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Improving the QoS of Web Applications across Multiple Virtual Machines in Cloud computing Environment

Improving the QoS of Web Applications across Multiple Virtua...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Weizhe Zhang Hongli Zhang Huixiang Chen Qizhen Zhang Albert M.K. Cheng School of Computer Science and Technology Harbin Institute of Technology Harbin China Department of Computer Science University of Houston Houston TX USA

ISBN: (纸本)9781467309745

Cloud computing is a hot topic in both industrial and academic areas. Virtualization employed on large data centers forms the basis of cloud computing, which includes CPU, I/O and memory virtualization. Time-sharing of CPU cycles for multiple virtual machines (VMs) has been the main bottleneck of system-level virtualization. How to schedule CPU cycles for multi-VMs to improve the QoS of web applications need further study. This paper first proposes a CPU management architecture for multi-VMs. Then, we convert the CPU scheduling problem into an integer programming problem. Importantly, we put forward a CPU scheduling algorithm based on utility optimization theory (UOCRS) to increase the global utility. Experiments show that our scheme improves the performance of Web applications remarkably.

关键词： Quality of service Resource management Time factors Optimization Cloud computing Computer architecture Control theory

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A Highly Efficient Consolidated Platform for Stream computing and Hadoop

A Highly Efficient Consolidated Platform for Stream Computin...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Hiroya Matsuura Masaru Ganse Toyotaro Suzumura Tokyo Institute of Technology Meguro Tokyo Japan Tokyo Institute of Technology Yamato Kanagawa Japan IBM Research Tokyo Research Laboratory Yamato Kanagawa Japan

ISBN: (纸本)9781467309745

Data Stream Processing or stream computing is the new computing paradigm for processing a massive amount of streaming data in real-time without storing them in secondary storage. In this paper we propose an integrated execution platform for Data Stream Processing and Hadoop with dynamic load balancing mechanism to realize an efficient operation of computer systems and reduction of latency of Data Stream Processing. Our implementation is built on top of System S, a distributed data stream processing system developed by IBM Research. Our experimental results show that our load balancing mechanism could increase CPU usage from 47.77% to 72.14% when compared to the one with no load balancing. Moreover, the result shows that latency for stream processing jobs are kept low even in a bursty situation by dynamically allocating more compute resources to stream processing jobs.

关键词： Batch production systems Prediction algorithms Heuristic algorithms Time series analysis Load management Processor scheduling Real time systems

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Exascale System Software for the Year of the Dragon

Exascale System Software for the Year of the Dragon

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international symposium on parallel and distributed Processing (IPDPS)

作者： Pete Beckman Exascale Technology and Computing Institute Argonne National Laboratory USA

Summary form only given, as follows. As we look to exascale systems and a new generation of computing hardware begins to take shape, new software challenges have also emerged. It is therefore an exciting year for computer scientists. We must not fear the challenges ahead, but be must be willing to break the rules to achieve our exascale goals. Node architectures are rapidly changing. Every hardware company is looking for ways to squeeze out more performance per Watt. System architects are also working on ways to integrate fast networking and memory, increase parallelism, and manage heterogeneous computing elements. Building special-purpose exascale systems from this new technology will fundamentally change many parts of our system software stack. While it may be years before disruptive and emerging technology paths become clear and architectures converge on fundamental design patterns, there are many exciting areas of advanced research that can be addressed today. Other areas are yet to be explored. This presentation will focus on the areas of system software, that code that sits between the application and the hardware, that must either evolve or be reinvented to reach our computing goals.

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A Holistic Model for Making Cloud Migration Decision: A Consideration of Security, Architecture and Business Economics

A Holistic Model for Making Cloud Migration Decision: A Cons...

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international symposium on parallel and distributed Processing with Applications, ISPA

作者： Bjorn Johnson Yanzhen Qu Colorado State University Colorado Springs CO USA

The emergence of cloud computing services has created an additional dimension in the decision for creating a new business plan which requires computing resources. Although quite a few of the recent published analytical models have provided some very good ground work for assessing the cost difference between in-house systems and leasing cloud services for the same set of computing requirements, there is a need for research towards providing a company with risk analysis tools that will allow business managers to assess the viability of migrating business applications to the cloud with broader considerations. This article consolidates several genres of analysis on cloud computing risk. We derive an new analytical model that takes into account business economics, and other business requirements such as various considerations on security and availability. This model applies these considerations to the already well researched buy-or-lease models currently used by business management professionals which allows for an easy transition to this more thorough model. We made a comparison research through evaluating the service requirement situation from published research against two service providers. The results of this research demonstrates the veracity of our model. The rationale for this research is to provide a more complete and robust model that encompasses the entire spectrum of considerations yet holds a high degree of precision.

关键词： distributed processing

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An Experience of Early Initiation to parallelism in the computing Engineering Degree at the University of Murcia, Spain

An Experience of Early Initiation to Parallelism in the Comp...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Manuel E. Acacio Javier Cuenca Lorenzo Fern'ndez Ricardo Fern'ndez-Pascual Joaquín Cervera Domingo Giménez M. Carmen Garrido Juan A. S'nchez Laguna José Guillén Juan Alejandro Palomino Benito María-Eugenia Requena Departamento de Ingeniería y Tecnología de Computadores University of Murcia Spain Departamento de Informática y Sistemas University of Murcia Spain Departamento de Ingeniería de la Información y las Comunicaciones University of Murcia Spain Centro de Supercomputación Fundacion Parque Científico Murcia Spain

This paper presents an on-going experience in early introduction to parallelism in the computing Engineering Degree. Four courses of the second year and a computing centre participate in the experience. The courses are given by three departments. Students are introduced to parallelism for the first time in the second year, and with our experience we aim to approach different topics of parallelism in a coordinated and practical way.

