Virtualisation has become the very technology engine behind cloud computing itself, while the benefits of this technology and service delivery model are well known, understood, and increasingly being taken advantage of, their effects on the data center physical infrastructure are less understood. The purpose of this paper is to describe these effects while offering possible solutions or methods for dealing with them.
It is both easy and inexpensive for any data centre, large or small, new or old, to get started allocating costs and carbon, but the expense and complexity escalate and ROI declines when excessive precision is specified. Read on for more.
The consolidation of one or more data centres into an existing data centre is a common occurrence. This
paper gives examples of what is becoming a standard architecture for preparing the physical infrastructure in the receiving data centre. This approach allows for shorter timelines and high efficiency while avoiding the commonly expected difficulties and complexities often experienced with consolidation projects.
While the benefits of this technology and service delivery model are well known, understood, and
increasingly being taken advantage of, their effects on the data center physical infrastructure
(DCPI) are less understood. The purpose of this paper is to describe these effects while
offering possible solutions or methods for dealing with them. Read this whitepaper.
The benefits of determining data center infrastructure efficiency as part of an effective energy
management plan are widely recognised. The standard metrics of Power Usage Effectiveness
(PUE) and its reciprocal Data Center Infrastructure Efficiency1 (DCIE) have emerged as
recognised standards. This paper defines a standard approach to collecting data from data centers and showing how to use it to calculate PUE, with a focus on what to do with data that is confusing or
Using virtualisation to reduce the number of servers in the data center immediately reduces power, cooling and space requirements, lowering ongoing OPEX. Reducing the number of servers also reduces expensive space requirements, allowing for more services to be added to an existing data center, extending the life of this large investment
Many IT organizations are struggling to cope with the ever-growing complexity of the IT infrastructure in today’s data centers.
To compound this challenge, they must also balance the need to respond to pressure for delivering IT services faster and more
cost effectively than ever before. As a result of these economic and staffing pressures, many organizations are seeking alternate
service delivery and enterprise management approaches. These approaches can balance the need for control while reducing
risk and increasing agility in providing cost-effective service delivery.
Cloud computing is a major departure from the traditional IT service delivery model. Services are no longer tied to dedicated hardware silos. Instead, virtualized resources — servers, network devices, and storage — are abstracted from the hardware. They move freely about the infrastructure, delivering services when and where they are needed. But this doesn’t mean that you have to completely reinvent IT to implement cloud computing.
In November 2009, CA commissioned Forrester Consulting to evaluate the impact, challenges, and requirements around the operational aspects of virtualization. The study confirms that virtualization is continuing to expand, and the technology introduces new levels of complexity that threaten the stability of services. As day-to-day production responsibility shifts from subject matter experts to operational generalists, new management and automation tools are needed to minimize the risks.
Cloud computing is a disruptive transformation for IT. Public cloud offerings allow the business to
directly access external services, creating security holes and quality blind spots while potentially
eroding enterprise IT’s perceived value. To become internally agile and efficient, IT must go beyond just virtualizing servers to provide elastic, on-demand private cloud services. At the same time, IT needs to transform itself into the master of a dynamic service supply chain, driving smart sourcing decisions and orchestrating how internal, external, virtual, and traditional resources work together to optimize business value.
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