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Infrastructure Proposal For Capsid Analytics Assignment Sample

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Infrastructure Proposal For Capsid Analytics Assignment Sample


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Cloud computing is a rising advancement that permits the utilizers for accessing (in a convenient way) the assets of computing according to pay-per utilization services. As for this scenario, a new advancement concept’s a prior stage, assumptions are greater and the projections of growth are effective. The moderate sloth migration to the solutions of cloud within the software domain of corporation can be elaborated by dissimilar aspects. Moreover, seeing at the requirement side, the users of the business have a more complicated requirement of “Information Technology” than personal utilizers, since the professionals utilize enterprise software, for example, the system of “customer relationship management (CRM)” or “Enterprise resource planning (ERP)”. This has been done for providing support to their core business. However, it has been seen that, for assessing the platform as well as the application for the best solution at a corporation (that is medium-sized), the forecasted structure of the price highlighted to a multi-year expenditure (which is sizable) within the cloud service. Signing up the services of computing from the external side of the firewall presents the “cloud computing” definite from the computing approach of On-premise. Adoption in a wide manner of cloud has made a passage for various sellers with which they can make the transformation of their concentration from the solutions of on-premise to the delivery models of cloud. 

However, when it comes to the best approach for office activities (for example, conducting capsid analytics in a suitable way) then it can be said that there is no correct or incorrect answer for the software dilemma of either on-premise or cloud. Every single client is dissimilar and procures dissimilar demands that will motivate the selection of the implemented plan of action. It is not an astonishing fact that the approaches of cloud computing have developed more as per its fame, as its promise and attraction provide an offer on flexibility (newfound) for a corporation everything from the reduction of money as well as time consumption. This has been done for developing scalability and agility (Almansour et al. 2019). This report will be sectioned into 3 major sections which are infrastructure models, proposals and networking solutions. However, as for infrastructure models, the details regarding Cloud and On-prem will be covered. This includes the characteristics and both the positive and negative sides. Moreover, the hardware and software recommendations will be merged in this case with both the On-prem and cloud. As for the proposal section, this will be elaborated with proposed software programming for capsid analytics. Within the networking solution, the preferred or recommended services will be explained regarding the Capsid scenario and also a brief outline will be made regarding Networking Topology. Preferable equipment for networking is a crucial aspect of the analytics of Capsid and in this case, a presentation will be given regarding this. The necessary assumptions that can be built up regarding capsids are the application and execution of the machine learning for virus capsids (that are adeno-associated) to make a prediction on the basis of viral assembly.

Infrastructure models

Context of On-prem

On-prem or premises is a software programming which is installed and proceeds on computers regarding the establishment of the individual or corporation with the use of software, instead of at a facility (which is remote) a cloud or a server farm. As for the characteristics of this software programming they can be explained as follows:

  • Deployment: In this case, assets are implemented in-house and inside the IT infrastructure of a corporation. This corporation is responsible to manage the solution as well as all the connected procedures (Soliman and Pellizzoni, 2019). 
  • Control: As for this aspect, corporations obtain all of their information and the corporation has full control over the occurrence of future events regarding On-prem.
  • Cost: For organizations that implement On-prem software, they are in charge of the ongoing price of the server hardware, space, and the consumption of the power.

As for its benefits then it can be said that the protection of data is a considerable advantage when it comes to the utilization of this program as the information is stacked up locally on the user's premises. However, when it comes to the drawback, then the additional IT assistance becomes one of them. Because the utilization includes an additional activity of the maintenance of servers, which requires extra IT support.

Preferable hardware and software requirements 

As for the services of hardware that are needed for the solutions regarding On-prem it can be said, on the basis of the activity, the requirements differ. Such as for the production of on-premises deployments the preferable core needs to be 8 and memory will be 24 GB. In this scenario, the node type will be Data management batch and AOS. As for sandbox deployment, the preferable core will be 4 but the memory recommendations will be similar to the above. However, when it comes to software requirements, the preferable activity directory mode is "windows server 2016” and the SQL edition will be “Microsoft SQL Server 2019 Enterprise”.

Context of cloud

It can be stated that cloud computing is the convey of computing assistance that involves storage, databases, servers, analytics, networking, intelligence and many more over the web for offering quicker innovation, flexible assets and the finance of scale.

