Cloud computing

when we discuss or consider cloud computing we get  to know its numerous advantages in the field of computing mainly being scalability , useability , green computing and resource sharing . But my reading of on  aspect of cloud computing have shown me that its still a technology which still needs a a lot of consideration before it becomes a real trustworthy source of computing .
I say this because the disadvantages which are encountered with clouding are the reasons of it not being accepted by users on a bigger scale some of them being privacy and security , data allocation , architectural flaws , DDos and many other flaws . These kinds of led downs in cloud technology have earned it an insecure repute among users . Of Corse the work and healthy research is being done to overcome such challenges by organizations like NIST , IBM,IEEE  e.t.c to make it secure and effective to some extent possible . But my personal opinion of cloud computing id that its still too early for this immature technology to be out there for application . There is always room  for improvement so is the case with cloud computing . I am hopeful  that research work put forward to overcome these defects will be overcame soon and people would feel as reliable of cloud computing as they feel of there desktop computing .

Cloud Computing (A general Idea)

With the advent internet in the 1990s to the present day facilities of ubiquitous computing, the internet has changed the computing world in a drastic way. It has travelled from the concept of parallel computing to distribute computing to grid computing and recently to cloud computing. Although the idea of cloud computing has been around for quite some time, it is an emerging field of computer science. Cloud computing can be defined as a computing environment where computing needs by one party can be outsourced to another party and when need be arise to use the computing power or resources like database or emails, they can access them via internet. Cloud computing is a recent trend in IT that moves computing and data away from desktop and portable PCs into large data centres. The main advantage of cloud computing is that customers do not have to pay for infrastructure, its installation, required man power to handle such infrastructure and maintenance. In this paper we will discuss what makes all this possible, what is the architectural design of cloud computing and its applications.

Cloud Data Security

The cloud computing is a new computing model which comes from grid computing, distributed computing, parallel computing, virtualization technology, utility computing and other computer technologies and it has more advantage characters such as large scale computation and data storage, virtualization, high expansibility, high reliability and low price service. The security problem of cloud computing is very important and it can prevent the rapid development of cloud computing. This paper introduces some cloud computing systems and analyses cloud computing security problem and its strategy according to the cloud computing concepts and characters. The data privacy and service availability in cloud computing are the key security problem. Single security method cannot solve the cloud computing security problem and many traditional and new technologies and strategies must be used together for protecting the total cloud computing system.

Few proposed techniques for data safety are:

1. Data Encryption:

                Data can be encrypted before storing in cloud storage and then again decrypted while retrieving but if the data is huge this method proves to be very slow and time consuming

2. Customer Right:

Customers should have the right of the supervision and audit of cloud computing services in order to fully ensure the security of customer data
3. Virus Protection:

The communication of worms, virus and Trojan in cloud computing platform within the network of internal and external must be controlled. Malicious programs must be isolated promptly. Damage to the system must be repaired immediately. 

Computation Involve in Quantum Computing

When we talk about classical computers and computing we also talk about bits, logic gates, different registers, integrated circuits, microprocessors and computational algorithm. The same is in Quantum computing where Quantum Bit, Quantum Gates, Quantum Registers, Quantum Circuits, Quantum Bit Simulators and Quantum Algorithms are present.

When it comes to quantum computing it is said that “a process that incorporates interacting physical systems that represent qubits and quantum gates.” The Qubit is described as a vector in a two dimensional Hilbert space that hold quantum information and Quantum Register is comprises of number of qubit as a vector in multidimensional Hilbert space. Quantum gates are Hilbert space operators that rotate the qubit or quantum register vectors to change their state. Quantum Computer Simulator based on the circuit model of quantum computation. In this model quantum computations and quantum algorithms are represented by circuits, which comprise quantum gates and quantum registers.

Quantum computations are modeled and described using a circuit model. In the circuit model of quantum computation the input is the initial state of the qubits that form a quantum register and the computation is broken down in successive steps in which quantum gates act on the state of the quantum register.  The output of the circuit, i.e. the result of the computation, is the probability of measuring each one of the possible quantum register basis states and the phase of each state at each computation step. So, a sequence of computation steps is executed and at the end the final state of the quantum register, which is the computation result, is measured. 

From Classical to Quantum Computing

With the invention of the computers, it was possible to do information processing outside the brains of the humans. The architecture of computers has seen a major face-lift by undergoing a transition from vacuum tubes, transistors to today’s ultra-fast supercomputers. This has resulted in smaller faster and cost-effective computing machines. Thousands of logic gates and other digital circuits are squeezed onto the surface of a small silicon chip.

The size of microchip components will be on the scale of molecules and atoms such that quantum physical effects will dominate, hence irrevocably require effective means of quantum computation. It is known that quantum computing based on quantum physics can simulate classical computing.

The advancement in technology has now led to the design of a radically new computer architecture based on the quantum properties of an atom. This has led to the consideration of a non-Boolean approach toward computing based on the complex states of quantum matter. The advantages obtained by considering the computations at the atom level are much more than the contemporaries.

Quantum computing is a potential solution to this problem. This paradigm of computing seeks to directly exploit quantum mechanical phenomena to perform calculations or in some way boost computational efficiency. Some problems can theoretically be solved on a quantum computer exponentially faster than on a classical computer because it supports parallelism unlike classical computer. The concept of parallelism is the key major difference between Quantum computing and classical computing.

There is a quantum analogue to the bit, the qubit. The qubit is represented mathematically as a two-dimensional vector. Unlike its classical counterpart, the qubit is not limited to only two values. In fact, it can occupy an infinity of states between “0” and “1”. The quantum “0” and “1” states are represented as vector and the state of any qubit will be some superposition of these two basis vectors. State after superposition will be between 0 and 1.
The new architecture based on the quantum properties of atom will be smaller in size and much faster in speed.