Understanding Storage Virtualization: How It Works, Benefits, and Challenges

Storage virtualization is a modern storage management technique that combines all physical storage resources and presents them as a single unified system.

In modern organizations, where data is stored across multiple platforms, storage virtualization serves as a solution to bring it onto a single platform, allowing for easier access. This also helps organizations optimize their resources and reduce costs in the long run.

If you're curious about storage virtualization and how it works, this blog will help you understand. You can learn different techniques and the benefits of storage virtualization. Dive in!

What is Storage Virtualization in Cloud Computing? An Overview

Storage virtualization means combining physical storage resources from different cloud platforms and presenting them as a single, unified virtual storage pool. It creates a virtual layer between users and physical storage systems to improve storage management.

In cloud computing, storage virtualization provides benefits like improved data availability, cost reduction, and simplified data management.

As organizations start witnessing growth in data, it is necessary to manage data storage efficiently and securely. Storage virtualization offers a solution to handle your changing storage needs. If you want to know when to adopt this technique for your organization, check the following section.

When to Use Storage Virtualization?

Storage virtualization is suitable in situations where organizations need efficient, secure, scalable, and cost-effective storage management. 

Here are situations that need storage virtualization.

• Managing Large Volumes of Data

If your organization handles a huge amount of data, virtualization simplifies management by presenting all data as a single virtualized storage pool.

• Need for Scalability

Organizations witnessing rapid data growth or fluctuating storage needs can use storage virtualization to scale up or down easily.

• Cost Reduction

Organizations looking to optimize resource utilization can use storage virtualization to allocate only the necessary storage and reduce unnecessary infrastructure costs.

• Disaster Recovery

Companies that need reliable disaster recovery options can benefit from storage virtualization as it allows data replication and availability across different regions.

• Hybrid Cloud Strategy

If your organization wants to create a hybrid cloud infrastructure, storage virtualization allows smooth transitions of data between on-premises and cloud storage.

• Multi-cloud Strategy

Organizations using multiple cloud providers (e.g., Azure, AWS, Google Cloud) can use virtualization to combine their storage and simplify management.

Also Read: Google Cloud vs AWS: Difference Between Google Cloud & AWS

While storage virtualization has close similarities with server virtualization, they differ in the way data is organized. Check out their differences in the following section. 

What is the Difference Between Server and Storage Virtualization?

Server Virtualization allows multiple virtual machines (VMs) to run on a single physical machine. On the other hand, storage virtualization combines physical storage devices into a single, unified storage pool.

Here’s how they differ.

Also Read: What Is a Cloud Server? Definition, Types, and How They Work

Now that you’ve understood the concept of storage virtualization and how it varies from server virtualization, let’s explore its working.

How Does Storage Virtualization Work? Key Steps and Processes

The working of storage virtualization is based on combining physical storage infrastructure and presenting it as a unified system. It involves several key steps that optimize the use of storage resources and improve efficiency.

Here are the key steps and processes involved in storage virtualization in cloud computing.

1. The virtualization layer abstracts physical storage

• The first step is to create a virtualization layer that sits between the physical storage hardware (such as storage arrays) and the user.
• This virtualization layer uses software (in software-defined storage systems) or hardware controllers (in hardware-based systems) to manage and combine the physical devices. 
• It makes sure that users and systems interact with storage as a single unit without knowing where the data is physically located.

2. Logical volume manager (LVM) allocates virtual storage to different users

• A Logical Volume Manager (LVM) allows administrators to allocate and manage virtual storage from the pool of physical storage resources.
• LVM transfers physical storage (such as disks) into virtualized storage volumes, which can be resized, shifted, or allocated to specific applications or users dynamically.
• This process improves storage efficiency and flexibility because storage can be adjusted based on need.

3. Storage pools are created by combining multiple storage devices

• Multiple physical storage devices, such as hard drives or storage arrays, are combined to form storage pools. These pools represent the resources of all storage devices, which are then managed as a single entity.
• Storage pooling allows the system to combine the capacity of different storage devices, providing a larger resource that can be allocated as needed. 
• The pooling process improves storage performance by distributing data across devices and can improve safety by implementing features like data mirroring or RAID configurations. 
• It allows administrators to create larger storage volumes without worrying about the limitations of individual physical devices.

