Differentiate public cloud from private cloud.

-

 Cloud Computing

  Cloud Computing is the delivery of on-demand IT resources (such as the Internet, database, Server, Big-Data, etc ) implemented on the internet to process, manage and store data. In cloud computing, we can pay for only those resources which we have used.

Benefits of Cloud Computing:

  • Data backup and Storage of data
  • Powerful  server capabilities
  • Incremental  Productivity
  • Cost-effective and Time-saving
  • Agility (Access to a broad range of technology)
  • Elasticity


 The differentiating public cloud from the private cloud.

Public Cloud: The cloud services which are exposed to the public and can be used by anyone are called public clouds. The public cloud is owned, managed, and operated by businesses, universities, and government organizations. In the public cloud, data centers are located anywhere on the internet.

 Private Cloud: The cloud services which are private in the internal network within the organizations and selected users instead of the general public is called a private cloud. It provides a high level of security and privacy to data through firewalls. In private clouds, data centers are located inside the organization's network.

OR,

 Public Cloud

  • Cloud Computing infrastructure is shared with the public by service providers over the internet. It supports multiple customers i.e, enterprises.
  • Multi-Tenancy i.e, Data of many enterprises are stored in a shared environment but are isolated. Data is shared as per rule, permission, and security.
  • The cloud service provider provides all the possible services and hardware as the user base is the world. Different people and organizations may need different services and hardware. Services provided must be versatile. 
  • It is hosted at the Service Provider site.
  • It is connected to the public internet.
  • Scalability is very high, and reliability is moderate. 
  • The cloud service provider manages the cloud and customers use them.
  • It is cheaper than the private cloud.
  • Security matters and is dependent on the service provider.
  • Performance is low to medium.
  • It has shared servers.
  • Example: Amazon web service (AWS) and Google AppEngine etc.


Private Cloud

  • Cloud Computing infrastructure is shared with private organizations by service providers over the internet. It supports one enterprise.
  • Single Tenancy i.e, Data of a single enterprise is stored.
  • Specific services and hardware as per the need of the enterprise are available in a private cloud.
  • It is hosted at the Service Provider site or enterprise.
  • It only supports connectivity over the private network.
  • Scalability is limited, and reliability is very high.
  • Managed and used by a single enterprise.
  • It is costlier than the public cloud.
  • It gives a high class of security.
  • Performance is high.
  • It has dedicated servers.
  • Example: Microsoft KVM, HP, Red Hat & VMWare etc.



Comments

Post a Comment

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

-
Image
a) A Snowflake Shema is shown in figure below: b) The specific OLAP operations to be performed: 1. Roll-up on course from course_id to department. 2. Roll-up on a student from student_id to university. 3. Dice on course, student with department ="CS" and university = "biguniversity" 4. Drill-down on a student from the university to student_name. c) N = 4 dimensions The cube will contain 54 = 625 cuboids.
Read more

Describe how cloud computing technology can be applied to support remote ECG monitoring.

-
Image
  Healthcare: ECG (Electrocardiogram) Analysis in cloud computing Healthcare is a field, subject, sector, or territory in which information technology has several uses. These apps are being used to aid businesses in supporting scientists in developing disease prevention solutions. Cloud computing has emerged as an appealing alternative for constructing health monitoring systems as a result of the development of the Internet or to put it another way, as a result of the availability of the internet. The ECG machine, for example, is a health monitoring device that measures the human body's heartbeat and prints the results on graph paper. The electrocardiogram (ECG) measures the electrical activity of the heart's Cardium. A waveform is created as a result of this action, which is repeated throughout time and symbolizes the heartbeat.  The analysis of the shape is used to identify arrhythmias, and it is the most common way of detecting heart diseases. Here the meaning of arrhythmias
Read more

Explain market-Oriented Cloud computing architecture.

-
Image
  Market Oriented Cloud Computing (Mocc) As customers rely on Cloud providers to cover all of their computing needs, they will expect certain Qe from their providers to fulfill their objectives and continue their operations. Cloud providers must examine and satisfy the various QoS standards of each unique consumer as stipulated in unique SLAs. To do this, cloud providers cannot continue to install traditional system-centric resource management architectures that do not give incentives for them to share their resources while still treating all service requests as equal insignificance. Instead, market-oriented resource management is required to maintain the supply and demand for Cloud resources at market equilibrium, provide feedback in the form of economic incentives for both Cloud consumers and providers, and promote QoS-based resource allocation mechanisms that differentiate service requests based on their utility. The diagram depicts a high-level architecture for enabling market-orie
Read more