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Mobile Cloud Computing Architecture

One of the essential parts of everyday life is mobile phones. The communication tools do not have any limitations and are easy to access from anywhere. However, these handsets might suffer from bandwidth, battery life, security, and communications issues due to limited storage. Yet, mobile phones are one of the best devices to use. Plus, they have more in lesser resources which makes them a preferable choice for all. 

Mobile cloud computing is experiencing rapid progress and has become an impactful trend in the growth of the IT and commercial industries. Cloud computing ought to be the next-gen computing infrastructure. Plus, MCC delivers its users benefits by permitting them to utilize their infrastructure, platforms, and software programs at a low price.

Also, mobile cloud computing is not bound and open to flexible resources to add advantages to the services they provide to their end-users. It permits mobile applications to be revised and delivered with minimal effort for use. Mobile apps with Cloud computing features enjoy the benefits of mobile cloud computing (MCC). The integration of the cloud into mobile apps has brought many benefits for users. And it has helped in moving a step ahead in the technological world. 

What do you mean by Mobile Cloud Computing?

Mobile Cloud Computing is a new model for mobile apps where the data processing and storage are shifted from these handsets to centralized computing platforms in clouds. Users can access these centralized applications with the help of wireless connections or web browsers.

Mobile phone users have the privilege of experiencing top-end services from the applications available in the specific app stores. Also, they run on mediums or remote servers with the help of wireless networks. Plus, Android and iOS have particular apps that boost the efficiency and features of that handset. Cloud is taking benefit from this and providing services by making amendments in apps.

In other words, MCC is a unique combination of mobile web and cloud computing. It is one of the most beneficial tools that help mobile users utilize apps and services via the net. Plus, mobile devices do not require powerful configurations because every complex module is processed in the cloud afterward.

Mobile Cloud Computing Architecture

Mobile Cloud Computing Architecture assists mobile users in using data processing and storage facilities on a cloud. After understanding the concept of Mobile Cloud Computing, studying the general architecture of MCC becomes easy. In this module, mobile devices are linked to mobile networks with the help of base stations, for example, satellites. It further helps in establishing and controlling the wireless connections and functional edges amid the networks and mobile phones. 

Mobile users have to send their location and ID to the central processors linked to servers that provide mobile network facilities. Over here, the information transmitted by mobile users can be a process of authentication, agreement, and accounting based on the quantity of data they want to store. Further, the system forwards these subscribers’ appeals to a cloud via the net. 

Now in the cloud, controllers process the requests to deliver mobile users with the desirable cloud services. Generation of these services takes place with the help of applications, web, and database networks. However, details of architecture can vary according to the context.

Commonly, cloud computing is a vast network system working on several servers in data centers. And these cloud services are usually dependent on some vital layers of concepts. The crucial layers of Mobile Cloud Computing Architecture are:

  • Data centers layer 

It is a crucial layer that helps in providing hardware amenities and infrastructure for clouds. In this layer, several servers are inter-linked with high-speed networks to deliver services for potential customers. Data centers are commonly in remote places that have a high power supply and a low disaster risk.

  • Infrastructure as a Service (IaaS) 

IaaS is at the topmost of the data center layer. It enables in providing storage, servers, hardware, and better networking. Clients usually pay for what they use. Therefore, the cloud permits its clients can save a lot of finance as they only pay for what they are utilizing. Infrastructure is expandable and reducible as per requirement. 

  • Platform as a Service (PaaS) 

PaaS offers a modern unified environment for forming, testing, and positioning custom applications. A famous example of it is Google App Engine.

  • Software as a Service (SaaS) 

SaaS assists a software delivery with particular requirements. Users can utilize an application and data remotely with the net and only pay for it. Salesforce is one of the best in delivering this model. 

Advantages of Mobile Cloud Computing 

  • Longer battery life 
  • Improves storage capacity 
  • You can access your data via the net from anywhere 
  • Better reliability 
  • The process is cost-efficient 
  • You reduce chances of misplacing valuable data 
  • High data security 

The concept of Mobile Cloud Computing Architecture is improving and inviting new modern twists to keep users satisfied with services. Plus, storing your data on the cloud is not just convenient but cost-efficient and easy to perform.

