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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: ...

引用

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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Managing Risk of Inaccurate Runtime Estimates for Deadline Constrained Job Admission Control in Clusters

Managing Risk of Inaccurate Runtime Estimates for Deadline C...

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International Conference on Parallel Processing (ICPP)

作者： Chee Shin Yeo Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia

The advent of service-oriented grid computing has resulted in the need for grid resources such as clusters to enforce user-specific service needs and expectations. Service level agreements (SLAs) define conditions which a cluster needs to fulfill for various jobs. An example of SLA requirement is the deadline by which a job has to be completed. In addition, these clusters implement job admission control so that overall service performance does not deteriorate due to accepting exceeding amount of jobs. However, their effectiveness is highly dependent on accurate runtime estimates of jobs. This paper thus examines the adverse impact of inaccurate runtime estimates for deadline constrained job admission control in clusters using the earliest deadline first (EDF) strategy and a deadline-based proportional processor share strategy called Libra. Simulation results show that an enhancement called LibraRisk can manage the risk of inaccurate runtime estimates better than EDF and Libra by considering the risk of deadline delay

关键词： Risk management Admission control grid computing Runtime library Delay estimation Resource management Quality of service Laboratories Computer science Software engineering

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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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A Dynamic Critical Path Algorithm for Scheduling Scientific Workflow Applications on Global grids

A Dynamic Critical Path Algorithm for Scheduling Scientific ...

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IEEE International Conference on e-Science and grid computing

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

Effective scheduling is a key concern for the execution of performance driven grid applications. In this paper, we propose a dynamic critical path (DCP) based workflow scheduling algorithm that determines efficient mapping of tasks by calculating the critical path in the workflow task graph at every step. It assigns priority to a task in the critical path which is estimated to complete earlier. Using simulation, we have compared the performance of our proposed approach with other existing heuristic and meta-heuristic based scheduling strategies for different type and size of workflows. Our results demonstrate that DCP based approach can generate better schedule for most of the type of workflows irrespective of their size particularly when resource availability changes frequently.

关键词： Heuristic algorithms Scheduling algorithm Dynamic scheduling Processor scheduling grid computing Application software Availability Electrical capacitance tomography Software algorithms Laboratories

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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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G-monitor: a web portal for monitoring and steering application execution on global grids

G-monitor: a web portal for monitoring and steering applicat...

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International Workshop on Challenges of Large Applications in distributed Environments

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

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Service Level Agreement based Allocation of Cluster Resources: Handling Penalty to Enhance Utility

Service Level Agreement based Allocation of Cluster Resource...

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IEEE International Conference on Cluster computing

作者： Chee Shin Yeo Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia

Jobs submitted into a cluster have varying requirements depending on user-specific needs and expectations. Therefore, in utility-driven cluster computing, cluster resource management systems (RMSs) need to be aware of these requirements in order to allocate resources effectively. Service level agreements (SLAs) can be used to differentiate different value of jobs as they define service conditions that the cluster RMS agrees to provide for each different job. The SLA acts as a contract between a user and the cluster whereby the user is entitled to compensation whenever the cluster RMS fails to deliver the required service. In this paper, we present a proportional share allocation technique called LibraSLA that takes into account the utility of accepting new jobs into the cluster based on their SLA. We study how LibraSLA performs with respect to several SLA requirements that include: (i) deadline type whether the job can be delayed, (ii) deadline when the job needs to be finished, (iii) budget to be spent for finishing the job, and (iv) penalty rate for compensating the user for failure to meet the deadline

关键词： Resource management grid computing Quality of service Delay Finishing Admission control Laboratories Computer science Software engineering Contracts

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Program Phase Detection based on Critical Basic Block Transitions

Program Phase Detection based on Critical Basic Block Transi...

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IEEE International Symposium on Performance Analysis of systems and Software

作者： Paruj Ratanaworabhan Martin Burtscher Computer Systems Laboratory Cornell University USA Center for Distributed and Grid Computing University of Texas Austin USA

ISBN: (纸本)9781424422326

Many programs go through phases as they execute. Knowing where these phases begin and end can be beneficial. For example, adaptive architectures can exploit such information to lower their power consumption without much loss in performance. Architectural simulations can benefit from phase information by simulating only a small interval of each program phase, which significantly reduces the simulation time while still yielding results that are representative of complete simulations. This paper presents a lightweight profile-based phase detection technique that marks each phase change boundary in the program's binary at the basic block level with a critical basic block transition (CBBT). It is independent of execution windows and does not explicitly employ the notion of threshold to make a phase change decision. We evaluate the effectiveness of CBBTs for reconfiguring the LI data cache size and for guiding architectural simulations. Our CBBT method is as effective at dynamically reducing the L1 data cache size as idealized cache reconfiguration schemes are. Using CBBTs to statically determine simulation intervals yields as low a CPI error as the well-known SimPoint method does. In addition, experimental results indicate the CBBTs' effectiveness in both the self-trained and cross-trained inputs, demonstrating the CBBTs' stability across different program inputs.

关键词： Phase detection grid computing distributed computing Laboratories Computer architecture Energy consumption Performance loss Computational modeling Stability Intrusion detection

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Aneka: Next-Generation Enterprise grid Platform for e-Science and e-Business Applications

Aneka: Next-Generation Enterprise Grid Platform for e-Scienc...

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IEEE International Conference on e-Science and grid computing

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

In this paper, we present the design of Aneka, a .NET based service-oriented platform for desktop grid computing that provides: (i) a configurable service container hosting pluggable services for discovering, scheduling and balancing various types of workloads and (ii) a flexible and extensible framework/API supporting various programming models including threading, batch processing, MPI and dataflow. Users and developers can easily use different programming models and the services provided by the container to run their applications over desktop grids managed by Aneka. We present the implementation of both the essential and advanced services within the platform. We evaluate the system with applications using the grid task and dataflow models on top of the infrastructure and conclude with some future directions of the current system.

关键词： grid computing Object oriented modeling Containers Personal communication networks Application software Processor scheduling Data security Peer to peer computing Authentication Resource management

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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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