نتایج جستجو برای: elastic demand

تعداد نتایج: 215852  

2012
Wesam Dawoud Ibrahim Takouna Christoph Meinel Hasso Plattner

Elasticity is one of the distinguishing characteristics associated with Cloud computing emergence. It enables cloud resources to auto-scale to cope with workload demand. Multi-instances horizontal scaling is the common scalability architecture in Cloud; however, its current implementation is coarse-grained, while it considers Virtual Machine (VM) as a scaling unit, this implies additional scali...

2015
Babak Haghpanah Hamid Ebrahimi Davood Mousanezhad Jonathan Hopkins Ashkan Vaziri

We introduce a novel concept for the design of programmable-elasticity metamaterials; materials whose elastic properties can be modified instantaneously and reversibly on demand. Real-time tunable linear and nonlinear elastic moduli are obtained in lattice materials by adjustment of strut connectivity via actuation of embedded electromagnetic locks. The Young’s modulus and Poisson’s ratio of pr...

2009
Prabhat Patnaik

Any recession by definition is associated with an excessive liquidity preference. An ex ante excess supply of goods and services, i.e. the demand for goods and services falling short of the base output at the base prices corresponding to that output, which is what a recession is, must be associated with an ex ante excess demand for money at that output and prices. This is simply Walras’ Law. Th...

Journal: :Future Generation Comp. Syst. 2012
Rodrigo N. Calheiros Adel Nadjaran Toosi Christian Vecchiola Rajkumar Buyya

Cloud computing allows customers to dynamically scale their applications, software platforms, and hardware infrastructures according to negotiated Service Level Agreements (SLAs). However, resources available in a single Cloud data center are limited, thus if a large demand for an elastic application is observed in a given time, a Cloud provider will not be able to deliver uniform Quality of Se...

2015
P. Kannan

Elastic Resource Allocation Challenges in Cloud computing System 1 Dr. M. Durairaj, 2 P. Kannan 1 Assistant Professor, 2 Research Scholar School of Computer Science, Engineering and Applications, Bharathidasan University, Tiruchirappalli, India. __________________________________________________________________________________________ Abstract: Elastic resource allocation in cloud computing par...

Journal: :RAIRO - Operations Research 2007
Alain Quilliot Fatiha Bendali Jean Mailfert

We present here a pricing model which is an extension of the cooperative game concept and which includes a notion of elastic demand. We present some existence results as well as an algorithm, and we conclude by discussing a specific problem related to network

2004
Christopher P. Adams

The paper estimates the demand for new digital cameras sold in eBay auctions. EBay data seems to offer significant advantages over traditional transactions data for estimating demand for differentiated products. However, there are a number of concerns including censoring bias and the interpretation of the bidding behavior. This paper presents results from three different methods for estimating ...

1997
James W. Roberts

This paper is motivated by the concern of the multiservice network provider who wishes to offer users quality of service guarantees concerning transparency, accessibility and throughput. We consider how these guarantees can be respected jointly by implementing a simple service model distinguishing stream and elastic traffic, and by providing sufficient network capacity to ensure negligible bloc...

Journal: :journal of structural engineering and geo-techniques 2015
araliya mosleh jose jara humberto varum

past earthquakes have demonstrated that old rc bridges may be seismically vulnerable. bridge responses during the last decades illustrated the necessity of the seismic assessment of bridges especially those which were designed with old codes. in this research an existing concrete bridge representative of the most common bridges in the highway system in iran are studied. push over and nonlinear ...

2015
F. J. Arcelus Satyendra Kumar G. Srinivasan

This paper analyzes the manufacturers’ strategy of optimizing the direct rebate to the final customer and the wholesale price to a profit-maximizing retailer with a price-dependent stochastic demand. The manufacturer possesses full information about the cost and the functional relationship among demand, price and rebate, but may or may not know about the nature of the underlying demand uncertai...

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