Authentication in Cloud Computing

The need for Authentication in Cloud Computing is to recognize the identity of individuals. The mechanism involves linking an incoming proposal with a set of credentials. Further, verification of credentials with those present on a database containing authentic information takes place. This information is available on a local operating system or verification server. 

The verification process usually runs at the beginning of the system before permitting the user to access and use the codes. Different programs have different practices that involve credential patterns to access any software. The credential is usually in the form of a password. Verification of data happens by the following categories: 

– Information a buyer knows 

– Information relatable to a buyers identity 

– Information a buyer has 

What is the Authentication in Cloud Computing?

The authentication process can be explained in two phases – documentation and proper authentication. The documentation phase provides an identity of the user to the security system for identification. This identity is an official ID that describes the credentials. The security system looks for abstract information that it has and finds specific information for which the user is applying. After completing this, the identification procedure is complete. 

Facts that users claim in this process might not always be authentic. An authentic user is recognizable with the help of an abstract user identifier in the security system. And further rights and permissions are given to the user. The user then provides proof to prove their identity to the security system. The procedure of determining user identity by verifying user-provided proof is called Authentication in Cloud Computing. And the evidence given by the user in this process of authentication is known as a credential.

Ways of Authentication 

  • Verification by password and username 

The vital factor in authentication is to guard data against getting into unauthorized hands. It helps ensure that servers decline visit requests from unidentified people and accept the access of the verified users. In this verification process, the user must enter the correct username and password to log in to the security system and then utilize the data in the cloud. 

  • Trusted Computing Group (TCG) 

The TCG helps measure a set of properties like saving and reporting software and hardware generality by TPM and MTM modules. MTM is a safety factor that works well in mobile phones, and a TPM module is best suitable for PCs. However, in higher protective measures, an MTM can be executed as a little renewed TPM. 

  • Multi-factor authentication (MFA) 

The old authentication process via password may not sufficiently provide data security against the several modern attacks occurring in a cloud computing environment today. A safer process is multi-factor authentication. This method confirms a username/password and also asks for a second verification via biometric authentication. The feasibility of biometric identification is partial due to deployment complications and excessive expenditure. 

  • Single sign-on (SSO) 

SSO is an identity managing system where users are recognized in a single authentication and can then control other resources without repetitive authentication. In other words, verifying information is performed by using diverse programs in this technique. SSO is a procedure by which you can access self-governing multiple software systems. A user can log in and use all systems with no need to log in every time. 

  • Public Key Infrastructure (PKI) 

Traditional authentication systems focus on a hidden key mainly, assisting older asymmetrical encryption algorithms, like RSA. It utilizes private keys to verify a user’s identity. PKI has approvals of forming security protocols like SSL/TSL and mainly uses SET to deliver verification. The success of PKI depends on the control of admission to private keys like other types of encryption security systems. 

  • Biometric verification  

Biometric authentication helps in three points of data security, first authentication, then identification, and last non-repudiation. The literal meaning of biometrics is life measuring. This system is focusing on verifying of physical or behavioral traits of an individual. Plus, it is one of the most impactful verification mechanisms that recognize what we are and what we know. There are two types of Biometric authentication:

  1. Physical biometrics: It is a type of verification that recognizes a user with the help of physical traits. A chief drawback of this biometric system occurs when many individuals require authentication at the same time. It reduces the system speed and efficiency. There are many physical biometric verification methods like hand recognition, fingerprint identification, palm print, voice, face, retinal, and iris scan. Effective use of these methods occurs in Cloud Computing. 
  2. Behavioral biometrics: It helps in identifying the users depending on their position, profile, and similar factors. The two primary kinds of behavioral biometrics are keystroke examination and signature verification.

Authentication in Cloud Computing is crucial and helps keep your data completely safe. It adds value to a system and improves its function. Today many firms prefer authentication and verification to keep their sensitive data protected.

