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.

In the present day scenario cloud computing is an attractive subject for IT and non IT personnel. It is a service-oriented pay per use computational model. Cloud has working models with service-oriented delivery mechanism as well as deploymentoriented infrastructure mechanism. Data centers are the backbone of cloud computing. The massive participation of public has also increased the load on the cloud servers. Proper scheduling of resources is always needed. Quality of service is to be provided as per the service level agreement. Virtualization technique is the main reason behind the huge success of cloud. Multi-cloud exchanges to optimize connectivity today, multi-cloud exchanges offer the next level in direct connectivity, allowing organizations to safely and easily expand multi-cloud capabilities. Exchanges eliminate the added worries that an open Internet can bring as well as the tedious provisioning and configuring that comes with connecting to the public Internet. Importantly, multi-cloud exchanges allow organizations to establish a single connection to multiple cloud providers at the same time through an Ethernet switching platform, rather than wrestling with multiple individual connections to cloud providers.

The exchange of information from one person to another is called communication. Telecommunication makes it possible with electronic devices and their tools. The scientist Alexander Graham Bell has invented the basic telephone in 1876 in the USA. Telephones now have the new format in the form of mobile phones, which are the primary media for communicating and transmitting data. We are using 5th-generation mobile network standards. Still, there are some requirements for the users that are believed to be solved in the 6th-generation mobile network standards. By 2030, all of the people would be using 6G. The computing model in the cloud is not dependent on either the location or any specific device that would provide the service. It is an on-demand computational service-oriented mechanism. Combining these two technologies as mobile cloud computing provides customized options with more flexible implementations. Artificial intelligence is being used in devices in many fields. AI can be used in mobile network services (MNS) to provide more reliable and customized services to the users, such as network operation monitoring, network operation management, fraud detection, and reduction in mobile transactions and security to the cyber devices. Combining cloud with AI in mobile network services in the 6th generation would improve human beings’ lives, such as zero road accidents, advanced level special health care, and zero crime rates in society. However, the most vital needs for sixth-generation standards are the capability to manage large volumes of records and excessive-statistics-fee connectivity in step with gadgets. The sixth-generation mobile network is under development. This generation has many exciting features. Security is the central issue that needs to be sorted out using appropriate forensic mechanisms. There is a need to approach high-performance computing for improved services to the end-user. Considering three-dimensional research methodologies (technical dimension, organizational dimension, and applications hosted on the cloud) in a high-performance computing environment leads to two different cases such as real-time stream processing and remote desktop connection and performance test. By ‘narrowing the targeted worldwide audience with a wide range of experiential opportunities,’ this paper is aimed at delivering dynamic and varied resource allocation for reliable and justified on-demand services.

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Cloud is Internet-based utility computing which offers a choice to rent and use the computational resources on subscription basis. It has the service-oriented and deployment models which would provide suitable services to the end-users. Robotics can be defined as a machine which would do some useful works as given by the user which would reduce his/her work and make smooth transactions. Cloud robotics is an upcoming technological area with a combination of cloud computing and robotics. Interconnection of these two fields would profit the mankind. Many more different varieties of applications are emerging as on today. In coming of the days, cloud robots will have major role to perform, such as to improve the 'public utility of technology'. This paper describes the laws of robotics, characteristics of robotics, need for cloud robotics, initial steps for cloud robotics, available cloud robotic technologies, constraints on cloud robotics, cloud robotics architectures, addressing needs of cloud robotics, cloud robotic algorithm-SLAM. This present paper would bring out a review of all such aspects which would benefit the reader with a fine tune.