Characteristics of cloud

  • Pulling of resource: this indicates that a provider of cloud assistance may share assets within server clients, giving every single individual a dissimilar series of services regarding their needs.
  • Simple maintenance: The servers are balanced (effortlessly), and the downtime stays diminished. The Powered resources of cloud computing go through various updates often for optimizing their attributes as well as potential (Ashdown, 2022).
  • Quick elasticity and scalability: This attribute of cloud computing enables the running of working capacity (cost-effective) that needs a wide number of servers for only a little period. Various clients procure these types of workloads, which can be conducted in an effective way due to the quick scalability of this computing.
  • Self-service (which is on-demand): This characteristic of cloud computing enables the user for monitoring ( in a constant way) the abilities, uptime, and allotted network storage of the server.

Benefits and drawbacks of cloud computing 


  • Cost savings: Proceeding with cloud computing can decrease the price of maintaining and customizing the IT systems of the user. Instead of buying systems and assets (that are expensive) for a specific business, the user can decrease the prices by utilizing the assets of the service provider of cloud computing.
  • Scalability: Any business may either scale up or down its operation, and the shortage requires to fit the circumstances quickly, permitting flexibility as per the requirements of the business. However, with the use of the cloud the user can free up significant time so that the user can implement the time in conducting the additional aspects of the business. 
  • Collaboration efficiency: Collaboration within a cloud circumstance provides the business of a user the capability for making interaction as well as sharing outside of the conventional processes more simply (Kemper, 2021). 


  • Downtime: This can be one of the biggest drawbacks of it as the systems of cloud computing are internet-oriented, the outages of service become an unfortunate chance and it may happen for any cause (Larkin, 2019).
  • Vulnerable to attack: Within cloud computing, every single aspect of online, uncovers vulnerabilities (which is potential). Even the group of professionals suffer serious attacks as well as breaches in security from time to time.

Cloud deployments models

These types of models recognize the particular kind of cloud circumstance on the basis of access, scale, and ownership, as well as, the nature of the cloud. The position of the servers the user is using and the controlling individuals can be presented by a cloud deployment model. Dismissal kinds of deployment models of cloud computing are as follows:

  • Public cloud: This makes it feasible for any user to ingress services and systems. This deployment model is one in which the infrastructure services of the cloud can be given over the web to the normal individual or large sector groups (Upadhyay, 2020).
  • Private cloud: This deployment model is precisely the reverse of the public cloud. There is no requirement for sharing the hardware of the user with another individual. The platform of the cloud is executed in a secure circumstance (cloud-oriented) that is shielded by effective firewalls and under the monitoring of the IT section of an enterprise (geeksforgeeks.org, 2021).
  • Hybrid cloud: With a solution (hybrid), the user can host this deployment model within a safe circumstance while using the merits of cost savings of the public cloud. This is because this deployment model provides the user with both the attributes of the public and private cloud.

Cloud service models

There are mainly 3 kinds of service models of cloud and they are:

  • Software as a Service (SaaS)”: This service model is also recognized as “on-demand software" in which the programs can be managed by the service provider of the cloud. Users can have the opportunity to ingress these programs by utilizing a web browser and web connection.
  • Platform as a Service (PaaS)": This platform has been built up for the programmer for developing, examine, conduct, and maintain the applications. This service model is accessible to several utilizers through similar development programs.
  • Infrastructure as a Service (IaaS)": This is a computing framework customized over the web. The key benefit of utilizing this service model is that it aids the utilizers in ignoring the complexity and cost of buying as well as maintaining the physical servers. 


The rationale for selecting cloud

When it comes to choosing cloud computing for the analytical functionalities of the capsid, it can be stated that in recent times the increase in hardware, bandwidth and network, various new assistance have come to the programming industry as well as developed within the web. In this scenario cloud computing can become a new essence in which the virtualized assets ( that are dynamically scalable) within the items of computers are given as assistance over the web has come to be a crucial threat. As for the gene therapies of viral vector capsid a specific software program (which is cloud-based) has been developed to build up as well as convey cell and the therapies of the cell which according to various enterprises is better to be considered for loads of greater manufacturing instead of the processes that are paper-driven. In recent times various gene therapies are dependable on the developments in viral vectors, in which a virus (which is specially engineered) is utilized for transfecting cells that convey genes (that are defective) and placed the error-free genes into them (Dang et al. 2019). It can be recommended that with the use of the cloud platform of  Microsoft Azure. The success of the sector of genomics has directed the creation of a large quantity of data for Capsid sequencing. In this scenario, the deployment service models can be very useful. 

