GPU;simulation-based performance analysis and tuning for a two-level directly connected system;and ANEPROF: energy profiling for android java virtual machine and applications.

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Intelligent distributed Computing V: Proceedings of the 5th international Symposium on Intelligent distributed Computing - IDC 2011, Delft, the ... 2011

引用

2011年

作者： Frances M T Brazier Kees Nieuwenhuis Gregor Pavlin Martijn Warnier Costin Bădică

ISBN: (纸本)9783642240126

This book represents the combined peer-reviewed proceedings of the Fifth international Symposium on Intelligent distributed Computing -- IDC 2011 and of the Third international workshop on Multi-Agent systems Technology and Semantics -- MASTS 2011. Both events were held in Delft, The Netherlands during October 5-7, 2011. The 33 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomous distributed systems, agent programming, ambient assisted living systems, business process modeling and verification, cloud computing, coalition formation, decision support systems, distributed optimization and constraint satisfaction, gesture recognition, intelligent energy management in WSNs, intelligent logistics, machine learning, mobile agents, parallel and distributed computational intelligence, parallel evolutionary computing, trust metrics and security, scheduling in distributed heterogenous computing environments, semantic Web service composition, social simulation, and software agents for WSNs.

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2011 IEEE 7th international workshop on Storage Network Architecture and parallel I/Os, SNAPI 2011

2011 IEEE 7th International Workshop on Storage Network Arch...

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2011 IEEE 7th international workshop on Storage Network Architecture and parallel I/Os, SNAPI 2011

ISBN: (纸本)9781457704284

The proceedings contain 36 papers and 2 Power Point presentations. The topics discussed include: qualifying reliability of solid-state storage from multiple aspects;a program context-aware data separation technique for reducing garbage collection overhead in NAND flash memory;towards simulation of parallel file system scheduling algorithms with PFSsim;scalable distributed directory implementation on orange file system;hierarchical RAID (HRAID): organization, operation, reliability, and performance;a statistical evaluation of the impact of parameter selection on storage system benchmarks;performance models of flash-based solid-state drives for real workloads;sampling-based garbage collection metadata management for flash-based storage;data allocation strategies for the management of quality of service in virtualised storage systems;and RAID6L: a log-assisted RAID6 storage architecture with improved write performance.

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Coordination in perioperative systems - A tacit view

Coordination in perioperative systems - A tacit view

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1st international workshop on Engineering Interactive Computing systems for Medicine and Health Care, EICS4Med 2011 - Co-located with the ACM SIGCHI Symposium on Engineering Interactive Computing systems, EICS 2011

作者： Dittmar, Anke Kühn, Robert Forbrig, Peter Department of Computer Science University of Rostock A.-Einstein-Str. 21 D-18051 Rostock Germany

Coordination of perioperative systems is a deeply collaborative process, distributed over time and space. The paper analyses coordination in a perioperative centre along the three temporal levels suggested in [1]: allocation, scheduling, and synchronization. In particular, the tension between schedules and actual demands in synchronization work is reflected by looking at example situations. It is shown how dedicated coordination workers try to find a balance between different co-existing values and goals of all stakeholders. Their abilities to analyze a situation, to negotiate problems and to react flexibly are needed in systems such as modern hospitals. It has to be taken into account in systems design. Copyright © 2011 for the individual papers by the papers' authors.

关键词： Human resource management

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