关键词： Message systems Programming Algorithm design and analysis Computer architecture Educational institutions parallel algorithms

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Message from the general chairs

Proceedings of the 2012 10th IEEE International Symposium on...

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Proceedings of the 2012 10th IEEE international symposium on parallel and distributed Processing with Applications, ISPA 2012 2012年 15-15页

作者： Abramson, David Ludwig, Thomas Garcia, J. Daniel Monash eScience and Grid Engineering Lab. Australia German Climate Computing Center University of Hamburg Germany University Calos III of Madrid Spain

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parallel Parameter Identification in Industrial Biotechnology

Parallel Parameter Identification in Industrial Biotechnolog...

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international symposium on parallel and distributed Processing with Applications, ISPA

作者： Thomas Baumann Michael Resch High Performance Computing Center Stuttgart (HLRS) University of Stuttgart Stuttgart Germany

Real-valued black-box optimization of badly behaved and not well understood functions is a wide topic in many scientific areas. Possible applications range from maximizing portfolio profits in financial mathematics over efficient training of neuronal networks in computational linguistics to parameter identification of metabolism models in industrial biotechnology. This paper presents a comparison of several global as well as local optimization strategies applied to the task of efficiently identifying free parameters of a metabolic network model. A focus is being set on the ease of adopting these strategies to modern, highly parallel architectures. Finally an outlook on the possible parallel performance is being presented.

关键词： Optimization Biological system modeling Sociology Statistics Biochemistry Computational modeling Vectors

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On the use of GPUs in realizing cost-effective distributed RAID

On the use of GPUs in realizing cost-effective distributed R...

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2012 IEEE 20th international symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012

作者： Khasymski, Aleksandr Rafique, M. Mustafa Butt, Ali R. Vazhkudai, Sudharshan S. Nikolopoulos, Dimitrios S. Virginia Tech. United States Qatar Foundation Qatar Oak Ridge National Laboratory United States Queen's University of Belfast United Kingdom

ISBN: (纸本)9780769547930

The exponential growth in user and application data entails new means for providing fault tolerance and protection against data loss. High Performance computing (HPC) storage systems, which are at the forefront of handling the data deluge, typically employ hardware RAID at the backend. However, such solutions are costly, do not ensure end-to-end data integrity, and can become a bottleneck during data reconstruction. In this paper, we design an innovative solution to achieve a flexible, fault-tolerant, and high-performance RAID-6 solution for a parallel file system (PFS). Our system utilizes low-cost, strategically placed GPUs - both on the client and server sides - to accelerate parity computation. In contrast to hardware-based approaches, we provide full control over the size, length and location of a RAID array on a per file basis, end-to-end data integrity checking, and parallelization of RAID array reconstruction. We have deployed our system in conjunction with the widely-used Lustre PFS, and show that our approach is feasible and imposes acceptable overhead. © 2012 IEEE.

关键词： Fault tolerance

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Different Approaches to distributed Compilation

Different Approaches to Distributed Compilation

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Josef Gattermayer Pavel Tvrdik Faculty of Information Technology Czech Technical University Prague Czech Republic

ISBN: (纸本)9781467309745

Source code compiling is a non-trivial task that requires many computing resources. As a software project grows, its build time increases and debugging on a single computer becomes more and more time consuming task. An obvious solution would be a dedicated cluster acting as a build farm, where developers can send their requests. But in most cases, this solution has a very low utilization of available computing resources which makes it very ineffective. Therefore, we have focused on non-dedicated clusters to perform distributed compilation, where we could use users' computers as nodes of a build farm. We compare two different approaches: distcc, which is an open-source program to distribute compilation of C/C++ code between several computers on a network and Clondike, which is a universal peer-to-peer cluster that is being developed at the Czech Technical University in Prague. A very complex task able to test deeply both systems is a compilation of a Linux Kernel with many config options. We have run this task on a cluster with up to 20 computers and have measured computing times and CPU loads. In this paper, we will present the results of this experiment that indicate the scalability and utilization of given resources in both systems. We also discuss the penalty of a generic solution over a task-specific one.

关键词： Servers Peer to peer computing Kernel Testing Linux Time measurement Computers

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Minimalistic Adaptive Resource Management for Multi-tier Applications Hosted on Clouds

Minimalistic Adaptive Resource Management for Multi-tier App...

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Waheed Iqbal Computer Science and Information Management Asian Institute of Technology Thailand

ISBN: (纸本)9781467309745

Cloud computing allows Web application owners to host their applications with low operational cost and enables them to scale applications to maintain performance based on traffic load and application resource requirements. However, for multi-tier Web applications, it is difficult to automatically identify the exact location of a bottleneck and scale the appropriate resource tier accordingly because multi-tier applications are complex and bottleneck patterns may be dependent on the specific pattern of workload at any given time. This Ph.D. dissertation aims to explore the possibilities to satisfy response time guarantees for multi-tier applications hosted on clouds using adaptive resource management with minimal hardware profiling and application-centric knowledge.

关键词： Resource management Time factors Cloud computing Monitoring Hardware USA Councils Machine learning

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