Defining an Elasticity Metric for Cloud Computing Environments
Journal Title: EAI Endorsed Transactions on Cloud Systems - Year 2016, Vol 2, Issue 5
Abstract
Elasticity is a key property of cloud computing environments and one of the features which distinguishes this paradigm from other ones. An elasticity metric could be used to define and to monitor Service Level Agreements (SLAs), to compare and to benchmark different cloud providers or to improve provisioning and management decisions in real time if it could be measured with some simple procedure, to mention only some examples. Unfortunately, there are not still standard elasticity metrics capable of easily capturing its main components or aspects, these are, scalability, accuracy, time and cost. This work defines a new elasticity metric for cloud computing environments which not only captures these four essential components but also provides a simple procedure to analyse elasticity in cloud contexts. The obtained experimental results on a real cloud environment evidence that this new elasticity metric is able to quantify the degree of elasticity obtained in different cloud scenarios and to establish interesting comparisons and analysis.
Authors and Affiliations
Marta Beltran
Keywords
Related Articles
- EP ID EP45573
- DOI http://dx.doi.org/10.4108/eai.14-12-2015.2262685
- Views 252
- Downloads 0
Hybrid Scheduling for Quality of Service Guarantee of Multimedia Data Flows in Software Defined Networks
Supporting diverse Quality of Service (QoS) performance for heterogeneous data flows generated by multimedia applications has been a challenging issue that is not fully addressed in the Internet. Software Defined Network...
Large Scale Cross-media Data Retrieval based on Hadoop
With the rapid development of the Internet and speedy increase of the data size, there are more and more data intensive applications which often involve hundreds of megabytes of data. It is important and necessary to obt...
Efficient File Replication in Large Wireless Networks with Dynamic Popularity
We investigate the problem of replication in large wireless networks that employ caching in the case of a single file whose popularity varies with time. As opposed to the case of static popularity, in this case for the n...
Necessary & Sufficient Conditions for Consistency of Haar Wavelet Expressions to their resizable Hadoop Cluster Channels and Complexity
Abstract—We develop a novel technique for resizable Hadoop cluster’s lower bounds, the bipartite matching rectangular array of Haar Wavelet expressions. Specifically, fix an arbitrary hybrid kernel function 𝒇 ∶ {𝟎, 𝟏}𝒏 →...
Authenticated Mobile Groups To Secure The Backhaul: A New Paradigm And Challenges
In this paper, it is proposed to use group communication cryptographic protocols as a new security paradigm. This new paradigm aims at redesigning the security of small cell communications over an insecure mobile backhau...