检索结果-内蒙古大学图书馆

INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED computing 2015年第4期8卷 115-122页

作者： Mondal, Ranjan Kumar Sarddar, Debabrata Univ Kalyani Dept Comp Sci & Engn Kalyani 741235 W Bengal India

With the growing demand for computing resources and network capacity, providing scalable and reliable computing service on the Internet becomes a challenging issue. Recently more attention has been paid to the utility computing concept aiming to provide computing as a utility service similar to water and electricity. While the concept is very challenging in general we focus our attention in this chapter to a restrictive environment web applications, given the omnipresent use of web applications on the Internet, this environment is rich and important enough to warrant careful research. This paper describes the approaches and challenges in building such a computing platform.

关键词： utility computing Web Applications Application Servers Resource Provisioning

来源：评论

学校读者我要写书评

暂无评论

Integrated Risk Analysis for a Commercial computing Service in utility computing

引用

JOURNAL OF GRID computing 2009年第1期7卷 1-24页

作者： Yeo, Chee Shin Buyya, Rajkumar Univ Melbourne Grid Comp & Distributed Syst Lab Dept Comp Sci & Software Engn Melbourne Vic 3010 Australia

Recent technological advances in Grid computing enable the virtualization and dynamic delivery of computing services on demand to realize utility computing. In utility computing, computing services will always be available to the users whenever the need arises, similar to the availability of real-world utilities, such as electrical power, gas, and water. With this new outsourcing service model, users are able to define their service needs through Service Level Agreements (SLAs) and only have to pay when they use the services. They do not have to invest on or maintain computing infrastructures themselves and are not constrained to specific computing service providers. Thus, a commercial computing service will face two new challenges: (i) what are the objectives or goals it needs to achieve in order to support the utility computing model, and (ii) how to evaluate whether these objectives are achieved or not. To address these two new challenges, this paper first identifies four essential objectives that are required to support the utility computing model: (i) manage wait time for SLA acceptance, (ii) meet SLA requests, (iii) ensure reliability of accepted SLA, and (iv) attain profitability. It then describes two evaluation methods that are simple and intuitive: (i) separate and (ii) integrated risk analysis to analyze the effectiveness of resource management policies in achieving the objectives. Evaluation results based on simulation successfully demonstrate the applicability of separate and integrated risk analysis to assess policies in terms of the objectives. These evaluation results which constitute an a posteriori risk analysis of policies can later be used to generate an a priori risk analysis of policies by identifying possible risks for future utility computing situations.

关键词： utility computing Grid economy Risk Service Resource management Performance evaluation

来源：评论

学校读者我要写书评

暂无评论

Cost minimization in utility computing systems

引用

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2014年第1期26卷 287-307页

作者： Penmatsa, Satish Chronopoulos, Anthony T. Univ Maryland Eastern Shore Dept Math & Comp Sci Princess Anne MD 21853 USA Univ Texas San Antonio Dept Comp Sci San Antonio TX 78249 USA

utility computing is a form of computer service whereby the company providing the service charges the users for using the system resources. In this paper, we present system-optimal and user-optimal price-based job allocation schemes for utility computing systems whose objective is to minimize the cost for the users. The system-optimal scheme provides an allocation of jobs to the computing resources that minimizes the overall cost for executing all the jobs in the system. The user-optimal scheme provides an allocation that minimizes the cost for individual users in the system for providing fairness. The system-optimal scheme is formulated as a constraint minimization problem, and the user-optimal scheme is formulated as a non-cooperative game. The prices charged by the computing resource owners for executing the users jobs are obtained using a pricing model based on a non-cooperative bargaining game theory framework. The performance of the studied job allocation schemes is evaluated using simulations with various system loads and configurations. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： job allocation utility computing cost minimization fairness

来源：评论

学校读者我要写书评

暂无评论

Pricing utility computing services

引用

INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH 2007年第2期4卷 114-127页

作者： Denne, Mark Accenture Ltd Chicago IL 60601 USA Sun Microsyst Inc Java Ctr New York NY USA

utility computing is the emerging term for the delivery of information technology in a "pay-as-you-go" model. It has attracted considerable attention as a means of delivering lower total cost of ownership (TCO) and more predictable service levels for in-house IT At its heart, utility transformation allows IT consumers to switch from capital-based procurement of IT assets to operational cost procurement of IT services. Unsurprisingly, the change is closely linked with the adoption of service oriented architectures (SOA) and service oriented infrastructures (SOI). In fact, utility transformation often provides the overarching business and financial framework for driving a move to SOA. It defines the IT chargeback environment and the resulting compelling business context. Key to the success of utility transformation is the implementation of appropriate service pricing models. A variety of innovative pricing models can be used to improve service predictability, to create incentives for certain behaviors, and to manage the flow of notional revenue to the IT organization (ITO). They are invaluable to the SOA business case. This article examines several such models.

