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Ranjan, Rajeev
- Specifying CPU Requirements for HPC Applications via ML Techniques
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Affiliations
1 School of C&IT, REVA University, Bengaluru, IN
2 School of CSA, REVA University, Bengaluru, IN
1 School of C&IT, REVA University, Bengaluru, IN
2 School of CSA, REVA University, Bengaluru, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No SP 5 (2019), Pagination: 1-3Abstract
Resource distribution in data centers is difficult for service providers because of the structures of usage and condition setup decisions. Customers encounter issues to anticipate the amount of CPU and memory required for job execution, and henceforth are not ready to assess when work yield shall be accessible to plan for next analyses. Systems that utilize cluster scheduler structures to gauge job execution time exists in the literature. Notwithstanding, we have seen that such methods are not appropriate for anticipating CPU utilization. In this paper, we assist customers to figure out their applications CPU usage utilizing machine learning (ML) techniques. We analyze how scheduler can be utilized to predict CPU utilization through ML techniques, and its evaluation on two frameworks containing an enormous number of user jobs.Keywords
HPC, CPU Prediction, Machine Learning.Full Text
References
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- D. Tsafrir, Y. Etsion, D. G. Feitelson, "Backfilling using system-generated predictions rather than user runtime estimates", IEEE Transactions on Parallel and Distributed Systems 18 (6), 789-803, 2017.
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- A Survey on Fuzzy Based Sensor Network and Its Applications
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Authors
Affiliations
1 School of CSA, REVA University, Rukmini Knowledge Park Yelahanka, Kattigenahalli, Bengaluru, Karnataka 560064, IN
1 School of CSA, REVA University, Rukmini Knowledge Park Yelahanka, Kattigenahalli, Bengaluru, Karnataka 560064, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No SP 5 (2019), Pagination: 69-73Abstract
Wireless Sensor Networks (WSNs) have been broadly applied in many fields such as industry, agriculture, event detection & monitoring, time critical applications and research to facilitate the gathering and distribution of information. The WSNs consist of many low cost sensor nodes. Each sensor node consists of a microprocessors and radio transceivers and can only be equipped with limited resources like power, bandwidth etc. Fuzzy logic is a recent approach to tackle few of the important decision making aspects of WSNs. Fuzzy sets provides a robust mathematical solutions for dealing with real-world problems and non-statistical uncertainty. The paper reviews few fuzzy set based solutions for WSNs applications.Keywords
Wireless Sensor Networks (WSNs), Fuzzy Sets, Fuzzy Types, WSN Applications.Full Text
References
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- Secure and Supportable Burden Adjusting of Edge Server Centers in Fog Computing
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Authors
Affiliations
1 School of CSA, REVA University, Bangalore, IN
1 School of CSA, REVA University, Bangalore, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No SP 5 (2019), Pagination: 74-77Abstract
Haze figuring is an ongoing examination pattern to convey distributed computing administrations to organize edges. ESCs are sent to lessen the torpidity and framework blockage by taking care of data streams and customer requests in close progressing.ESC organization is appropriated in nature and situated among cloud information jogs and information sources. Burden adjusting is the way toward redistributing the remaining task at hand betweenESCs to recover both asset usage & employment reaction time. Burden adjusting additionally keeps away from a circumstance somewhere ESCs are intensely stacked while others are out of gear state or doing little information preparing. In such situations, load adjusting between the ESCs assumes an imperative job for client reaction and constant occasion discovery. As the ESCs are sent in an unattended space, secure approval of ESCs is a fundamental problem to address before execution load adjusting. This article proposes a novel weight adjusting procedure to approve the ESCs and invention less stacked ESCs for errand apportioning. The future weight altering system is more capable than extra existing techniques in result less stacked ESCs for task assignment. The future system not simply improves viability of weight altering; it moreover braces the safety by affirming the objective ESCs.Full Text
References
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- The Discovery for Privacy & Security in Various Big Data Application:A Study
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Authors
Affiliations
1 School of CSA, REVA University, Rukmini Knowledge Park Yelahanka, Kattigenahalli, Bengaluru, Karnataka 560064, IN
1 School of CSA, REVA University, Rukmini Knowledge Park Yelahanka, Kattigenahalli, Bengaluru, Karnataka 560064, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No SP 5 (2019), Pagination: 78-82Abstract
This paper is aiming to provide a literature re-examine on the need of data safety and privacy issues of various big data applications. In this, the first section gives a brief description of big data. The second section reviews the application of big data and, hence, explains the importance of privacy and security of Big Data in the third section.Keywords
Big Data, Application, Security, Privacy.Full Text
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