Computer Virtualization and the Cloud (Computer Architecture Book 10)

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How Compute Virtualization Is Implemented

Residential Summer Program Digital and Social Media. New tools and technologies. Introduction to IT Infrastruture Landscape. Cloud Computing Architecture and Deployment Models. Distributed and Cloud Computing. ET Compiler Design Laboratory. Introduction to IT Infrastructure and Lanscape.

How Compute Virtualization Is Implemented

Computer Organization and Architecture. Computational Techniques Phd course work. Introduction to Computing Lab. ET Compiler Design Lab. Programming and Datastructure Lab. Introduction to Computing Laboratory. BCA Major Project. Computer Architecture and Micro programming Lab. While you may have only one hard drive, your system sees it as two, three or more different and separate segments.

Similarly, this technology has been used for a long time. It started as the ability to run multiple operating systems on one hardware set and now it a vital part of testing and cloud-based computing.

It describes the delivery of shared computing resources, SaaS and on-demand services through the Internet. Most of the confusion occurs because virtualization and cloud computing work together to provide different types of services, as is the case with private clouds. The cloud often includes virtualization products as a part of their service package.

What Is Compute Virtualization?

The difference is that a true cloud provides the self-service feature, elasticity, automated management, scalability and pay-as-you-go service that is not inherent to the technology. A technology called the Virtual Machine Monitor — also called virtual manager— encapsulates the very basics of virtualization in cloud computing. It is used to separate the physical hardware from its emulated parts.

This allows for greater flexibility, control and isolation by removing the dependency on a given hardware platform. By talking to the hardware directly, it virtualizes the hardware platform that makes it available to be used by virtual machines. Most often, you can find it being used in software testing and laboratory research. Here are six methodologies to look at when talking about virtualization techniques in cloud computing: Network virtualization in cloud computing is a method of combining the available resources in a network by splitting up the available bandwidth into different channels, each being separate and distinguished.

They can be either assigned to a particular server or device or stay unassigned completely — all in real time.

The idea is that the technology disguises the true complexity of the network by separating it into parts that are easy to manage, much like your segmented hard drive makes it easier for you to manage files. Using this technique gives the user an ability to pool the hardware storage space from several interconnected storage devices into a simulated single storage device that is managed from one single command console.

This storage technique is often used in storage area networks. Storage manipulation in the cloud is mostly used for backup, archiving, and recovering of data by hiding the real and physical complex storage architecture. Administrators can implement it with software applications or by employing hardware and software hybrid appliances. This technique is the masking of server resources.

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It simulates physical servers by changing their identity, numbers, processors and operating systems. This spares the user from continuously managing complex server resources. These controls are put in place to safeguard any weaknesses in the system and reduce the effect of an attack. While there are many types of controls behind a cloud security architecture, they can usually be found in one of the following categories: It is generally recommended that information security controls be selected and implemented according and in proportion to the risks, typically by assessing the threats, vulnerabilities and impacts.

Cloud security concerns can be grouped in various ways; Gartner named seven [9] while the Cloud Security Alliance identified twelve areas of concern.

Scanning could from outside and inside using free or commercial products is very important because without a hardened environment your service is considered as a soft target. Virtual servers should be hardened like a physical server against data leakage , malware, and exploited vulnerabilities.

Scanning and penetration testing from inside or outside the cloud require to be authorized by the cloud provider. Since the cloud is a shared environment with other tenants following penetration testing rules of engagement step-by-step is a mandatory requirement. Violation of acceptable use policy which can lead to termination of the service.

Cloud computing security

A number of security threats are associated with cloud data services: The following security requirements limit the threats. Data confidentiality is the property that data contents are not made available or disclosed to illegal users. Outsourced data is stored in a cloud and out of the owners' direct control. Only authorized users can access the sensitive data while others, including CSPs, should not gain any information of the data.

Meanwhile, data owners expect to fully utilize cloud data services, e. Access controllability means that a data owner can perform the selective restriction of access to her or his data outsourced to cloud.

Legal users can be authorized by the owner to access the data, while others can not access it without permissions. Further, it is desirable to enforce fine-grained access control to the outsourced data, i. The access authorization must be controlled only by the owner in untrusted cloud environments. Data integrity demands maintaining and assuring the accuracy and completeness of data. A data owner always expects that her or his data in a cloud can be stored correctly and trustworthily. It means that the data should not be illegally tampered, improperly modified, deliberately deleted, or maliciously fabricated.

If any undesirable operations corrupt or delete the data, the owner should be able to detect the corruption or loss. Further, when a portion of the outsourced data is corrupted or lost, it can still be retrieved by the data users.

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