Cloud Computing in E-Commerce

As we all know, Cloud computing is a style of computer science that helps in measuring the capabilities of any business using internet technologies. The number of benefits this industry provides to users makes it one of the most successful features in the future of global technology. Today this computing system is capturing all businesses and firms irrespective of their sales type. Likewise, Cloud computing in E-commerce is gaining immense popularity because of its enormous value. E-commerce businesses are acknowledging cloud computing to improve their productivity, data safety, and work efficiently.

The giants of the e-commerce industry today are effectively working on their cloud computing projects for betterment. According to the current situation, cloud computing will surely take over the market quickly in the coming years. It is also evident that computing is becoming gradually crucial for e-commerce companies to achieve their business goals. Plus, they can attain customer satisfaction and unparalleled growth for their services with its help. Cloud computing is changing the face of E-commerce and making progress for this industry. 

How is Cloud computing impacting E-commerce?

Online companies constantly encounter changes and need to meet the demands of these new trends. Here cloud computing plays a vital role in helping these E-commerce companies align with the changes. Making amendments in the solutions and services is no more difficult with the help of computing. Cloud provides e-commerce giants with measurable plans and keeps them in sync with the market. Promising powerful results, cloud computing is now the ultimate solution for all E-commerce industry problems. Also, firms are using cloud applications because of their ability to form deeper bonds with customers and generate sales to increase revenues.

Another factor that influences the growth of a business or enterprise is speed. Faster services invite higher conversions and help in alluring more customers for businesses. It leads to expand your client base and create more trust. Nowadays, no individual likes to wait, and so if your web page takes a long time to load, you eventually lose web traffic. Each person loves quick and rapid responses, may it be timely deliveries and payment processing gateways. The primary reason for slow functioning websites is heavy traffic. And here, cloud computing provides a perfect solution for this problem. It gives your website longer bandwidth and better storage. Plus, it also works on the computational ability for better responses.

Yet another impact of Cloud computing in E-commerce would be cost-efficiency. When a company uses the cloud, it saves tons of money invested in hardware or software amenities. Cloud computing is the best way to cut this expense and boost overall growth. Giant E-commerce industries like Alibaba and Amazon recognize the worthiness of cloud computing and are thereby on the top of the table. Apart from these, IBM, Google, Microsoft, and other big names accept and acknowledge cloud computing facilities for their business. 

Advantages of Cloud computing in E-commerce

  • Measure Versatility  

Cloud features permit you to attain an online presence with utmost ease. The scalability of this service complements the requirements of the retail sector perfectly. Investing in more servers or safeguarding funds to expand your IT sector will limit your growth.

And so, cloud computing is not just a still investment but helps in profiting the future of your business by yielding revenues and better decisions.

  • Improves speed of accessing the E-commerce Site

Users will leave your website or page if it takes more than three seconds to load. Moreover, if the customers are not glad about the functioning of your website, they will most likely not use it again.

Speed is a crucial factor for any E-commerce business to thrive. However, if your E-commerce firm has the support of good quality cloud services, you will not have to compromise on speed. Plus, you will benefit from high-quality services that other sites do not offer. 

  • Stable Websites

Whenever you introduce a new ad or campaign on your E-commerce website, it tends to attract traffic. So, cloud computing provides exceptional stability and improves performance. It prepares your website for the hike in traffic.

  • Better Assurance  

The primary factor of any business is trust. Customers believe that you are describing the product adequately for them. Plus, they also trust you with the payment details and information. 

Cloud computing promises certified hosting and better GDPR security. Furthermore, the cloud provides superior security measures to shield you from DDoS attacks, which can make the customer, lose their trust in the E-commerce website. 

  • Affordability  

If you are new in the E-commerce industry, then cloud computing is the best to grow and save valuable money. With the cloud, you only pay for what you use and need. These savings are usable in better places to expand your overall business. 

Cloud computing in E-commerce helps in expanding, securing, and serving your online business in several ways. It is one of the fastest technological features to create a reliable and cost-efficient online presence.

