Predicting Resource Demand in Dynamic Utility Computing Environments

Author(s):  
A. Andrzejak ◽  
S. Graupner ◽  
S. Plantikow
Author(s):  
Jeremy Cohen ◽  
John Darlington

As computing power continues to grow and high performance computing use increases, ever bigger scientific experiments and tasks can be carried out. However, the management of the computing power necessary to support these ever growing tasks is getting more and more difficult. Increased power consumption, heat generation and space costs for the larger numbers of resources that are required can make local hosting of resources too expensive. Emergence of utility computing platforms offers a solution. We present our recent work to develop an update to our computational markets environment for support of application deployment and brokering across multiple utility computing environments. We develop a prototype to demonstrate the potential benefits of such an environment and look at the longer term changes in the use of computing that might be enabled by such developments.


2007 ◽  
Vol 41 (3) ◽  
pp. 289-302 ◽  
Author(s):  
Pradeep Padala ◽  
Kang G. Shin ◽  
Xiaoyun Zhu ◽  
Mustafa Uysal ◽  
Zhikui Wang ◽  
...  

Author(s):  
Cipriano A. Santos ◽  
Akhil Sahai ◽  
Xiaoyun Zhu ◽  
Dirk Beyer ◽  
Vijay Machiraju ◽  
...  

2010 ◽  
Vol 47 (1-2) ◽  
pp. 165-181 ◽  
Author(s):  
Benjamin Yolken ◽  
Nicholas Bambos

Author(s):  
Kiran Kumar S V N Madupu

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.


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