4. Data access is managed through a centralized interface

• Access is managed through a centralized interface that provides users and applications with seamless access to the storage resources.
• Through this interface, storage resources can be allocated, monitored, and managed easily. Users or applications can access the data without directly interacting with the physical storage devices.
•  This centralized management can also be used for the monitoring of storage performance, usage, and optimization.

Also Read: What is Virtualization in Cloud Computing? Types & Benefits

Managing data and controlling information between the host system and the storage is performed through in-band and out-of-band virtualization. Let’s explore their differences.

What is the Difference Between In-band and Out-of-band Virtualization?

Organizations use in-band and out-of-band techniques to manage storage infrastructure in a virtualized environment. Here’s how they differ.

Now that you’ve looked at the differences between in-band and out-of-band virtualization, let’s explore the different types of storage virtualization.

Types of Storage Virtualization

While storage virtualizations aim to combine multiple storage resources, there are different ways to achieve it. Here are the different types of data virtualizations in cloud computing that can help you manage data and storage resources.

1. Block Level

Block-level storage virtualization combines storage at the block level, where data is stored in fixed-size blocks. The software collects these blocks and presents them to the user or application as a single volume. 

This method is usually used in storage area networks (SAN) to present multiple physical storage devices as a single storage pool.

Example: IBM SVC allows companies to merge storage from multiple SAN devices (different brands and configurations) into a single pool.

2. File Level

This method combines storage at the file level. It allows data to be managed as files rather than raw blocks of data. It offers a more user-friendly interface compared to block-level storage.

The virtualization layer stores file system data in physical storage resources. The user or application interacts with virtual files, and the system is responsible for managing these files across physical devices.

Example: NetApp’s ONTAP provides file-level virtualization by allowing users to access and manage files from different storage arrays. 

3. Object Level

This method uses an object storage model where data is stored as objects instead of files or blocks. Each of these objects contains data, metadata, and an identifier that can be accessed and retrieved independently. 

This method is used in cloud storage environments and is ideal for managing unstructured data, such as videos, images, and large backups.

Example: A retailer like Netflix uses Amazon S3 to store massive amounts of unstructured data (text, image) as an object with unique identifiers.

4. Kernel-level virtualization

This method runs multiple virtual machines (VMs) on a single physical machine. The kernel of the operating system is responsible for managing the virtualized environment.

The operating system's kernel is modified to manage the virtualization layer, allowing it to create isolated environments (VMs) that share the same physical resources but appear independent. 

Kernel-level virtualization can provide more flexible and scalable storage solutions for VMs, allowing them to access virtualized storage resources seamlessly.

Example: Companies like Spotify use Docker containers for kernel-level virtualization.

H3: 5. Hypervisor Virtualization

Hypervisor-based virtualization uses a hypervisor to manage virtual machines (VMs) on a host system. The hypervisor combines the hardware resources and allocates them to the virtual machines. 

The hypervisor is located between the physical hardware and the virtual machines. It controls CPU allocation, memory, and storage in each VM. It can run either directly on the hardware (bare-metal hypervisor) or on top of an operating system (hosted hypervisor). 

Example: Large enterprises use VMware ESXi to run multiple virtual servers on a single physical server.

6. Hardware-assisted Virtualization

It uses special hardware features (such as Intel VT-x or AMD-V) to support virtualization directly. These hardware extensions improve performance by allowing the virtualization layer to operate more efficiently.

The CPU and other hardware components are provided virtualization extensions that allow virtual machines to run with minimal burden. These extensions allow the hypervisor to handle virtual resources more efficiently and reduce the impact on performance.

Example: Companies like Microsoft use Intel VT-x to run virtual machines efficiently on servers.

7. Para-virtualization

Para-virtualization modifies the guest operating system to be aware of the hypervisor. Unlike full virtualization, where the guest OS is not aware of the virtual environment, para-virtualized systems communicate with the hypervisor for improved performance.

It requires changes to the guest OS, but allows it to communicate with hypervisors to optimize resource allocation and reduce burden.

Example: Companies like Amazon Web Services (AWS) use para-virtualization for efficient VM management in the AWS cloud environment.

