ARCHITECTURALCOMPONENTS AND EMERGING COMPUTINGARCHITECTURES TOWARDS CLOUD COMPUTING

Authors:

G. Ranadheer Reddy, V. Pranathi,P.Pramod Kumar,

DOI NO:

https://doi.org/10.26782/jmcms.2020.08.00037

Keywords:

Cloud computing,architecture,components,

Abstract

Usually, Cloud Computing companies are supplied through a 3rd party service provider who has the infrastructure. Cloud Computing holds the possibility to get rid of the demands for developing of high-cost computing facilities for IT-based alternatives as well as services that the industry utilizes. It assures the delivery of a flexible IT architecture, only available via web coming from light in weight portable devices. This would certainly enable a multi-fold boost in the ability as well as capabilities of the existing and brand new software. This all-new financial concept for computing has uncovered productive ground as well as additionally is luring substantial worldwide assets. A lot of business, like economic, health care and also learning are transferring towards the cloud due to the efficiency of services provided by the pay-per-use style based upon the resources such as refining electricity utilized, bargains conducted, bandwidth absorbed, details moved, or even keeping place taking up, etc. In a cloud computing setup, the entire reports dwell over a collection of online information, allowing the stories to become accessed with digital devices. This file mostly takes note of house components in addition to cultivating computing concepts towards cloud computing.

Refference:

I. D. Deepika, a Krishna Kumar, MonelliAyyavaraiah, Shoban Babu Sriramoju, “Phases of Developing Artificial Intelligence and Proposed Conversational Agent Architecture”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-8 Issue-12, October 2019, DOI: 10.35940/ijitee.L3384.1081219
II. Kiran Kumar S V N Madupu, “Tool to IntegrateOptimized Hardware and Extensive Software into Its Database to Endure Big Data Challenges”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN: 2456-3307, Volume 5, Issue 5, pp. 272-279, September-October 2019. Available at doi : https://doi.org/10.32628/CSEIT206275
III. Kiran Kumar S V N Madupu, “Key Methodologies for Designing Big Data Mining Platform Based on CloudComputing”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN: 2456-3307, Volume 1 Issue 2, pp. 190-196, September-October 2016. Available at doi: https://doi.org/10.32628/CSEIT206271
IV. Kiran Kumar S V N Madupu, “Opportunities and Challenges Towards Data Mining with Big Data”, International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN: 2395-602X, Print ISSN: 2395-6011, Volume 1 Issue 3, pp. 207-214, July-August 2015. Available at doi : https://doi.org/10.32628/IJSRST207255

V. Kiran Kumar S V N Madupu, “A Survey on Cloud Computing Service Models and Big Data Driven Networking”, International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN: 2395-602X, Print ISSN: 2395-6011, Volume 4 Issue 10, pp. 451-458, September-October 2018. Available at doi : https://doi.org/10.32628/IJSRST207257
VI. Kiran Kumar S V N Madupu, “Data Mining Model for Visualization as a Process of Knowledge Discovery”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, ISSN: 2278 – 8875, Vol. 1, Issue 4, October 2012.
VII. Kiran Kumar S V N Madupu, “Advanced Database Systems and Technology Progress of Data Mining”, International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319 – 8753, Vol. 2, Issue 3, March 2013
VIII. Kiran Kumar S V N Madupu, “Functionalities, Applications, Issues and Types of Data Mining System”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, Issue 8, August 2017
IX. M. M. Alabbadi, “Cloud Computing for Education and Learning: Education and Learning as a Service (ELaaS),” 2011 14th InternationalConferenceon InteractiveCollaborativeLearning(ICL), pp. 589 – 594, DOI=21-23 Sept.2011.
X. Naresh Kumar, S., Pramod Kumar, P., Sandeep, C.H. & Shwetha, S. 2018, “Opportunities for applying deep learning networks to tumour classification”, Indian Journal of Public Health Research and Development, vol. 9, no. 11, pp. 742-747.
XI. Pramod Kumar, P., Sandeep, C.H. & Naresh Kumar, S. 2018, “An overview of the factors affecting handovers and effective highlights of handover techniques for next generation wireless networks”, Indian Journal of Public Health Research and Development, vol. 9, no. 11, pp. 722-725.
XII. P. Pramod Kumar, S. Naresh Kumar, Ch. Sandeep, “FOR 4G HETEROGENEOUS NETWORKS A COMPARATIVE STUDY ON VERTICAL HANDOVER DECISION ALGORITHMS”, JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES, Vol.-15, No.-6, June(2019) pp 201-212

XIII. P. Pramod Kumar, S. Naresh Kumar, V. Thirupathi, Ch. Sandeep, “QOS AND SECURITY PROBLEMS IN 4G NETWORKS AND QOS MECHANISMS OFFERED BY 4G”, International Journal of Advanced Science and Technology, Vol. 28, No. 20, (2019), pp. 600-606

XIV. P. Pramod Kumar, K Sagar, “FLEXIBLE VERTICAL HANDOVER DECISION ALGORITHM FOR HETEROGENOUS WIRELESS NETWORKS IN 4G”, JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES, Vol.-14, No.-6, November -December (2019) pp 54-66