关键词： class of service cost model compute utility IT chargeback next generation data center price model service-oriented architecture service-oriented infrastructure service pricing storage utility ticket-based pricing utility computing utility transformation value center economics

来源：评论

学校读者我要写书评

暂无评论

Market-oriented Grids and utility computing: The State-of-the-art and Future Directions

引用

JOURNAL OF GRID computing 2008年第3期6卷 255-276页

作者： Broberg, James Venugopal, Srikumar Buyya, Rajkumar Univ Melbourne Dept Comp Sci & Software Engn Grid Comp & Distributed Syst Lab Melbourne Vic Australia

Traditional resource management techniques (resource allocation, admission control and scheduling) have been found to be inadequate for many shared Grid and distributed systems, that consist of autonomous and dynamic distributed resources contributed by multiple organisations. They provide no incentive for users to request resources judiciously and appropriately, and do not accurately capture the true value, importance and deadline (the utility) of a user's job. Furthermore, they provide no compensation for resource providers to contribute their computing resources to shared Grids, as traditional approaches have a user-centric focus on maximising throughput and minimising waiting time rather than maximising a providers own benefit. Consequently, researchers and practitioners have been examining the appropriateness of 'market-inspired' resource management techniques to address these limitations. Such techniques aim to smooth out access patterns and reduce the chance of transient overload, by providing a framework for users to be truthful about their resource requirements and job deadlines, and offering incentives for service providers to prioritise urgent, high utility jobs over low utility jobs. We examine the recent innovations in these systems (from 2000-2007), looking at the state-of-the-art in price setting and negotiation, Grid economy management and utility-driven scheduling and resource allocation, and identify the advantages and limitations of these systems. We then look to the future of these systems, examining the emerging 'Catallaxy' market paradigm. Finally we consider the future directions that need to be pursued to address the limitations of the current generation of market oriented Grids and utility computing systems.

关键词： Market-oriented Grids utility computing Catallaxy

来源：评论

学校读者我要写书评

暂无评论

Autonomic metered pricing for a utility computing service

引用

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2010年第8期26卷 1368-1380页

作者： Yeo, Chee Shin Venugopal, Srikumar Chu, Xingchen Buyya, Rajkumar Univ Melbourne Grid Comp & Distributed Syst Lab Dept Comp Sci & Software Engn Melbourne Vic 3010 Australia Univ New S Wales Sch Comp Sci & Engn Sydney NSW 2052 Australia

An increasing number of providers are offering utility computing services which require users to pay only when they use them. Most of these providers currently charge users for metered usage based on fixed prices. In this paper, we analyze the pros and cons of charging fixed prices as compared to variable prices. In particular, charging fixed prices do not differentiate pricing based on different user requirements. Hence, we highlight the importance of deploying an autonomic pricing mechanism that self-adjusts pricing parameters to consider both application and service requirements of users. Performance results observed in the actual implementation of an enterprise Cloud show that the autonomic pricing mechanism is able to achieve higher revenue than various other common fixed and variable pricing mechanisms. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Service pricing Autonomic management Advanced reservation Quality of Service (QoS) utility computing Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Interconnection networks: Architectural challenges for utility computing data centers

引用

COMPUTER 2008年第9期41卷 62-+页

作者： Lysne, Olav Reinemo, Sven-Arne Skeie, Tor Solheim, Ashild Gronstad Sodring, Thomas Huse, Lars Paul Johnsen, Bjorn Dag Univ Oslo Simula Res Lab N-0316 Oslo Norway Sun Microsyst Oslo Norway

Although academic interest in computational grids may have peaked, it spawned awareness of a new operational mode for computational data centers, utility computing. In this mode, the system assigns compute resources to customers on demand. A utility computing data center dynamically creates virtual servers containing a subset of the available resources to fulfill user demands. The jobs or services running in a UCDC typically have diverse characteristics, such as different resource requirements, running times, software quality, security requirements, and importance.