While there are different types of storage virtualization, you need specific techniques to implement them in your organization. Let’s check out these approaches in the following section.

Implementation Methods for Storage Virtualization: Techniques and Approaches

Method-based, host-based, and array-based are the three techniques for storage virtualization. Each technique is suited to varying organizational needs, infrastructure, and scale.

Here’s an overview of the three implementation methods for storage virtualization.

Let’s now look at these three methods in detail.

Method-Based Storage Virtualization

Method-based storage virtualization refers to the techniques used to implement storage virtualization based on a specific method or technology. It is a broader classification that covers implementation methods and technologies to combine storage resources.

Here are the different approaches used in method-based virtualization.

• Software-defined Storage (SDS): SDS combines physical storage and allows centralized control and management using software platforms.
• Storage Area Network (SAN) Virtualization: SAN virtualization combines and virtualizes the storage across a SAN. It pools multiple physical devices into a virtualized storage system.
• Cloud Storage Virtualization: Cloud storage virtualization combines multiple cloud storage providers. It gives a unified storage layer to users regardless of the specific provider.

Host-Based Storage Virtualization

It implements virtualization directly on the host server level. In this approach, the host server manages the virtualized storage using software or agents installed on the host. 

Here’s how it works.

• A software application manages storage resources and allocates virtual storage volumes to users or applications. 
• This method is used in situations where individual servers need to pool and manage local storage or have limited centralized storage management.

Example:  Hypervisor-based storage virtualization, such as VMware's vSphere or Microsoft Hyper-V.

Array-Based Storage Virtualization

This approach manages storage virtualization at the storage array level. It uses hardware or software solutions integrated within the storage array to create a virtualized pool of storage resources. It combines the physical devices and presents a unified storage system.

Here’s how it works.

• The storage array has a virtualization layer built into its architecture, which allows it to combine physical storage devices (such as disks and SAN devices) into a single virtual storage pool. 
• The storage array acts as the controller for managing storage, allowing data replication, load balancing, and scalability.

Example: High-end storage arrays, like EMC VMAX, IBM FlashSystem, or NetApp FAS, use storage virtualization technology directly within their hardware.

Now that you've covered the various approaches to storage virtualization, let's take a closer look at its advantages and disadvantages.

Benefits and Drawbacks of Storage Virtualization: A Balanced Perspective

Storage virtualization offers advantages like improved storage management. However, it comes with its own set of challenges, including complexity and potential costs.

Here are the advantages and disadvantages of using different types of storage virtualization in cloud computing.

1. Advantages of storage virtualization

The advantages are mainly related to improving storage facilities and reducing dependence on a single source.

Here are some of the advantages of storage virtualization.

• Improved Storage Utilization

It allows for better allocation and utilization of storage resources by combining multiple physical storage devices into a single virtual storage pool.

Example: In a virtualized storage environment, unused storage in one server can be dynamically allocated to another.

• Simplified Management

By combining multiple storage devices into a unified storage pool, you can simplify the management and monitoring of storage resources.

Example: Instead of managing different types of storage arrays separately, you can handle all storage through a centralized software interface.

• Scalability and Flexibility

You can scale storage resources as needs grow. Additional storage devices can be added without affecting existing systems, and virtual storage can be reallocated based on demand.

Example: As an organization grows, new storage devices can be added into the virtualized environment without requiring significant modifications.

• Data Duplication and Recovery

Features like data replication and snapshot technology make data recovery more efficient in case of failures.

Example: If data gets corrupted, a virtualized system can restore previous versions of files from snapshots.

• Cost Efficiency

You can save costs over time by optimizing the use of existing storage resources without the need for additional hardware purchases.

Example: By combining physical storage devices into a virtualized pool, businesses can avoid purchasing additional hardware.

2. Disadvantages of storage virtualization

While there are advantages of using storage virtualization, it also has issues like high initial cost and complex management.

Here are the disadvantages of different types of storage virtualization in cloud computing.

• Complex Implementation

Combining different types of storage systems and setting up the virtualization layer needs significant expertise and planning.

Example: Moving to storage virtualization involves complex migrations and compatibility issues.

• High Initial Costs

There is a high initial cost when purchasing new hardware or specialized software. In addition, there may be costs associated with training staff or hiring experts.