Analysis of Big Data and Business Intelligence

Big Data is a common word in the technological world, and its benefits data are not unknown to users. It helps in improving storing capacities and leads to better organization of vast data. However, many individuals consider Big Data and Business Intelligence to be the same. Yet, there is a significant difference between the two that each individual must acknowledge. Grasping this helps in benefitting organizations and using the resources efficiently. 

This Analysis of Big data and business intelligence will help you grab a better knowledge about the terms and implement them.

What is Big Data?

Big data is information that is very vast and cannot organize well by traditional means. It requires tools and electronic software to ease the process and align data systematically. The three points below help define Big Data easily:

  •  Volume

It comprises the amount/quantity of data that a business produces. It simply means enormous data, and thus, it has the name Big Data. This data is too vast to be handled by any traditional means. 

  • Variety

It refers to the collection and variation of the data. Vast data usually comes from various sources and has plenty of irregularities. Each one of them falls into different categories and needs to be manageable for further use. 

  • Velocity

Velocity determines the speed at which the data flows from one network to the other. This flow of Big Data is usually massive and continuous.

Big Data plays a vital role in making advancements, better decisions, smooth processes, customer engagement, and profiting your organizations. Also, it helps in eliminating any ill practices or operations and making amendments for better results. You will explore market trends, buying patterns, and beneficial insights for your business with its help. It improves decision-making when you aim to target specific markets/groups. However, analyze this data well so that it does not remain mere information. 

Implementation of Big data

  • Retail

It helps retailers understand how to market to their customers and handle transactions. Plus, it aids in better strategic planning for improving revenues and makes relevant interpretations. 

  • Manufacturing companies 

In this sector, it helps in making the most out of products and minimizing waste. It results in faster decision-making and analyzing progress. 

  • Healthcare  

Big data does not always result in profits and revenues but helps in better work efficiency. It helps in discovering insights to deliver better patient care and improve medical facilities.

  • Government

It helps in better managing and reduces risks in the government sector. However, the government must maintain transparency while using people’s data.

  • Education

Big data helps notice the progress of students and analyze pupils that require special attention to do better. It helps in better assessment and supports staff work.

  • Courier services 

These companies have vast data that needs to be analyzed daily. It helps in making efficient deliveries, saving time and also money. 

What is Business Intelligence?

Big Data specifies saving and collecting, and Business Intelligence (BI) determines what you do with this Big Data. With the help of technology, Business Intelligence helps in extracting useful information from vast data. It includes a range of tools, procedures, and applications that permit collecting information from relevant sources. Later this data is well-organized and analyzed to yield better results. 

Significance of Business Intelligence 

Business intelligence helps companies make better future decisions by representing data as per their business framework. Analysts can use BI to deliver the best performance and lay benchmarks to help the organization function more efficiently. Plus, it becomes simpler to locate market trends and thereby enhance revenue. 

Ways by which Business Intelligence helps companies:

  • Analyze ways to improve profits
  • Note customer behavior
  • Understand your position in the market
  • Track progress
  • Improve operations
  • Foresee success
  • Locate trends
  • Analyze issues 

Procedures Business Intelligence follows

In the last few years, business intelligence has come up with new procedures that help in attaining better profits. These processes include:

  • Effectively using data to uncover trends 
  • Sharing reports with stakeholders to improve performance
  • Track your performance and locate your success rate
  • Use data to seek issues or problems 
  • Analyzing trends and their significant reason for the occurrence 
  • Create visual representations to simply and understand data

Benefits of Business Intelligence and Big Data 

Analysis of Big data and Business Intelligence creates value for organizations that helps analysts refine information into productive goals.    

Business intelligence helps in collecting and using new information to drive opportunities to enhance business efficiency. By using these tools, companies can locate significant insights and make effective workflow by scheduling adequately.

And, big data delivers marvels for your organization. Analysts and enterprises use it to predict cost reductions, quicker timelines, irregularities, better profits, and risks. Several companies are making profits and advancements in their system with the help of this technique. 

