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The Scope Of Cloud Computing In ‘Problem Solving’ Architecture

Problem solving is a significant field that has undergone mass transformation due to certain technological advancements during the last few years. On an initial level, problem solving has been aided by virtualization and data generation. Now the induction of cloud computing allows designers to use data to solve problems in a new way.

Since physical location doesn’t matter to the cloud, the cost of labor and infrastructure within many industries can be reduced.

Scope of application

The scope of cloud computing applications in problem solving is extensive and is not limited to a single domain. One example that is relevant in this regard is that of Green Fuels, an engineering firm. Recently, it made a shift to the usage of cloud computing. Within green firms, information exchange has been made easy through the integration of this technology. The advantage of application can be seen on the grounds that the company has been able to increase its turnover from 20% to 90%, remarkable figures indeed.

Secondly, problem solving approaches can be found within security measures too. Methods to detect intrusion and prevent hacking also fall in this category. iOS and Android smartphone security tools are able to scan the data within cloud connections and keep it secure. Modern offerings don’t even have a limit on the number of scans that can be made. This leads to a dual advantage of data theft prevention as well as instant access. Today’s mobile security software is able to download “a dedicated removal tool in accordance with the type of malware threat detected [that then] removes and restores the smartphone back to its normal settings.” (Source:

On a more macro level, there is the example of Escape Dynamics, which is using the application of cloud computing within aerospace systems and components. The benefit of this usage is that it reduces the development timeline and cuts cost on prototype generation. Cloud computing assists in optimization steps, where multiple simulations have to be run. Previous models were increasingly cost extensive and required hardware infrastructure in excess.

A very interesting and futuristic application of cloud computing has been employed within Vancouver. The city has been able to generate a simulated version of itself using cloud computing and 3D modeling programs. Cloud computing is involved in matching terrain files, making footprints, capturing satellite photos, and using GIS data to feed the modeling program.

Architecture of Problem Solving

Research work has effectively explored how cloud computing has a deeply rooted problem solving architecture. This construct is based on four layers, which can be used by different companies for effective solutions.

The first layer is that of connectivity, which caters to the main communication as well as the authentication protocols deemed necessary for a secure network.

The second layer comprises ‘resource’ and is dedicated towards discovery, negotiation, monitoring and operation management. In this layer, cloud computing is involved in efficient allocation of resources and also high speed data transfer.

The third layer is that of ‘collective’ and is focused towards capturing interactions and management of directory services. The monitoring and discovery steps are also part of this layer.

The last layer is that of ‘application’ and is holistic in nature. It focuses on the creation of customized application based on earlier defined protocols, which are checked within a specific scenario and then applied for data analysis.

Usage of cloud computing is getting a lot of acknowledgement, but more work should be focused towards problem solving. The problem solving aspect of cloud is its fundamental efficiency and is being slightly underused.

Focus on the problem solving approach would lead to a more secure virtual experience as explained by the example of security tools and the architecture would provide a conceptual model for application.