What is Distributed Cloud?
Distributed cloud is one of the applications of cloud computing technologies which is used to interconnect data and applications which are served from varied geographical locations. In the context of Information technology (IT), distributed means something that is shared among multiple systems that may be based in different locations. Distributed cloud helps in speeding up the communication for global services and it also enables more responsive communications for any particular region.
Types of distributed cloud
· Public-resource computing: This type of distributed cloud is a result of an expansive definition of cloud computing as it is more related to distributed computing than cloud computing. This is also considered as a sub-class of cloud computing.
· Volunteer cloud: This type of computing is characterized as the intersection of cloud computing and public-resource computing. In this type, a cloud computing infrastructure is built using volunteered resources. However, in this type of infrastructure, many challenges arise due to the volatility of the resources that are used to build it and the dynamic environment in which it operates. It is also called peer-to-peer clouds or ad-hoc clouds.
Benefits of distributed cloud
· Distributed cloud computing offers repetition and dependability, an geo-replication which encourages in reducing the cost.
· Distributed cloud also offers immediate fail-overs with the help of remote replicas that can instantly reset in case of failing.
· Distributed cloud reduces wide-area traffic. By using the resources provided by distributed cloud, wide-area communication can be reduced.
· Distributed cloud allows breaking complex problems and data into smaller pieces and has multiple computers which can be worked upon in parallel.
Drawbacks of distributed cloud
· Distributed computing systems are difficult to maintain, deploy and troubleshoot. These complexities are not only related to hardware but also need software that can handle security and communication.
· In distribution computing, the deployment cost is higher as compared to single system. The processing overhead due to additional computation and exchange also increases the overall cost.
· It is difficult to manage security of distributed systems as data access in centralized computing system requires more maintenance and security. Along with the network, the users also have to control the replicated data provided in multiple locations.
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