Implementing Big Data and Business Intelligence can reveal insights and restore the functioning of your firm. The Analysis of Big data and business intelligence nurtures your enterprise to function better and expand faster. 

Big Data Analytics in Healthcare

Big data analytics in healthcare is gaining popularity because of the benefits it offers to its users. It assists in obtaining tools for the gathering, organization, study, and integration of enormous amounts of various data generated in healthcare systems.

The evolving field of Big Data analytics is playing a crucial role in the sector of healthcare with the increasing practices and techniques. Big Data analytics helps in discovering new opportunities and expand knowledge. It helps in making better business movements, faster processes, increases revenues and improves client satisfaction. 

This data is essential and extremely useful for diagnosis and helps analyze various problems, comprising indications, medicines, and doses. Without this knowledge, it would be much more difficult for healthcare workers to come to adequate conclusions.

The vitality of Big Data Analytics in Healthcare 

The idea of big data analytics is to use analytical methods to build sense out of the large available data. A proper data entry for a patient includes everything ranging from electronic health data and prescriptions, notes by the physician, lab tests, policies, equipment outputs, and even posts.

Huge data like those are difficult to analyze in general, and so it is gaining popularity in this era. Thus, this is a must-have for each medical organization. It accommodates to manage and access their complicated data with ease.

To make advancements in medical facilities and improve performance, you need measurements and proper analysis of every part of the data. It helps in converting the data into productive actions to take future decisions. Professors, researchers, medical organizations, pharmacy companies, and healthcare stakeholders can use these insights as a leap for development.

Role of Big Data Analytics in the Healthcare Industry 

The role that data analytics play in medical is clear and understandable. It helps in eliminating direct problems and avoids wasting time.

If you need to improve quality, continue with research, conduct matters, or anything similar, you will need to monitor loads of data. Yet, just accessing this data won’t help you much. You will also need a proper structure and organize it well to analyze and derive conclusions. 

It is one of the chief reasons why it is very significant. With this technique, you can make sense of the past and create plans for bettering the organization and individuals.

Crucial Uses 

Experiencing these key benefits might not be an easy task. You will need to follow some steps to ensure that you are working in the right direction. 

Steps you need to follow:

  • Acquiring data: 

No matter what medium you use to collect data, it must be systematic and done adequately. Your information must be clear and understandable. 

  • Transfer of data: 

In this step, your data is checked and qualified to aid desirable results.

  • Work on insights: 

Work on these pieces of evidence to attain ideal goals. Plus, ensure your data analytics software is not bound and is flexible enough to cater to your future needs. Also, it must have a high level of security to prevent hacking and data leaks. You will be able to perform each solution that helps in acquiring your future goals. 

Benefits of using Big Data analytics

  • Better performance
  • Improved treatment and care
  • Delivery of right treatments for specific diseases
  • More personal and safe communication
  • Better access to your vital data 

Challenges that Big Data Analytics in Healthcare might face

  • Acquiring data is one of the main concerns for health organizations. Plus, the data must be clean and accurate to be efficient for use across various sectors and departments.
  • Patient data is usually kept in an easy-to-use centralized database nowadays. However, the main problem occurs when this data is essential for healthcare workers outside.
  • Data security is a chief concern for most healthcare workers. The constant hacking raises issues and violates the security of sensitive information. 
  • Healthcare workers need to be very careful while working on data that includes sensitive and private information. Data leaks can cost a lot to healthcare companies and raise unethical problems for the company. 

Data analytics offers many benefits. Yet, healthcare organizations need to ensure that their data is in safe hands. It is essential to give this data to relevant workers that can drive efficient and progressive results. A data analytics system is highly effective. All it requires are individuals that have correct knowledge of using it and can control functioning well.

In the coming years, this technology is going to be widely accepted. Also, representations of healthcare compensation are altering; practical usage and pay for success are becoming an ultimate motto. Profits are not a primary reason, but a healthcare organization must gain the capital, structure, and practices to use vast data. It may jeopardize losing huge profits and revenue sources.


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