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Software-defined storage

Software-defined storage is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Software-defined storage rather than just read about it. In short: Software-defined storage (SDS) is a marketing term for computer data storage software for policy-based provisioning and management of data storage independent of the underlying hardware. Software-defined storage typically includes a form of storage virtualization to separate the storage hardware from the software that manages it.

Key takeaways

  • Software-defined storage belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Software-defined storage to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Software-defined storage from memory before moving on to harder problems.

Reference excerpt

Software-defined storage (SDS) is a marketing term for computer data storage software for policy-based provisioning and management of data storage independent of the underlying hardware. Software-defined storage typically includes a form of storage virtualization to separate the storage hardware from the software that manages it. The software enabling a software-defined storage environment may also provide policy management for features such as data deduplication, replication, thin provisioning, snapshots, copy-on-write clones, tiering and backup. Software-defined storage (SDS) hardware may or may not also have abstraction, pooling, or automation software of its own. When implemented as software only in conjunction with commodity servers with internal disks, it may suggest software such as a virtual or global file system or distributed block storage. If it is software layered over sophisticated large storage arrays, it suggests software such as storage virtualization or storage resource management, categories of products that address separate and different problems. If the policy and management functions also include a form of artificial intelligence to automate protection and recovery, it can be considered as intelligent abstraction. Software-defined storage may be implemented via appliances over a traditional storage area network (SAN), or implemented as network-attached storage (NAS), or using object-based storage. In March 2014 the Storage Networking Industry Association (SNIA) began a report on software-defined storage.

Software-defined storage industry VMware used the marketing term "software-defined data center" (SDDC) for a broader concept wherein all the virtual storage, server, networking and security resources required by an application can be defined by software and provisioned automatically. Other smaller companies then adopted the term "software-defined storage", such as Cleversafe (acquired by IBM), and OpenIO. Based on similar concepts as software-defined networking (SDN), interest in SDS rose after VMware acquired Nicira for over a billion dollars in 2012. Data storage vendors used various definitions for software-defined storage depending on their product-line. Storage Networking Industry Association (SNIA), a standards group, attempted a multi-vendor, negotiated definition with examples. The software-defined storage industry is projected to reach $86 billion by 2023. Building on the concept of VMware, esurfing cloud has launched a new software-defined storage product called HBlock. HBlock is a lightweight storage cluster controller that operates in user mode. It can be installed on any Linux operating system as a regular application without root access, and deployed alongside other applications on the server. HBlock integrates unused disk space across various servers to create high-performance and highly available virtual disks. These virtual disks can be mounted to local or other remote servers using the standard iSCSI protocol, revitalizing storage resources on-site without impacting existing operations or requiring additional hardware purchases.

Characteristics Characteristics of software-defined storage may include the following features:

Abstraction of logical storage services and capabilities from the underlying physical storage systems, and in some cases pooling across multiple different implementations. Since data movement is relatively expensive and slow compared to computation and services, pooling approaches sometimes suggest leaving it in place and creating a mapping layer to it that spans arrays. Examples include: Storage virtualization, the generalized category of approaches and historic products. External-controller based arrays include storage virtualization to manage usage and access across the drives within their own pools. Other products exist independently to manage across arrays and/or server DAS storage. Virtual volumes (VVols), a proposal from VMware for a more transparent mapping between large volumes and the VM disk images within them, to allow better performance and data management optimizations. This does not reflect a new capability for virtual infrastructure administrators (who can already use, for example, NFS) but it does offer arrays using iSCSI or Fibre Channel a path to higher admin leverage for cross-array management apps written to the virtual infrastructure. Parallel NFS (pNFS), a specific implementation which evolved within the NFS community but has expanded to many implementations. OpenStack and its Swift, Ceph and Cinder APIs for storage interaction, which have been applied to open-source projects as well as to vendor products. A number of Object Storage platforms are also examples of software-defined storage implementations. Number of distributed storage solutions for clustered file system or distributed block storage are good examples of software defined storage. Automation with policy-driven storage provisioning with service-level agreements replacing technology details. This requires management interfaces that span traditional storage-array products, as a particular definition of separating "control plane" from "data plane", in the spirit of OpenFlow. Prior industry standardization efforts included the Storage Management Initiative – Specification (SMI-S) which began in 2000. Commodity hardware with storage logic abstracted into a software layer. This is also described as a clustered file system for converged storage.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Software-defined storage

Start with the simplest possible case. Write down what Software-defined storage claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Software-defined storage before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Software-defined storage ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Software-defined storage

In research
Software-defined storage appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Software-defined storage in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Software-defined storage is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cloud storage, Information technology, so understanding it makes those chapters shorter.
In everyday life
Look for Software-defined storage outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Software-defined storage in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Software-defined storage means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Software-defined storage out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Software-defined storage in simple terms?

Software-defined storage (SDS) is a marketing term for computer data storage software for policy-based provisioning and management of data storage independent of the underlying hardware. Software-defined storage typically includes a form of storage virtualization to separate the storage hardware fr…

Why does Software-defined storage matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Software-defined storage?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Software-defined storage.

Tags

  • Cloud storage
  • Information technology

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