Deep Reinforcement-Based Cloud Resource Allocation Based on Variable Auto-Encoder (VAE)
Karthik Kambhampati1, A. Srinagesh2

1Karthik Kambhampati, Research Scholar, Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur (A.P), India.
2Dr.A.Srinagesh, Associate Professor, Department of Computer Science and Engineering, RVR&JC College of Engineering, Guntur (A.P), India. 

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1497-1501 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7878068519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: The cloud gives minimal effort and adaptable IT resources (equipment and programming) over the Internet. Due to the availability of cloud vendors look to drive more prominent business results and the situations of the cloud become increasingly confounded, through which we can sense that the era of the smart cloud has arrived. The smart cloud faces a few difficulties, including upgrading the monetary cloud administration arrangement and adaptively allotting resources. Specifically, there is a developing pattern toward utilizing AI to improve the knowledge of cloud the executives. This article talks about a design of astute cloud resource the executives with deep reinforcement learning based on auto-encoder. The deep reinforcement learning makes clouds naturally and proficiently arranges the most suitable design, legitimately from entangled cloud situations. At long last, we give a guide to assess and close the amazing capacity of the smart cloud with deep reinforcement learning. We used CloudSim for implementation as a result to increase the effectiveness of proposed method.
Keywords: Reinforcement Learning, Auto-Encoder, Cloud Resources, Controller, Allocator.

Scope of the Article: Deep Learning