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Is it Possible to Sequence Continuously Changing Workload Patterns for Periodic Elastic Scaling?

by Ravi (Ravinder) Prakash G., Akshay Reddy
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 10
Year of Publication: 2016
Authors: Ravi (Ravinder) Prakash G., Akshay Reddy
10.5120/ijais2016451555

Ravi (Ravinder) Prakash G., Akshay Reddy . Is it Possible to Sequence Continuously Changing Workload Patterns for Periodic Elastic Scaling?. International Journal of Applied Information Systems. 10, 10 ( May 2016), 12-22. DOI=10.5120/ijais2016451555

@article{ 10.5120/ijais2016451555,
author = { Ravi (Ravinder) Prakash G., Akshay Reddy },
title = { Is it Possible to Sequence Continuously Changing Workload Patterns for Periodic Elastic Scaling? },
journal = { International Journal of Applied Information Systems },
issue_date = { May 2016 },
volume = { 10 },
number = { 10 },
month = { May },
year = { 2016 },
issn = { 2249-0868 },
pages = { 12-22 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number10/896-2016451555/ },
doi = { 10.5120/ijais2016451555 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:03:14.441018+05:30
%A Ravi (Ravinder) Prakash G.
%A Akshay Reddy
%T Is it Possible to Sequence Continuously Changing Workload Patterns for Periodic Elastic Scaling?
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 10
%P 12-22
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Measurability is a concept in periodic Elastic scaling based on the following two conditions: (a) a cloud service provider should be cautious, that is, should not exclude any cloud consumer’s resource pooling pattern strategy from consideration; and (b) a cloud service provider should consider the cloud consumers’ resource pooling pattern preferences, that is, should deem a cloud consumer’s resource pooling pattern strategy ki infinitely more likely than k'i if it premises the cloud consumer to prefer ki to k'i. A resource pooling pattern strategy is measurable if it can optimally be chosen under common resource pooling pattern conjecture in the events (a) and (b). In this paper we present an algorithm that for every finite periodic Elastic Scaling operation computes the set of all measurable resource pooling pattern strategies. The algorithm is based on the new idea of an Continuously Changing Workload preference limitation, which is a pair (ki, Vi) consisting of a resource pooling pattern strategy ki, and a subset of resource pooling pattern strategies Vi, for cloud service provider i. The interpretation is that cloud service provider i prefers some resource pooling pattern strategy in Vi to ki. The algorithm proceeds by successively adding Continuously Changing Workload preference limitations to the periodic Elastic Scaling.

References
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  2. Amresh Kumar, Kiran M., Saikat Mukherjee, Ravi Prakash G., Verification and Validation of MapReduce Program model for Parallel K-Means algorithm on Hadoop Cluster, International Journal of Computer Applications, 48-55, Volume 72, No. 8, June 2013.
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  20. Ravi (Ravinder) Prakash G, Kiran M. "On the MapReduce Arrangements of Cartesian product Specific Expressions". International Journal of Computer Applications 112(9):34-41, February 2015.
  21. Ravi (Ravinder) Prakash G, Kiran M., On Job Chaining MapReduce Meta Expressions of Mapping and Reducing Entropy Densities. International Journal of Computer Applications 113(15): 20-27, March 2015.
  22. Ravi (Ravinder) Prakash G, Kiran M. "On Chain Folding Problems of Chain Mapper and Chain Reducer Meta Expressions". International Journal of Computer Applications 116(16): 35-42, April 2015.
  23. Ravi (Ravinder) Prakash G, Kiran M."On Job Merging MapReduce Meta Expressions for Multiple Decomposition Mapping and Reducing". International Journal of Computer Applications 118 (13):14-21, May 2015.
  24. Ravi (Ravinder) Prakash G, Kiran M." Characterization of Randomized External Source Output Map Reduce Expressions". International Journal of Computer Applications 123(14):9-16, August 2015.
  25. Ravi (Ravinder) Prakash G, Kiran M., Does there Exist Pruning Decomposition for MapReduce Expressions Arrangements?. International Journal of Computer Applications 125(12): 41-48, September 2015.
  26. Ravi (Ravinder) Prakash G, Kiran M: Can one find External Source Input Expressions for which there exist Map Reduce Configurations? International Journal of Computer Applications 128(12): 14-21, October 2015.
  27. Ravi (Ravinder) Prakash G. and Kiran M.. Is It True for Static Scaling Cloud Model there Exists a Centrally Asymmetric Static Workload Pattern?. Communications on Applied Electronics 3(4):39-48, November 2015.
  28. Ravi (Ravinder) Prakash. G and Kiran M., Given a Static Workload Cloud Computing Patterns does it have an Elastic Scaling? Communications on Applied Electronics 4(2): 17-26, January 2016.
  29. Ravi (Ravinder) Prakash G. and Kiran M., How can Periodic Workload Cloud Pattern benefit from Periodically Peaking Utilization?. International Journal of Applied Information Systems 10(5):27-36, February 2016.
Index Terms

Computer Science
Information Sciences

Keywords

Periodic Elastic Scaling measurability Continuously Changing Workload preference limitation resource pooling pattern Totally Ordered Data-Intensive Systems.

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