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A Meta-scheduler with Auction Based Resource Allocation for Global Grids

A Meta-scheduler with Auction Based Resource Allocation for ...

引用

International Conference on Parallel and Distributed Systems (ICPADS)

作者： Saurabh Kumar Garg Srikumar Venugopal Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

As users increasingly require better quality of service from grids, resource management and scheduling mechanisms have to evolve in order to satisfy competing demands on limited resources. Traditional schedulers for grids are system centric and favour system performance over increasing userpsilas utility. On the other hand market oriented schedulers are price-based systems that favour users but are based solely on user valuations. This paper proposes a novel meta-scheduler that unifies the advantages of both the systems for benefiting both users and resources. In order to do that, we design a valuation metric for userpsilas applications and computational resources based on multi-criteria requirements of users and resource load. The meta-scheduler maps user applications to suitable distributed resources using a continuous double auction (CDA). Through simulation, we compare our scheduling mechanism against other common mechanisms used by current meta-schedulers. The results show that our meta-scheduler mechanism can satisfy more users than the others while still meeting traditional system-centric performance criteria such as average load and deadline of applications.

关键词： Resource management Processor scheduling Cost accounting Grid computing Computational modeling Environmental economics Laboratories Computer science software engineering Quality of service

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A Linear Programming Driven Genetic Algorithm for Meta-Scheduling on Utility Grids

A Linear Programming Driven Genetic Algorithm for Meta-Sched...

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International Conference on Advanced computing and Communications (ADCOM)

作者： Saurabh Garg Pramod Konugurthi Rajkumar Buyya Department of Computer Science and Software Engineering Grid Computing and Distributed Systems Laboratory CSSE University of Melbourne Australia

The user-level brokers in grids consider individual application QoS requirements and minimize their cost without considering demands from other users. This results in contention for resources and sub-optimal schedules. Meta-scheduling in grids aims to address this scheduling problem, which is NP hard due to its combinatorial nature. Thus, many heuristic-based solutions using genetic algorithm (GA) have been proposed, apart from traditional algorithms such as greedy and FCFS. We propose a Linear Programming/Integer Programming model (LP/IP) for scheduling these applications to multiple resources. We also propose a novel algorithm LPGA (linear programming driven genetic algorithm) which combines the capabilities of LP and GA. The aim of this algorithm is to obtain the best meta-schedule for utility grids which minimize combined cost of all users in a coordinated manner. Simulation results show that our proposed integrated algorithm offers the best schedule having the minimum processing cost with negligible time overheard.

关键词： Linear programming Genetic algorithms Costs Processor scheduling Grid computing Scheduling algorithm Laboratories Computer science software engineering Application software

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Market-Oriented Cloud computing: Vision, Hype, and Reality for Delivering IT Services as computing Utilities

Market-Oriented Cloud Computing: Vision, Hype, and Reality f...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Rajkumar Buyya Chee Shin Yeo Srikumar Venugopal Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

This keynote paper: presents a 21 st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21 st century vision.

关键词： Meteorology Cloud computing Resource management Grid computing Quality of service Industries Monitoring

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A Negotiation Mechanism for Advance Resource Reservations Using the Alternate Offers Protocol

A Negotiation Mechanism for Advance Resource Reservations Us...

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International Workshop on Quality of Service

作者： Srikumar Venugopal Xingchen Chu Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

ISBN: (纸本)9781424420841

Service level agreements (SLAs) between grid users and providers have been proposed as mechanisms for ensuring that the users' quality of service (QoS) requirements are met, and that the provider is able to realise utility from its infrastructure. This paper presents a bilateral protocol for SLA negotiation using the alternate offers mechanism wherein a party is able to respond to an offer by modifying some of its terms to generate a counter offer. We apply this protocol to the negotiation between a resource broker and a provider for advance reservation of compute nodes, and implement and evaluate it on a real grid system.

关键词： Protocols Resource management Contracts Grid computing Quality of service Counting circuits Proposals Streaming media Computer architecture Laboratories

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MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms

MRPGA: An Extension of MapReduce for Parallelizing Genetic A...

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IEEE International Conference on e-science and Grid computing

作者： Chao Jin Christian Vecchiola Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

The MapReduce programming model allows users to easily develop distributed applications in data centers. However, many applications cannot be exactly expressed with MapReduce due to their specific characteristics. For instance, genetic algorithms (GAs) naturally fit into an iterative style. That does not follow the two phase pattern of MapReduce. This paper presents an extension to the MapReduce model featuring a hierarchical reduction phase. This model is called MRPGA (MapReduce for parallel GAs), which can automatically parallelize GAs. We describe the design and implementation of the extended MapReduce model on a .NET-based enterprise grid system in detail. The evaluation of this model with its runtime system is presented using example applications.

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Service and Utility Oriented Distributed computing Systems: Challenges and Opportunities for Modeling and Simulation Communities

Service and Utility Oriented Distributed Computing Systems: ...

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Annual Symposium on Simulation

作者： Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

Summary form only given. Grids and peer-to-peer (P2P) networks have emerged as popular platforms for the next generation parallel and distributed computing. In these environments, resources are geographically distributed, managed and owned by various organizations with different policies, and interconnected by wide-area networks or the Internet. This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, and dynamic resource conditions. In these dynamic distributed computing environments, it is hard and challenging to carry out resource management design studies in a repeatable and controlled manner as resources and users are autonomous and distributed across multiple organizations with their own policies. Therefore, simulations have emerged as the most feasible technique for analyzing policies for resource allocation. This paper presents emerging trends in distributed computing and their promises for revolutionizing the computing field, and identifies distinct characteristics and challenges in building them. We motivate opportunities for modeling and simulation communities and present our discrete-event grid simulation toolkit, called GridSim, used by researchers world-wide for investigating the design of utility-oriented computing systems such as data centers and grids. We present various case studies on the use of GridSim in modeling and simulation of business grids, parallel applications scheduling, workflow scheduling, and service pricing and revenue management.

