The New Data Center Operating System

Cloud computing was a completely new term a short 9 years ago, in 2007. The basis of this technology is to move the workload of IT activities away from an organization, and to one or more third parties that have resources dedicated to processing such things. These can be, but are not limited to, networking, storage, software systems, and applications. Rather than having to create and maintain their own expensive datacenters, companies can pay a fee to use someone else’s. This makes growing businesses extremely flexible, as they can easily gain or remove storage space per their needs. Being able to purchase the use of online storage space is known as “hardware as a service,” or, more simply, “virtualization.” Being able to purchase the use of online software is known as “software as a service.” Both are very powerful tools that allow the minimization of a company’s IT budget.

As we all know virtualization is the requirement of future. We have evolved from the age of traditional environment to virtual environment.We have grown accustomed to almost all things virtual from virtual memory to virtual networks to virtual storage.The most widely leveraged benefit of virtualization technology is server consolidation, enabling one server to take on the workloads of multiple servers. For example, by consolidating a branch office’s print server, fax server, exchange server, and web server on a single windows server, businesses reduce the costs of hardware, maintenance, and staffing.

Large corporations might choose to consolidate their IT system in one virtualized (and very expensive) server farm saving on hardware, support and maintenance costs over time.

Stratoscale provides a unique to this fast growing need for Hyper-convergence. Unlike other solutions Stratoscale’s unique solution is a software only solution – Hyper-convergence as a Solution (HaaS). There is no appliance or special hardware requirement. Simply download Stratroscale's HaaS to an existing x86 server platform – bring your own hardware – and with one click the software tool set is installed and the datacenter infrastructure is discovered

Last year Clabby Analytics published an interesting White Paper about a significant change in the High Performance Computing (HPC) market caused by the arrival of Hyperscale servers. This change could have a huge impact on Colocation as a service, providing compute capacity like we have never seen before that will be designed to

Cloud computing has greatly influenced many aspects within the growing technology sector. This innovative approach has altered the way many businesses and individuals use technology. While there is no one clear definition of cloud computing, the National Institute of Standards and Technology (NIST) defines cloud computing as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction” (Mell & Grance, 2011). It is composed of three service models: Infrastructure as a Service (IaaS,) Platform as a Service

Cloud computing is a new way of delivering computing resources, not a new technology. Computing services ranging from data storage and processing to software, such as email handling, are now available instantly, commitment-free and on-demand. Since we are in a time of belt-tightening, this new economic model for computing has found fertile ground and is seeing massive global investment. According to IDC’s analysis, the worldwide forecast for cloud services in 2009 will be in the order of $17.4bn1. The estimation for 2013 amounts to $44.2bn, with the European market ranging from €971m in 2008 to €6,005m in 2013 2. The key conclusion of ENISA’s 2009 paper on Cloud

5). A virtualized infrastructure – better known as virtualization – is where servers are consolidated (MSV, 2012, p. 5). For instance, an organization can have individual servers for each of the following “roles like Web Servers, Database Servers and Messaging Servers” (MSV, 2012, p. 4). Instead of having a plethora of servers to handle these many different roles each server is virtualized to take on multiple roles here by “the data center infrastructure can be consolidated from hundreds of servers to just tens of servers” (MSV, 2012, p. 4). Initially this technology was implemented in data centers as a means for organizations to lower the datacenters total cost of ownership hereby saving companies significant amounts of money on power bills, cooling equipment, and hardware in general (MSV, 2012, p. 5). Although today 's cloud technology is widely developing into a product called Software as a Service (SaaS) (Srinivasan, 2013, p.48). In example, services like iCloud, Google Drive, or OneDrive from Microsoft are considered SaaS (Srinivasan, 2013, p.49). These examples offer a certain amount of free storage space for users who employ their services and have an account which is usually free as well.

Cloud computing is an emergent computing paradigm that has the potential to make ‘computing as a utility’ a reality in the near future (Buyya et al., 2009). These days many organizations have adopted cloud computing or in the process of

The information technology industry is growing at a rapid pace. Every business entity needs some form of IT support to ensure that business operations are continuously running. As an entity grows in size and revenue, the information system needed to support the entity needs to grow as well. Some businesses may not have enough resources to accommodate this expansion. Their building may be too small or they cannot afford to purchase the equipment. When this is the case, an organization will choose to migrate their network infrastructure to a cloud computing environment. Cloud computing allows for a company to implement a large scale network without having to incur expenses for modifying the building infrastructure. Cloud

The world has recently adopted a new approach to computing – cloud computing. It is a particularly new model of computing, where databases are stored and operated somewhere in a cloud. Mell and Grance (2011) define cloud computing as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction” (p. 2). In other words, the cloud is considered a remote computing data center that one can access either on the subscription or “pay-as-you-go” basis. Thus, cloud computing relates to the hardware, applications, and system software that provide

Enterprises, both big and small, are evaluating cloud computing and moving IT infrastructure to the cloud. To achieve the financial goals of the any organization and be prosperous in today’s highly aggressive market; therefore businesses must have services that are secure, reliable, scalable and available anywhere at any given time, on any device – all while it lowers cost and minimizes integration complexity.

The term “cloud” is not fairly new (Mohamed, 2009). The cloud can be dated back to the sixties. During the sixties, the evolution of cloud computing has continued to progress.

Cloud computing is large group of remote servers which are networked for facilitating pervasive, expedient, on-demand network access to configurable and common computing resources such as CPU processing, network bandwidth, disk space that can be quickly facilitated and reclaimed with minimum central management. The underlying complexity of such a system is handled by an Operating System which is designed to support interoperability, scalability, security, user privacy, data management, fault tolerance. These operating systems need to work proficiently in the background to ensure that all the resources are available when needed and ensure acceptable performance and quality of service.

This suggests that a change in how we design these small on-premise data centers is needed. We can no longer focus only on central and regional data centers, and arguably, more focus should be on the localized sites because they are currently the weakest links.