Figure 1: Key attributes of cloud computing in capsid analytics

(Source: Subramanian and Jeyaraj, 2018)

As genomics is the backbone of drug production the customization of large quantities of assets regarding viral vector capsid will deal with the situation of errors. A single genome sequence of a human builds up about 200 GB of raw information. This can be effective if it can be maintained for conducting a sequence of more than 100 million genomes then it is possible to gather more than 20 billion GB of fresh data. As for the use of the PaaS service model, in this case, it is constructed on virtualization advancement which indicates the activity of scaling up or down the capsid data according to the requirement of the enterprise. Therefore it is recommended to utilize the service model like Heroku, Apache Stratos and others. Moreover, remote access with the use of SaaS will enhance the genome integrity for capsid analytics (Subramanian and Jeyaraj, 2018). Commercial cloud computing can be the considerable approach in this case, as it may build up new data centres, decrease the costs, including the services and produce profits (that are notable). All of the computing model services of the cloud will bring up an opportunity to the storage section for all capsid-centric information for developing the process of gene therapy. This is suitable for a recommendation that the use of "cloud life science” which is formally acknowledged as “Google genomics" will bring flexibility to the process of the viral capsid. The reason behind this is that it will enable the community of genomes for processing biomedical information regarding gene therapy at scale.

The rationale for selecting On-prem

This brings the use of on-premise programming in the approach of capsid and for this scenario the necessary software, se4rvices and networking requirements for consideration are necessary. As the analytics of capsid will be dealt with over the web the compatible web browser is necessary for consideration and in this scenario, the use of Google Chrome or Mozilla Firefox will be preferable. However, browsing software like Microsoft Edge or internet explorer cannot be considered. Moreover, the main considerable software, Microsoft .NET Framework 4.7.2, will be suitable for easing the process of gathering genome research. The reason is that, as it is interface-oriented it will help the analytics to utilise page instances and the "user controls of ASP.NET" for the projects of web implementation of gene therapy. Moreover, unlike cloud computing the approach of on-prem will provide more security to the data of gene for Capsid as the cloud data is vulnerable to the attack of third parties. In this case, the approach On-prem will provide a greater security approach. The reason is that the network of on-prem is not accessible to those users who are externally engaged in the network. 

As all of the empty capsids need to be managed effectively at the time of the production process and they need to be observed via analytical testing, therefore it is preferable to state that, the approach of on-premise will provide full observation control over the server. The main profitable thing for on-prem is the utilization without access over the internet. Genome research is very valuable to be utilized for capsid analytics and as it is the backbone the security concerns regarding data-stealing as well as breaching become significant in that case. The offline progress of on-prem may give ease to the utilizers to gain full authorization over the research data on the basis of capsid analytics. The utilization of on-prem can bring also full control over the hardware aspects. In this scenario, rather than, asking for permissions regarding the4 characterization updates and attributes features the users can make their move over to the upgrading approach. They will be able to make customization over the hardware of the on-premise server. As capsid analytics make a shield over the functional integrity of the RNA-oriented data the hardware server control will play a trump card for security purposes.

The rationale for selecting hybrid

The use of hybrid models which include both the use of cloud computing and On-prem attributes can bring ease to all capsid-oriented computational challenges. The aspects of cloud computing of this hybrid model will permit an offering of storage (which is on-demand) as well as an assistance analysis which can be varied from high-performance computing (that is conventional) by their quick scalability as well as the availability of services. Moreover, this model will enable the user of capsid analytics to implement all types of sensitive genome research in a cloud or on-premises as well as will help to host resources (which are less critical) regarding the research on a provider of public cloud (third party). The hybrid version, in this case, may utilize the new cloud advancement without composing any type of data to a third party vendor on the basis of gene therapy and this highlights an effective side of this hybrid version toward the aspect of genome data security (Srivastava and Khan, 2018). The user will have the opportunity to migrate the data loads to and from the conventional framework as well as the public cloud of the third party according to its importance of it. Both the approaches of on-premise and cloud computing will offer various options in resources as this version will have access to both the public cloud and the physical server of the information of an enterprise. 

