Storage Management : The Issues, The Options And The Solution

Today is the world of IOT (Internet of things) and so that data is producing at very high rate in the form of Big data. That is why it becomes very difficult for companies and organizations to invest too much upfront cost for the setup of infrastructure and platform to handle this big amount of data. Cloud computing has come in boom around the year 2007 with rapidly growing innovative social and business organizations. Cloud computing allows its users to use the on-demand resources from shared pool of configurable resources at a very nominal price.

This case gives us a fundamental understanding of the concept of cloud computing and presents the advantages and issues of this IT infrastructure. This case gives a clear vision of the company’s current situation. Three main questions to consider

Since the 1970’s databases and report generators have been used to aid business decisions. In the 1990’s technology in this area improved. Now technology such as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet certain goals.

Cloud computing has set a trend in the information technology arena that has sparked the interest of all who utilize the internet on purpose and unsuspectingly. Initially, the primary purpose of cloud computing was to provide a centralized data bank that organizations could use for quick data access. Its use has been quickly adapted, however, beyond business use to become the first option for personal use. The advantages and disadvantages of implementing such a shift from business to personal are varied, yet, statistically, according to the CISCO Global Cloud Index: Forecast and Methodology, 2014-2019 White Paper, its public use is on the rise. The report notes that “by 2019, 56 percent of the cloud workloads will be in public cloud data centers, up from 30 percent in 2014 and by 2019, 44 percent of the cloud workloads will be in private cloud data centers, down from 70 percent in 2014”. Though disadvantages with regard to data security is prominent, users have deemed that its implementation will still promote greater benefits than loss.

On the above date I responded to Premier Storage, located at 8619 Squib Drive, reference a delayed theft.

When a business started, the related data has been generated. Along with the development of the business, the data becomes larger and accumulates day by day. The accumulated data can be transferred to meaningful information for the managers’ decision makings. Storing and protecting the data is essential to the development of the enterprise business. Today, almost all enterprises use computer storage to store their data instead of the hard copy papers. In the past, hard copy papers stored the data for the enterprise, but it existed too many potential risks, such as data loss, data stolen, data destroy, or cannot sharing with others. In 1990s, more companies started to use computer hard drive to store their business data; this change impacted the later development of the storage strategies. Along with the technology development and the data becomes bigger and bigger, big data problems appear. How can enterprise store such large data and manage such large data effectively? Currently there are several classic storage strategies to help enterprise solve their data storage problems, such as spinning media, flash, and cloud. The enterprise also can select onsite or offsite option as their considerations based on their business environment. Security issues are popular discussion topics as well in this paper.

This research paper tackles the issues that faces Cloud Computing today and gives the experts and industry’s point of view on the matter. The aspects explored are the significant industry questions that have risen about the use of Cloud Computing, business value, organization impact, adaptability, limitations, initial cost of implementation, and the severe business security risks

The following text considers the issues that arise from the static storage model. By looking at mechanisms of death which occur in cells and taking human memory as an example of labile storage, static memory is posited to be a problematic model. A link is traced between cellular death mechanisms and memory transmission (mutations), and the new developments in synthetic DNA storage. As the near future nature of truly embodied data stored in DNA is thought of within the static storage model, I use this text to sketch the implications of this anachronism, and hope to inspire thoughts on possible mutable memory models.

Laws and Regulations: One of the main difficulties with cloud storage, as it relates to private healthcare information, is there are many shareholders involved. Individual consumers look to keep information accessible and private. Healthcare providers look to provide quality care while maintaining a competitive advantage over other firms and staying within the bounds of the law. Healthcare insurance coverage providers must keep a competitive edge and must work with healthcare providers to gather and provide information, provide it to individuals and maintain competency under the law. Cloud storage providers must seek to capitalize on new technology while offering a relatively new service. They too must understand legal ramifications as related to the transmitting and storage of private health information. HIPAA offers two main shareholders: covered entities, and business associates. A covered entity is defined as a health plan, healthcare clearinghouse or a health care provider who transmits any health information in electronic form in connection with a transaction. A business associate is a person or entity “that creates, receives, maintains or transmits” PHI (private health information) on behalf of a covered entity”.

In a fast paced, business ordinated technological world the overall welfare of a company is tied to the success or failure to make the tough decisions. On one instance a company’s CEO might be able to make the choices based on experience, advice, or simple gut instinct. However, this is not the only skill one needs. There is a great deal of information to be found in being able to see investments in data and analytics. These decisions are based off of big data. Big data is a catch-phrase, used to describe a massive volume of both structured and unstructured data that is too large to process using traditional database and software techniques. The volume of data is in most cases is too big, moves too fast or it exceed the processing capacity the company has. Despite these potential drawbacks, big data contains the potential to help companies by improving operations and making faster, more intelligent decisions. This can be broken into three key parts, knowledge, data, and information.

According to Francis (2014), many companies throughout the world are taking preemptive measures to back up data. However, many companies are still losing the very data in which they set out to protect. The main reason for this loss of data is that companies are not using the most efficient and greener mode of managing big internal data: cloud technology.

With the increasing focus on information and big data the storage capability of datacenters is in a state of flux and confusion. Consequently, many storage problems can be solved with a software-centric infrastructure and move storage from proprietary hardware devices to software-led services that become storage pools in the software-defined datacenter (SDC). HaaS is the answer with its software-defined storage (SDS).

afford. This in turn has led to the rise of cloud computing to fill market needs with

The National Institute of Standards and Technology describes cloud storage as a model for enabling ubiquitous, on-demand network access to a shared configurable computing resources that can be swiftly accessed and released with minimal effort or service provider collaboration. It is comprised of a collection of hardware and software that allows the infrastructure of the cloud to work in a seamless, unified effort. Depending on the classification of information and the service provider the remote servers can be located within the same facility. The stored data is

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.