关键词： Multiprocessors Interprocessor Communications System Architectures Interconnection Architectures Data Centers utility computing

来源：评论

学校读者我要写书评

暂无评论

Game based capacity allocation for utility computing environments

引用

TELECOMMUNICATION SYSTEMS 2011年第1-2期47卷 165-181页

作者： Yolken, Benjamin Bambos, Nicholas Stanford Univ Dept Management Sci & Engn Stanford CA 94305 USA Stanford Univ Dept Elect Engn Stanford CA 94305 USA

utility computing has the potential to greatly increase the efficiency of IT operations by sharing resources across multiple users. This sharing, however, introduces complex problems with regards to pricing and allocating these resources in a way that is fair, easy to implement, and economically efficient. In this paper, we study a queue-based model that attempts to address these issues. Each client/user has a continuous flow of jobs that need to be processed. The service rate each receives, however, is proportional to a bid it submits to the system operator. Assuming that user costs are some function of their average backlogs plus their bid amounts, we use this allocation mechanism to construct an economic game. Much previous research has shown that these types of allocation games have desirable properties if the cost functions are well-defined and convex over the space of possible outcomes. Because of its queueing interface, however, our model induces functions that do not satisfy the latter, commonly assumed properties. In spite of these complications, we show that the game still has a unique equilibrium and that the system will converge to this point if users iteratively make "best response" updates to their bids. Finally, we explore the "price of anarchy" in our model, proving a bound on efficiency losses as a function of several fundamental system parameters. Thus, our scheme results in equilibria with a number of highly desirably properties.

关键词： Game theory Queuing theory utility computing

来源：评论

学校读者我要写书评

暂无评论

Structural Health Monitoring Installation Scheme using utility computing Model 2

Structural Health Monitoring Installation Scheme using Utili...

引用

2nd European Conference on Electrical Engineering and Computer Science (EECS)

作者： Tariq, Hasan Tahir, Anas Touati, Farid Al-Hitmi, Mohammed Abdulla E. Crescini, Damiano Ben Manouer, Adel Qatar Univ Coll Engn Dept Elect Engn Doha Qatar Qatar Univ Doha Qatar Brescia Univ Brescia Italy Canadian Univ Dubai Dubai U Arab Emirates

ISBN: (纸本)9781728119298

In view of intensified disasters and fatalities caused by natural phenomena, there is a pressing need for an efficient environment logging that provides structural information to administrators for a better management and urban planning. This paper proposes a novel utility model for structural health monitoring that would enable early detection of risk factors and mitigation of loss. The proposed utility computing model takes the input data in terms of 'number of occupants' in a building (i.e. MAC, International Mobile Equipment Identifier addresses and biometric attendance system installed) and SHM system data (i.e. sensors readings). It give visual representation of all the data for utility managers and experts to decide better location of SHM and number of SHM needed per zone depending on high disturbances created due to higher occupancy and number of structures per zone. Denser area with higher structures and higher population will require more precise and accurate SHM systems compared to rural areas. It also analyzes the data from SHM system and using simple machine learning algorithm give experts' suggestions for type of SHM needed at an area. It make it possible for the data of each and every device of SHM systems over several zones to be accessible by specific authorities that can be used to predict as well as forecast any natural disaster. The Structural Health Monitoring utility model is unique in terms of its heterogeneity of resource management in realizing the utility processes. Finally, a case study of Qatar University is looked at where nodes are distributed in zones along with occupant measuring is used over each building. The data was taken over simulated occupation models and mathematical models from literature for occupation and zone calculation using ideal SHM system data. It can be inferred from the data that real-time analysis data will act similar to simulated and proposed utility computing System will give visual data and analyze the zones as

关键词： Structural Health Monitoring (SHM) utility computing Things as a Service (TaaS) Geographical Area Network (GAN) Internet of Things (IoT)

来源：评论

学校读者我要写书评

暂无评论

Service-aware virtual machine placement mechanism for utility computing

Service-aware virtual machine placement mechanism for utilit...

引用

18th IASTED International Conference on Parallel and Distributed computing and Systems

作者： Kawato, Masahiro Machida, Fumio Maeno, Yoshiharu NEC Corp Ltd Internet Syst Res Labs Nakahara Ku 1753 Shimonumabe Kawasaki Kanagawa 2118666 Japan

ISBN: (纸本)9780889866386

Dynamic server resource allocation to services on networks, or utility computing, is a powerful technology to provide required computer resources for multiple service providers at low cost. Virtual machine (VM) technology can be combined with utility computing to further improve server resource utilization. An important technical issue about VM-based utility computing is optimal placement of VMs on physical server nodes, because performance of services may be seriously affected by VM placement. We address this issue by introducing an on-line placement algorithm on the basis of performance influence among services. We have implemented this algorithm and evaluated on a simulated environment. The results have shown that the proposed mechanism can get roughly 25% better score calculated by the placement rules compared with a random placement algorithm.

关键词： virtual machine utility computing resource allocation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：