This will make an easy take for the capsid analytics to utilize and deploy the resources to the gene therapy for accomplishing the necessary requirements. However, if the requirement surpasses the capability of the local centaur of data then this version will automatically permit the user to proceed with the resources of the public cloud. Both the on-premise and cloud serving attributes will enable the enterprise to conduct the workloads on the basis of access over both the local and online environments. As for security concerns, the hybrid version will permit the genome data to be stacked up within a private circumstance while conducting the procurement of dissimilar resources that are necessary for gene therapy. This will permit the user to accomplish requirements (that are regulatory) and still will get the profits from the elasticity of the cloud. However, it is necessary to the recommendation that a firm network connection is needed to establish a successful plan of action for a hybrid cloud. This indicates a requirement of a WAN or an effective networking service that will manage extra security aspects regarding capsid research. Both the local and public storage services will permit the user to utilize almost unlimited storage for resources. This involves mismanagement in the stack-up regarding information. A load of data will have the chance to face a data breaching event which may be a considerable safety concern. In this case, this hybrid version will permit the programs as well as components for interoperating over limitations between architectures as well as cloud instances. Not only permitting both the features o on-premise and cloud, but it will also enable access over both the public and private. Therefore, all the sensitive genome datasets will access the private cloud whereas the workloads regarding gene therapy will be conducted on the public cloud.

Networking solution

Service requirements for the corporation

According to the scenario, which has been made in the above portion, it can be stated that to develop an improved infrastructure the corporation needs to involve some effective course of action on the basis of workstation connectivity, wireless networking connection and others. However, with that, the corporation can manage the work activities regarding cloud computing as well as utilise the full efficiency of the hybrid versions of both On-prem and cloud computing. It is necessary to the recommendation that the corporation can implement access points (which are wireless) over the workstation for providing wireless connectivity of the network to the utilizers. Every single workstation of the corporation will obtain an IP address through DHCP ("Dynamic Host Configuration Protocol”). However, after a server of a file (merged with an IP that is static) is linked to the network (wired), the corporation will obtain a conflicting message of the IP address. 

Presentation of Network Topology

Network topology can be identified as the alignment (which is logical and physical) of nodes and links within a network. Generally, nodes involve tools, for example, routers, software, and switches, with the attributes of routers and switches. Network topology presents the alignment of channels and the comparative address of traffic flows (Gu et al. 2019). Executives can utilize the diagrams of network topology for evaluating the positioning (in the best way) for every single node as well as the distinguished way for traffic flow. A corporation can locate (in a simple way) fix faulty problems with a planned-out and well-presented network topology, developing its efficiency of data transfer.

Preferable topology implementation

There are a total number of 6 network topology are available that need to be considered and they are as follows:

  • Bus Topology: The benefits are: a) Easy for utilizing as well as installing, b) Cost-effective for implementation. The drawbacks are a) The efficiency becomes less when the number of nodes increases, thus arising the reduction of the signal strength, b) traffic and congestion frequently happen within the bus as it is the sole source of interaction.
  • Ring topology: The benefits are: a) Less cabling is needed, b) Minimal chance in the collision of data. The drawbacks are a) The overall network fails if a single node breaks down, b) Harder for reconfiguration (Momennejad, 2022).
  • Star topology: The benefits are: a) Simple for troubleshooting, b) firm fault tolerance because of consolidated control over nodes. The drawbacks are a) overall network fails after the breakdown of the central device, b) Restricted number of devices within the channel.
  • Meat topology: The benefit is: No traffic or obstruction issues on the networks. The drawback is: Complications for implementation and requires wide storage for installation of the network.
  • Tree topology: The benefit is: It has a wide distance of channel coverage. The drawback is: Hub cabling is needed for implementation.
  • Hybrid topology: It can manage a wide capacity of nodes, and the drawback is: that it has a complicated design.

As for the recommendation, in this case, the Star Topology will be suitable and the reason behind this is that it is very simple for controlling from a console (central) as the software programming of management only requires interaction with the switch for procuring the overall features of traffic management.