关键词： Distributed computing Computational modeling Resource management Processor scheduling Peer to peer computing Next generation networking Computer network management Environmental management IP networks Dynamic scheduling

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Gridbus Work?ow Management System on Clouds and Global Grids

Gridbus Work?ow Management System on Clouds and Global Grids

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IEEE International Conference on e-science and Grid computing

作者： Suraj Pandey Chao Jin William Voorsluys Mustafizur Rahman Rajkumar Buyya Grid Computing and Distributed Systems GRIDS Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

The Gridbus workflow management system (GWMS) is designed to execute scientific applications, expressed in the form of workflows, onto Grid and Cloud resources. With the help of this system, we demonstrate a computational and data-intensive Image Registration (IR) workflow for functional Magnetic Resonance Imaging (fMRI) applications on Clouds and global Grids. We also present a demonstration of the Aneka System. Aneka is a .NET based Cloud software platform that provides: (i) a configurable service container hosting pluggable services for discovering, scheduling various types of workloads and (ii) a flexible and extensible framework supporting various programming models. We use distributed Grid and Cloud resources from Australia, Austria, France, Japan, and USA for the executions of image registration workflow, and resources from Melbourne University for executing map-reduce applications in Aneka cloud environment.

关键词： Image registration Workflow management software Cloud computing Grid computing Optical computing Magnetic resonance imaging Application software Containers Processor scheduling Australia

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Performance analysis of multiple site resource provisioning: effects of the precision of availability information 08

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Proceedings of the 15th international conference on High performance computing

作者： Marcos Dias De Assunção Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering The University of Melbourne Australia and NICTA Victoria Research Laboratory The University of Melbourne Australia Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering The University of Melbourne Australia

ISBN: (纸本)9783540898931

Emerging deadline-driven Grid applications require a numberof computing resources to be available over a time frame, startingat a specific time in the future. To enable these applications, it is importantto predict the resource availability and utilise this informationduring provisioning because it affects their performance. It is impracticalto request the availability information upon the scheduling of everyjob due to communication overhead. However, existing work has notconsidered how the precision of availability information influences theprovisioning. As a result, limitations exist in developing advanced resourceprovisioning and scheduling mechanisms. This work investigateshow the precision of availability information affects resource provisioningin multiple site environments. Performance evaluation is conductedconsidering both multiple scheduling policies in resource providers andmultiple provisioning policies in brokers, while varying the precision ofavailability information. Experimental results show that it is possible toavoid requesting availability information for every Grid job scheduledthus reducing the communication overhead. They also demonstrate thatmultiple resource partition policies improve the slowdown of Grid jobs.

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Simulation of Buffer Management Policies in Networks for Grids

Simulation of Buffer Management Policies in Networks for Gri...

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Annual Symposium on Simulation

作者： Agustín Caminero Anthony Sulistio Blanca Caminero Carmen Carrión Rajkumar Buyya Department of Computing Systems University of Castilla La Mancha Spain Department of Computer Science and Software Engineering University of Melbourne Australia

Grid technologies are emerging as the next generation of distributed computing, allowing the aggregation of resources that are geographically distributed across different locations. The network remains an important requirement for any Grid application, as entities involved in a Grid system (such as users, services, and data) need to communicate with each other over a network. The performance of the network must therefore be considered when carrying out tasks such as scheduling, migration or monitoring of jobs. Network buffers management policies affect the network performance, as they can lead to poor latencies (if buffers become too large), but also leading to a lot of packet droppings and low utilization of links, when trying to keep a low buffer size. Therefore, network buffers management policies should be considered when simulating a real Grid system. In this paper, we introduce network buffers management policies into the GridSim simulation toolkit. Our framework allows new policies to be implemented easily, thus enabling researchers to create more realistic network models. Fields which will harness our work are scheduling, or QoS provision. We present a comprehensive description of the overall design and a use case scenario demonstrating the conditions of links varied over time.

关键词： Computational modeling Grid computing Computer network management Computer networks Distributed computing Delay Quality of service Monitoring Processor scheduling Computer science

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Fast Progress-Based Routing in Sensing-Covered Networks

Fast Progress-Based Routing in Sensing-Covered Networks

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IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Tarek El Salti Thomas Fevens Alaa E. Abdallah Department of Computing and Information Science University of Guelph Guelph ONT Canada Department of Computer Science and Software Engineering Concordia University Montreal QUE Canada

A sensing-covered network is a wireless sensor network where every single point in the geographic area is covered by the sensing range of at least one sensor node. For routing on such a 2- D sensing-covered network topology, we propose a new greedy forwarding-type progress-based routing protocol GC2 , as well as a hybrid routing algorithm SCL : GC2 which is based on GC2 and a faster simplified version of the BVGF routing protocol of Xing et al (2006), called SCL. Both these algorithms guarantee delivery on sensing-covered networks, even when the average node degree is reduced by routing on an Adaptive Yao subgraph. We demonstrate through simulations that GC2 improves on the performance of greedy forwarding, and that SCL : GC2 finds paths with average lengths that are close to those for BVGF while performing significantly fewer expensive calculations.

关键词： Wireless sensor networks Routing protocols Application software Temperature sensors Euclidean distance Network topology Sensor systems Computer networks Information science Computer science

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