XV. P Pramod Kumar and K Sagar 2019, “A Relative Survey on Handover Techniques in Mobility Management”, IOP Conf. Ser.: Mater. Sci. Eng.594 012027
XVI. PushpavathiMannava, “An Overview of Cloud Computing and Deployment of Big Data Analytics in the Cloud”, International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Online ISSN: 2394-4099, Print ISSN: 2395-1990, Volume 1 Issue 1, pp. 209-215, 2014. Available at doi : https://doi.org/10.32628/IJSRSET207278
XVII. Pushpa Mannava, “Research Challenges and Technology Progress of Data Mining with Bigdata”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN: 2456-3307, Volume5 Issue 4, pp. 08-315, July-August 2019. Available at doi : https://doi.org/10.32628/CSEIT20627
XVIII. Pushpa Mannava, “Role of Big Data Analytics in Cellular Network Design”, International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN: 2395-602X, Print ISSN: 2395-6011, Volume 1 Issue 1, pp. 110-116, March-April 2015. Available at doi : https://doi.org/10.32628/IJSRST207254
XIX. Pushpa Mannava, “A Study on the Challenges and Types of Big Data”, “International Journal of Innovative Research in Science, Engineering and Technology”, ISSN(Online) : 2319-8753, Vol. 2, Issue 8, August 2013
XX. Pushpa Mannava, “Data Mining Challenges with Bigdata for Global pulse development”, International Journal of Innovative Research in Computer and Communication Engineering, ISSN(Online): 2320-9801, vol 5, issue 6, june 2017
XXI. Pushpa Mannava, “Big Data Analytics in Intra-Data Center Networks and Components Of Data Mining”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN: 2456-3307, Volume 1 Issue 3, pp. 82-89, November-December 2016. Available at doi : https://doi.org/10.32628/CSEIT206272
XXII. P. Kalagiakos “Cloud Computing Learning,” 2011 5th International Conference on Application of Information and Communication Technologies (AICT), Baku pp. 1 – 4, DOI=12-14 Oct.2011.
XXIII. Ramesh Gadde, Namavaram Vijay, “A SURVEY ON EVOLUTION OF BIG DATA WITH HADOOP” in “International Journal of Research In Science & Engineering”, Volume: 3 Issue: 6 Nov-Dec 2017.
XXIV. Sandeep, C.H., Naresh Kumar, S. & Pramod Kumar, P. 2018, “Security challenges and issues of the IoT system”, Indian Journal of Public Health Research and Development, vol. 9, no. 11, pp. 748-753.
XXV. Seena Naik, K. & Sudarshan, E. 2019, “Smart healthcare monitoring system using raspberry Pi on IoT platform”, ARPN Journal of Engineering and Applied Sciences, vol. 14, no. 4, pp. 872-876.
XXVI. Sheshikala, M., Kothandaraman, D., Vijaya Prakash, R. & Roopa, G. 2019, “Natural language processing and machine learning classifier used for detecting the author of the sentence”, International Journal of Recent Technology and Engineering, vol. 8, no. 3, pp. 936-939.
XXVII. Shailaja, P., Guru Rao, C.V. &Nagaraju, A. 2019, “A parametric oriented research on routing algorithms in mobile adhoc networks”, International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 1, pp. 4116-4126.
XXVIII. Sivakumar, M., Ramakrishna, M.S., Subrahmanyam, K.B.V. &Prabhandini, V. 2017, “Model Order Reduction of Higher Order Continuous Time Systems Using Intelligent Search Evolution Algorithm”, Proceedings – 2017 International Conference on Recent Trends in Electrical, Electronics and Computing Technologies, ICRTEECT 2017, pp. 70.
XXIX. Shailaja, G.K. & Rao, C.V.G. 2019, “Robust and lossless data privacy preservation: optimal key based data sanitization”, Evolutionary Intelligence.
XXX. Siripuri Kiran, Shoban Babu Sriramoju, “A Study on the Applications of IOT”, Indian Journal of Public Health Research & Development, November 2018, Vol.9, No. 11, DOI Number: 10.5958/0976-5506.2018.01616.9
XXXI. Sriramoju Ajay Babu, Namavaram Vijay and Ramesh Gadde, “An Overview of Big Data Challenges, Tools and Techniques”in “International Journal of Research and Applications”, Oct – Dec, 2017 Transactions 4(16): 596-601
XXXII. Srinivas, Chintakindi& Rao, Chakunta& Radhakrishna, Vangipuram. (2018). Feature Vector Based Component Clustering for Software Reuse. 1-6. 10.1145/3234698.3234737.
XXXIII. Subba Rao, A. &Ganguly, P. 2018, “Implementation of Efficient Cache Architecture for Performance Improvement in Communication based Systems”, International Conference on Current Trends in Computer, Electrical, Electronics and Communication, CTCEEC 2017, pp. 1192.

XXXIV. Venkatramulu, S. & Rao, Chakunta. (2018). CSES: Cuckoo Search Based Exploratory Scale to Defend Input-Type Validation Vulnerabilities of HTTP Requests. 10.1007/978-981-10-8228-3_23.Venkatramulu, S. & Guru Rao, C.V. 2017, “RPAD: Rule based pattern discovery for input type validation vulnerabilities detection & prevention of HTTP requests”, International Journal of Applied Engineering Research, vol. 12, no. 24, pp. 14033-14039.
XXXV. W. Dawoud, I. Takouna, and C. Meinel, “Infrastructure as a Service Security: Challenges and Solutions,” 2010 7thInternational Conference on Informatics and System, pp. 1-8, March2010.
XXXVI. W. Itani, A. Kayssi, and A. Chehab, “Privacy as a Service: Privacy-Aware Data Storage and Processing in Cloud Computing Architectures,” 2009 8th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2009, pp.711-716.

View Download