Considerable networking component

As for the star topology, it requires the most generally utilized configuration of the network. Within this topology, nodes will be linked with central equipment like a fulcrum or switch with the aid of optical fibre, coaxial cable, or pair cable (twisted). The layout of nodes within this topology will be conducted in a way that the focal tool takes measures as a server and the tools (peripheral) are managed as clients (Sujatmiko et al. 2019). The central tool will be in control of data transmission over the whole network and will conduct its measures effectively.

Justification of IPV4 Network

According to this scenario, it can be presented that, the most suitable IPV$ private network will be Class A. This type of IPV4 network can be identified with a wide number of total hosts. This type of class will permit a total number of 126 networks for the users with the use of "the first octet" for the channel ID. The main reason for using this class A Ip address, in this case, is that it is preferable for large networks. As the Capsid analytics and its genome research will contain the use of both ON-prem and cloud storage then the utilization of networking will be more. This type of IPV4 network can bear the requirement of more than 10 million hosts.

Presentation of subnetting

A subnet can be presented as a network within a network and it builds up channels in an efficient manner. Via subnetting, the traffic of the network can conduct transportation of a shorter length without going through routers (that are unnecessary) for reaching its terminus. As for its importance then it can be explained that, within a Class A network, a large number of linked devices are represented and it could consume a great deal of time for the information for searching the correct tool (Sujatmiko et al. 2020). However, for that cause, subnetting is necessary, as it can decrease the possibilities of the IP address for utilization under a scale of tools.

Considerable subnetting strategy

As for the suitable subnetting configuration, the subnet mask will be effectively recommended in this case as it is suitable for Class A networks. The reason behind this is that this subnet mask will utilize the Ip addresses in a way with which it will not misuse any Ip address at the time when it will be implemented to a network connection (point to point). However, to find out the authenticated address of a subnet of class A subnet mask a subtraction needs to be done for the subnet mask with 256, therefore the formula will be 256 - the value of the subnet address.

Cisco packet tracer

As per the above picture the considerable “cisco packet tracer" has been built up as per the class A subnet mask of 255. In this case, two switches have been utilized in which, switch 0 has been connected with a static desktop and a dynamic laptop. On the other hand, switch 0 has been linked with 3 dissimilar servers including DNS. HTTP and DHCP. This indicates a multi-user system that will permit more than one user to link with the suitable networking topology over a computer network (Gwangwava and Mubvirwi, 2021).


This report has presented a brief outline of the analytics of capsid and it has brought up both the ON-prem and cloud computing access over capsid analytics. First of all, in this report, a firm comparison has been established between the approaches of On-prem and cloud computing. This has been done by presenting both of their characteristics, considerable advantages and also drawbacks. This indicates the effectiveness of both of the approaches for this analytics. Moreover, the necessary software and hardware requirements for On-prem have been presented to show the necessary equipment that needs to be implemented to run the analytics. This has highlighted the significance of its gene therapy. However, when this report comes to the presentation of the cloud, besides benefits, characteristics and drawbacks, this report successfully has brought up every single deployment model of cloud computing which involves 3 types. Moreover, the 3 types f service models of cloud computing have been analyzed in this scenario. The proposal section of this report has brought up three different scenarios, in which one has explained the preferable option of On-prem for the capsid analytics. This recommendation has been conducted regarding the security of genome data. Considerable software, as well as hardware requirements, have been presented also networking which are suitable for data security. As for this scenario, the justification of Microsoft .NET Framework 4.7.2 has been given. 

The second scenario has been built up with the suitable cloud computing implementation regarding capsid. This recommendation has brought up the utilization of software programming like Microsoft Azure, Google genomics and others. The last scenario has been presented on the basis of the consideration of a hybrid version of both On-prem and cloud computing. The explanation of this version has been presented as the most suited for the security concerns regarding capsid research as this version holds both access to cloud storage and local storage. Moreover, in the networking solution section, a recommended strategy has been implanted within this report which explained the preferable connectivity measures within every workstation. In this case, the explanation of the utilization of the DHCP server has been presented. This report includes an explanation of networking topology following the suitable one for the large networking connection for capsid analytical function. A presentation of a private IPV4 network has been done to present the considerable one for this networking activity, which is Class A. The presentation regarding subnetting and its significance has brought up the suitable subnetting strategy which can be utilized in this scenario. 

Reference List


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