Real-Time Cloud-Based Load Balance Algorithms and an Analysis

被引：0
作者：
Gundu S.R. [1 ]
Panem C.A. [2 ]
Thimmapuram A. [1 ]
机构：
[1] Department of Computer Science, Dravidian University, Andhra Pradesh, Kuppam
[2] Department of Electronics, Goa University, Goa, Taleigao
来源：
SN Computer Science | 2020年 / 1卷 / 4期
关键词：
AI; ARPANET; Autonomic; Cloud computing; IaaS; Infrastructural constraints; IoT; Load balancing; PaaS; Robotics; SaaS; SWOT analysis; Virtualization;
D O I：
10.1007/s42979-020-00199-8
中图分类号：
学科分类号：
摘要：
Advancement in communication technologies has also made a positive impact by increase in the computation. Cloud computing is an internet-based computational utility which has reduced the cost of computation and cutting short of larger investments. Cloud is service-oriented architecture with decentralized computation. The SWOT analysis of the cloud computing can be used virtually in every industry to improve the service delivery and improvement; in return, it improves the business. There is a need of a cloud computing system which can use the cloud for the high-performance applications, increased scalability, ability to handle sudden request traffic increase, flexibility to change when applying new topologies, business continuity with complete flexibility, and overall improvement in the cloud system performance. Various load balancing techniques are available in cloud computing which are needed to study for the development of in advent of new emerging technologies like IoT, robotics, and AI. © 2020, Springer Nature Singapore Pte Ltd.
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