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Advanced QoS methods for grid workflows based on meta-negotiations and SLA-mappings

Advanced QoS methods for Grid workflows based on meta-negoti...

引用

Workshop on Workflows in Support of Large-Scale Science, WORKS

作者： Ivona Brandic Dejan Music Schahram Dustdar Srikumar Venugopal Rajkumar Buyya Institute of Information Systems University of Technology Vienna Austria Grid Computing and Distributed System (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as quality of service (QoS), are satisfied. QoS is negotiated between two parties following the specific negotiation protocols and is recorded using service level agreements (SLAs). However, most of the existing work assumes that the communication partners know about the SLA negotiation protocols and about the SLA templates before entering the negotiation. However, this is a contradictory assumption, if we consider computational grids and novel, commercially oriented computing clouds where consumers and providers meet each other dynamically. In this paper, we present novel meta-negotiation and SLA-mapping solutions for grid workflows bridging the gap between current QoS models and grid workflows, one of the most successful grid programming paradigms. We illustrate the open research issues with a real world case study. Thereafter, we present document models for the specification of meta-negotiations and SLA-mappings. We discuss the architecture for the management of meta-negotiations and SLA-mappings as well as integration of the architecture into a grid workflow management framework.

关键词： Quality of service Protocols grid computing Cloud computing Resource management Information systems Laboratories Computer science Software engineering Application software

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grid Economics and Business Models 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Jörn Altmann Rajkumar Buyya Omer F. Rana

ISBN: (数字)9783642038648

ISBN: (纸本)9783642038631

GECON - grid Economics and Business Models Cloud computing is seen by many people as the natural evolution of grid computing concepts. Both, for instance, rely on the use of service-based approaches for pro- sioning compute and data resources. The importance of understanding business m- els and the economics of distributed computing systems and services has generally remained unchanged in the move to Cloud computing. This understanding is nec- sary in order to build sustainable e-infrastructure and businesses around this paradigm of sharing Cloud services. Currently, only a handful of companies have created s- cessful businesses around Cloud services. Among these, Amazon and Salesforce (with their offerings of Elastic Compute Cloud and force. com among other offerings) are the most prominent. Both companies understand how to charge for their services and how to enable commercial transactions on them. However, whether a wide-spread adoption of Cloud services will occur has to seen. One key enabler remains the ability to support suitable business models and charging schemes that appeal to users o- sourcing (part of) their internal business functions. The topics that have been addressed by the authors of accepted papers reflect the above-described situation and the need for a better understanding of grid economics. The topics range from market mechanisms for trading computing resources, capacity planning, tools for modeling economic aspects of service-oriented systems, archit- tures for handling service level agreements, to models for economically efficient resource allocation.

关键词： Computer Communication Networks e-Commerce/e-business Information systems and Communication Service Computer Appl. in Administrative Data Processing Simulation and Modeling Special Purpose and Application-Based systems

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Brain Image Registration Analysis Workflow for fMRI Studies on Global grids

Brain Image Registration Analysis Workflow for fMRI Studies ...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Suraj Pandey William Voorsluys Musta?zur Rahman Rajkumar Buyya James Dobson Kenneth Chiu Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Psychological & Brain Sciences Dartmouth College USA Grid Computing Research Laboratory Department of Computer Science State University of New York Binghamton NY USA

Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of globally distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute *** this paper, we present the processing of image registration (IR) for functional magnetic resonance imaging(fMRI) studies on global grids. We characterize the application, list its requirements and transform it to a workflow. We then execute the application on gridpsila5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on global grids.

关键词： Brain Image registration Image analysis distributed computing grid computing Optical computing Image storage Neuroscience Data analysis Middleware

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A Memory Management system to Reflect User Behavior and Preference

A Memory Management system to Reflect User Behavior and Pref...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Yoshitake Kobayashi Kazuaki Morito Satoshi Yazawa Ken Nakayama Mamoru Maekawa Department of Information Systems Science The University of Electro-Communications Japan Grid Computing and Distributed Systems (GRIDS) Laboratory The University of Melbourne Australia Center of Developing e-Learning The University of Electro-Communications Japan

In this paper, we present a memory management system that reflects user behavior and preference. A user can run multiple applications at the same time even if the capacity of physical memory is not enough. The operating system supports virtual memory in order to supply larger memory space, however low performance can be observed in some cases. For example, a user runs multiple applications and wants to reuse one application, which has not been used for a while. As the application is already stored in virtual memory, it takes a long time for the user to be able to reuse it. To solve this problem, the system needs to know what applications are frequently used by the user and which application is more important than others for the user. The memory management system suggested in this paper enables to record the user behavior and assumes user preference in applications. The effects of our system on the performance in application execution are evaluated and reported

关键词： Memory management Application software Operating systems Resource management Information systems Switches Design optimization Real time systems grid computing Laboratories

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Cost-based scheduling of scientific workflow applications on utility grids

Cost-based scheduling of scientific workflow applications on...