Example: An organization may have to invest in high-performance storage arrays, virtualization software, and consultation services.

• Potential Performance Delay

The additional virtualization layer can cause delays in data access, especially if it is not properly optimized.

Example: The virtualization layer could slow down data read/write operations.

• Vendor Dependency

Storage virtualization solutions are tied to specific vendors' hardware or software. This can limit flexibility and make future upgrades difficult.

Example: A specific vendor’s storage virtualization system may find it difficult to adjust to another provider.

• Data Security

Combining physical storage resources into a virtualized pool creates additional layers of management and potential vulnerabilities.

Example: An intruder who breaches one part of the virtualized system may gain access to sensitive data from multiple users.

Also Read: Data Security in Cloud Computing: Top 6 Factors To Consider

Understanding the benefits and challenges of storage virtualization is essential for deciding whether to implement it. Proper preparation is key to successful implementation, as lack of it can lead to potential challenges. Let’s explore these challenges in the next section

Common Challenges in Storage Virtualization and Practical Solutions

Storage virtualization offers benefits like resource optimization. However, you will also face challenges such as data security and integration, which can affect the performance of your systems.

Here are some of the potential challenges and practical solutions for storage virtualization.

Now that you’ve examined the challenges and solutions for storage virtualization, let’s explore the top storage virtualization solutions.

Top Solutions for Storage Virtualization: Technologies and Tools

Storage virtualization solutions simplify storage management and improve performance by combining physical storage into virtualized pools. 

Here are some of the popular storage virtualization solutions.

Although the solutions mentioned above are widely used today, the future may bring changes as new technologies continue to emerge. Let’s look at the future of storage virtualization in the following section.

Future Prospects of Storage Virtualization

As organizations continue to evolve, storage virtualization will also change to meet the increasing demands for flexibility, scalability, and efficiency. Technologies like artificial intelligence, machine learning, and edge computing will offer new ways to manage and store resources.

Here’s how the future of storage virtualization may change.

• Integration with AI and Machine Learning (ML)

AI and ML will help in automating storage management tasks and improving decision-making processes.

Example: AI systems can detect storage failures and initiate self-healing processes.

• Hybrid Environments

Hybrid cloud solutions will allow organizations to transfer data between on-premises and cloud storage easily.

Example: Organizations can transfer data between local and cloud storage based on current needs and workloads.

• Edge Computing

The growth of edge computing will require storage systems that can handle data closer to where it’s generated.

Example: In IoT environments, storage virtualization will allow data management across thousands of devices and edge locations.

Also Read: Cloud Computing Vs. Edge Computing: Difference Between Cloud Computing & Edge Computing

• Improved Security of Data

Future storage virtualization solutions will include advanced encryption and access control features to improve data security.

Example: There could be built-in data encryption at the virtualization layer.

• Software-Defined Storage (SDS)

Future SDS may provide intelligent management and automated scaling to optimize storage and computation.

Example: Intelligent SDS systems could increase storage and compute resources together without manual intervention.

In the previous section, you've covered various methods of storage virtualization, discussed key tools, and explored its future evolution. Now, let's take a look at how you can expand your knowledge of this technology.

How upGrad Can Help You Advance Your Career?

Storage virtualization is transforming the way organizations manage by optimizing resource allocation and improving overall efficiency. As companies continue to adopt these solutions, you can learn storage virtualization and position yourself as an expert in this area.

upGrad's courses offer you in-depth learning that can help you achieve career opportunities in technology and data management. 

Here are the different courses offered by upGrad that can prepare you for future learning in storage virtualization and cloud computing.

• Fundamentals of Cloud Computing
• Professional Certificate Program in Cloud Computing and DevOps
• Cloud Computing and DevOps Program by IIITB - (Executive)
• Cloud Engineer Bootcamp

Expand your expertise with the best resources available. Browse the programs below to find your ideal fit in Best Machine Learning and AI Courses Online.

Best Machine Learning and AI Courses Online

Discover in-demand Machine Learning skills to expand your expertise. Explore the programs below to find the perfect fit for your goals.

In-demand Machine Learning Skills

Discover popular AI and ML blogs and free courses to deepen your expertise. Explore the programs below to find your perfect fit.

Popular AI and ML Blogs & Free Courses