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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...

引用

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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A general framework of targeted marketing 1

引用

Third International Atlantic Web Intelligence Conference on Advances in Web Intelligence, AWIC 2005

作者： Huang, Jiajin Zhong, Ning Yao, Y.Y. Liu, Chunnian Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory College of Computer Science and Technology Beijing University of Technology 100022 Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi-City 371-0816 Japan Department of Computer Science University of Regina Regina Sask. S4S 0A2 Canada

ISBN: (数字)9783540319009

ISBN: (纸本)3540262199

In this paper, inspired by a unified probabilistic model of information retrieval, we propose a general framework of targeted marketing by considering three types of information, namely, the customer profiles, the product profiles, and the transaction databases. The notion of market value functions is introduced, which measure the potential value or profit of marketing a product to a customer. Four sub-models are examined for the estimation of a market value function. Based on market value functions, two targeted marketing strategies, namely, customer-oriented targeted marketing and product-oriented targeted marketing, are suggested. This paper focuses on the conceptual development of the framework. The detailed computation of a market value function and the evaluation of the proposed framework will be reported in another paper. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Information retrieval

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Critical-path and priority based algorithms for scheduling workflows with parameter sweep tasks on global grids

Critical-path and priority based algorithms for scheduling w...

引用

International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

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

Parameter-sweep has been widely adopted in large numbers of scientific applications. Parameter-sweep features need to be incorporated into grid workflows so as to increase the scale and scope of such applications. New scheduling mechanisms and algorithms are required to provide optimized policy for resource allocation and task arrangement in such a case. This paper addresses scheduling sequential parameter-sweep tasks in a fine-grained manner. The optimization is produced by pipelining the subtasks and dispatching each of them onto well-selected resources. Two types of scheduling algorithms are discussed and customized to adapt the characteristics of parameter-sweep, as well as their effectiveness has been compared under multifarious scenarios.

关键词： Scheduling algorithm Application software Sensor arrays Grid computing Filtering Data visualization Processor scheduling Resource management Laboratories computer science

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Cost-based scheduling for data-intensive applications on global grids 05

Cost-based scheduling for data-intensive applications on glo...

引用

International Symposium on High Performance Distributed Computing

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

We present an algorithm for scheduling distributed data intensive bag-of-task applications on data grids that have costs associated with requesting, transferring and processing datasets. We evaluate the algorithm on a... 详细信息

ISBN: (纸本)9780780390379

关键词： Processor scheduling Costs Grid computing Application software Physics computer networks Laboratories computer science software engineering Testing

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Facilitating the construction of specification pattern-based properties

Facilitating the construction of specification pattern-based...

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IEEE International Conference on Requirements engineering

作者： S. Konrad B.H.C. Cheng Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI USA

Formal specification languages are often perceived as difficult to use by practitioners, and are therefore rarely-used in industrial software development practices. Numerous researchers have developed specification pattern systems to facilitate the construction of formal specifications of system properties. Feedback indicates that these patterns are considered helpful, but many practitioners prefer capturing properties using informal notations, such as natural language, instead of formal specification languages. This paper describes a project that addresses this technology gap. First, we introduce a stepwise process for deriving and instantiating system properties in terms of their natural language representations. The key components of this process are structured natural language grammars and specification pattern systems. Second, we describe SPIDER, a prototype implementation of a tool suite supporting this specification process. We illustrate the use of our approach with a description of a stepwise construction process of property specifications of a real-world automotive embedded system using Spider.

关键词： Natural languages Formal specifications Logic Construction industry Feedback Automotive engineering Industrial training Pattern analysis software engineering Laboratories

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MNP: Multihop Network Reprogramming Service for Sensor Networks

MNP: Multihop Network Reprogramming Service for Sensor Netwo...