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IEEE International Conference on e-Science and grid computing

作者： Jia Yu R. Buyya Chen Khong Tham Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia Department of Electrical and Computer Engineering National University of Singapore Singapore

Over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on their QoS (quality of service) requirements. In such "pay-per-use" grids, workflow execution cost must be considered during scheduling based on users' QoS constraints. In this paper, we propose a cost-based workflow scheduling algorithm that minimizes execution cost while meeting the deadline for delivering results. It can also adapt to the delays of service executions by rescheduling unexecuted tasks. We also attempt to optimally solve the task scheduling problem in branches with several sequential tasks by modeling the branch as a Markov decision process and using the value iteration method

关键词： Optimal scheduling Processor scheduling Scheduling algorithm Workflow management software grid computing Quality of service Costs Computer networks Time factors Delay

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A distributed heuristic for decentralized workflow scheduling in global grids

A distributed heuristic for decentralized workflow schedulin...

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International Workshop on grid computing

作者： Mustafizur Rahman Rajiv Ranjan Rajkumar Buyya Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Service Oriented Computing Research Group School of Computer Science and Engineering University of New South Wales Australia

Efficient scheduling is a key concern for the effectual execution of performance driven grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized grid environment. However, in this paper, we present a distributed list heuristic for decentralized scheduling of workflow applications in global grids. The simulation results show that the proposed scheduling approach is scalable with respect to increased workload on the system.

关键词： Processor scheduling grid computing Resource management Computer science Scheduling algorithm Laboratories Software engineering distributed computing Application software Peer to peer computing

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Dependable workflow scheduling in global grids

Dependable workflow scheduling in global Grids

引用

International Workshop on grid computing

In this paper, a reputation-based grid workflow scheduling algorithm is proposed to counter the effect of inherent unreliability and temporal characteristics of computing resources in large scale, decentralized grid overlays. The proposed approach builds upon structured peer-to-peer indexing and overlay networking techniques to create a scalable wide-area networking of grid sites for supporting dependable scheduling of applications. The scheduling algorithm considers reliability of a grid resource as a statistical property, which is globally computed in the decentralized grid overlay based on dynamic feedbacks or reputation scores assigned by individual service consumers (grid Resource Brokers). The proposed algorithm can dynamically adapt to changing resource conditions and offer significant performance gains as compared to traditional approaches in the event of unsuccessful job execution or resource failure. We evaluate and demonstrate the feasibility of our approach through an extensive trace driven simulation. The results show that our scheduling technique can reduce the makespan up to 50% and successfully isolate the failure-prone resources from the system.

关键词： Processor scheduling Scheduling algorithm grid computing Counting circuits Large-scale systems Peer to peer computing Indexing Feedback Heuristic algorithms Performance gain

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A Heuristic for Mapping Virtual Machines and Links in Emulation Testbeds

A Heuristic for Mapping Virtual Machines and Links in Emulat...

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International Conference on Parallel Processing (ICPP)

作者： Rodrigo N. Calheiros Rajkumar Buyya César A.F. De Rose Pontifical Catholic University of Rio Grande do Sul Porto Alegre Brazil Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia

distributed system emulators provide a paramount platform for testing of network protocols and distributed applications in clusters and networks of workstations. However, to allow testers to benefit from these systems, it is necessary an efficient and automatic mapping of hundreds, or even thousands, of virtual nodes to physical hosts-and the mapping of the virtual links between guests to physical paths in the physical environment. In this paper we present a heuristic to map both virtual machines to hosts and virtual links between virtual machines to paths in the real system. We define the problem we are addressing, present the solution for it and evaluate it in different usage scenarios.

关键词： Virtual machining System testing Switches grid computing Network topology Cloud computing Software testing LAN emulation Wide area networks Parallel processing

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Towards a grid of Sensors for Telemedicine

Towards a Grid of Sensors for Telemedicine

引用

Annual IEEE Symposium on Computer-Based Medical systems

作者： C.O. Rolim F.L. Koch M. Assuncao C.B. Westphall Network and Management Laboratory Federal University of Santa Catarina Florianopolis Santa Catarina Brazil Grid Computing and Distributed Systems Laboratory and NICTA Victoria Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne VIC Australia

In this article, we describe a grid of sensors to collect patients' vital data and to allow real time monitoring of patients in heath-care centres. We analyse the problem scenario and identify the components involved towards the construction of an integrated and homogeneous management system. Finally, we present a case study to demonstrate the applicability of our approach

关键词： Telemedicine grid computing Laboratories Real time systems Sensor systems Patient monitoring Computerized monitoring Data security Ontologies Computer architecture

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Semantic-based grid Resource Discovery and its Integration with the grid Service Broker

Semantic-based Grid Resource Discovery and its Integration w...

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International Conference on Advanced computing and Communications (ADCOM)

作者： Thamarai Selvi Somasundaram R.A. Balachandar Vijayakumar Kandasamy Rajkumar Buyya Rajagopalan Raman N. Mohanram S. Varun Department of Information Technology Anna University Chennai India Grid Computing and Distributed Systems Laboratory Department of Computer Science and Software Engineering University of Melbourne VIC Australia Centre for Development of Advanced Computing Chennai India Centre for Development of Advanced Computing Bangalore India

This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top of gridbus broker architecture and thereby enabling broker to discover resources semantically. The semantic component in the knowledge layer enables semantic description of grid resources with the help of ontology template. The ontology template has been created using Protege-OWL editor for different types of computing resources in the grid environment. The Globus Toolkit's MDS is used to gather grid resource information and Protege-OWL libraries are used to dynamically create knowledge base of grid resources. Algernon inference engine is used for interacting with the knowledge base to discover suitable resources.

关键词： distributed computing Ontologies Middleware Computer architecture Computer networks grid computing Libraries Engines Monitoring Aggregates

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