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International Conference on Distributed Computing systems

作者： S.S. Kulkarni Limin Wang Software Engineering and Network Systems Laboratory Department of Computer Science and Engineering Michigan State University East Lansing MI USA

Reprogramming of sensor networks is an important and challenging problem as it is often necessary to reprogram the sensors in place. In this paper, we propose a multihop reprogramming service designed for Mica-2/XSM motes. One of the problems in reprogramming is the issue of message collision. To reduce the problem of collision and hidden terminal problem, we propose a sender selection algorithm that attempts to guarantee that in a neighborhood there is at most one source transmitting the program at a time. Further, our sender selection is greedy in that it tries to select the sender that is expected to have the most impact. We also use pipelining to enable fast data propagation. MNP is energy efficient because it reduces the active radio time of a sensor node by putting the node into "sleep" state when its neighbors are transmitting a segment that is not of interest. Finally, we argue that it is possible to tune our service according to the remaining battery level of a sensor, i.e., it can be tuned so that the probability that a sensor is given the responsibility of transmitting the code is proportional to its remaining battery life

关键词： Spread spectrum communication Wireless sensor networks Bandwidth Sensor systems Energy efficiency Batteries software engineering Laboratories computer science Pipeline processing

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A mobile agent-based P2P Autonomous Security Hole Discovery system

A mobile agent-based P2P Autonomous Security Hole Discovery ...

引用

First International Conference on Natural Computation, ICNC 2005

作者： Zheng, Ji Wang, Xin Xue, Xiangyang Toh, C.K. Software School Fudan University Shanghai 200433 China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China Department of Computer Science and Engineering Fudan University Shanghai 200433 China Dept. of Electronic Engineering Queen Mary University of London United Kingdom

A general or agent-based security system is usually constructed hierarchically and has a central manager acting as head of the whole system. However, the manager becomes a bottleneck for being connected by each client. It can even overload when too many clients request service simultaneously. The whole system may collapse when the central manager is attacked. And these systems are passive to detect and deal with the secure problem. Hereby we present a mobile agent-based P2P Autonomous Security Hole Discovery system (PASHD). It can detect infection and network intrusion based on knowledge of the local host. Viruses will be removed and connection will be refused after identification. In case of a suspicious activity, PASHD initiates a voting approach to make a collective decision and take further action. This system acts self-learning when encountering intrusion or infection with new patterns. And it has the capability of autonomous discovery the security hole of hosts in network. The integration of peer-to-peer behavior with mobile agents reduces latency and load;however, flexibility, effectivity, security and cooperation of the system are enhanced. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Hierarchical systems

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A retraining methodology for enhancing agent intelligence

A retraining methodology for enhancing agent intelligence

引用

International Conference on Integration of Knowledge Intensive Multi-Agent systems (KIMAS)

作者： P.A. Mitkas A.L. Symeonidis I.N. Athanasiadis Intelligent Systems and Software Engineering Laboratory Informatics and Telematics Institute CERTH Thessaloniki Greece Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

Data mining has proven a successful gateway for discovering useful knowledge and for enhancing business intelligence in a range of application fields. Incorporating this knowledge into already deployed applications, though, is highly impractical, since it requires reconfigurable software architectures, as well as human expert consulting. In an attempt to overcome this deficiency, we have developed agent academy, an integrated development framework that supports both design and control of multiagent systems (MAS), as well as agent training. We define agent training as the automated incorporation of logic structures generated through data mining into the agents of the system. The increased flexibility and cooperation primitives of MAS, augmented with the training and retraining capabilities of agent academy, provide a powerful means for the dynamic exploitation of data mining extracted knowledge. In this paper, we present the methodology and tools for agent retraining. Through experimental results with the agent academy platform, we demonstrate how the extracted knowledge can be formulated and how retraining can lead to the improvement - in the long run - of agent intelligence.

关键词： intelligent agent Delta modulation Data mining Humans Companies Application software software architecture Multiagent systems Reconfigurable logic Collaborative software

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A time optimization algorithm for scheduling bag-of-task applications in auction-based proportional share systems

A time optimization algorithm for scheduling bag-of-task app...

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International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： A. Sulistio R. Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering University of Melbourne Carlton VIC Australia

Grid and peer-to-peer (P2P) network technologies enable aggregation of distributed resources for solving large-scale and computationally-intensive applications. These technologies are well-suited for bag-of-tasks (BoT) applications, because each application consists of many parallel and independent tasks. With multiple users competing for the same resources, the key challenge is to finish a user application within a specified deadline. In this paper, we propose a time optimization algorithm that schedules a user application on auction-based resource allocation systems. These allocation systems, which are based on proportional share, allow users to bid higher in order to gain more resource shares. Therefore, this algorithm adjusts a user bid periodically on these systems in order to finish the application on time.

关键词： Scheduling algorithm Application software Resource management Peer to peer computing Processor scheduling Grid computing computer applications Large-scale systems computer networks Distributed computing

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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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