Orginally Submiited as a research paper by Ash Thomas as a Student in the University 12 years ago
Introduction
A hot topic of discussion among IT corporations today is Data center Management.
Key factors like rising power consumption cost, IT assets like Software and Hardware, loss of valuable physical paces are some of the major concerns of data center management. Ever-growing Computational Demands have been observed to have a direct influence on these key factors. Computational demands in terms of demanding new services from Customer demands often push IT organizations to be upgraded with the latest technologies and IT assets to meet the growing demands.
Challenges faced by IT In-house Datacenters especially during the current recession to cater services in a cost-effective manner and ensuring good quality of services is under the budgetary scanner. These constraints could offer hindrances to the overall quality of IT Operations.
Today’s Businesses are more dependent on Information technology services. The term Computational demands refer to the ever-growing customer demands in an IT industry.
Customers’ ever-increasing demands often force business firms to consider alternatives of improving their operations to cater to demands. Adding to the key factors like rising power consumption costs, Software and Hardware, loss of
valuable physical spaces that offer IT data center managers difficulties in controlling the cost of data center operations. Moreover, they are further challenged with newer computational demands even during challenging times when organizations are trying to control the cost of operations which could affect a Datacenters commitment to quality services in a cost-efficient manner.
in order to meet the ever-growing customer expectations, data centers have to acquire newer IT Assets to meet its increasing demands. As a result, the ever-changing customer demands are accelerating the operational losses in a
data center. . However some additional key factors including power consumption costs, Software, and Hardware, loss of valuable physical spaces are also considered as barriers for data center management.
With proper Consolidation and Right, Sizing’s Organizations Can realize and recognize a major datacenter costs savings in its operations. The data center is causing losses in IT business operations,s especially during current times. Researches have been searching long for a solution to find alternate ways of serving computational demands.
Definition of a Datacenter
Datacenters, in general, offer several Business operational Continuity metrics to ensure the reliability of the IT systems and providing computational services emphasize that the simplest way to define a data center would be a house or building of mission-critical servers including storage computer equipment managed, designed, and operated to meet
an organization’s Business customers or computational Purpose demands. The data center is often regarded as the Brain of any Business establishment operating 24/7
It has been analyzed that in this competitive market, organizations are continually challenged with the latest computational demands from customers. These computational demands from customers often push these data centers to be upgraded and updated and in today’s operating scenario.
IT systems in an organization are more concerned about being in compliance even today, which could mean that the IT
demands are more of cost consent or cost center rather than a being a valuable asset to organizations
The increased importance of providing the customers exceptional business benefits during challenging times to ensure customer retentions are now gaining pace.
IT organizations face a greater risk during challenging times like recession if they fail to stay ahead of using competitive advantages. This can be related to an IT industry as well which could then mean over cautiousness or
conservative nature by staying less innovative which may often prove impractical to provide the same or better level of IT Datacenter services to meet customer expectations.
It has been furthermore stressed by Ashford that organizations need to scale up themselves through improved services and products to differentiate them from their competitors during challenging times. Ailing economic conditions will have forced now organizations to cut their IT budgets to curb down costs and optimize the present mode of operations
Organizations started looking further for tech-centric options or alternatives to cut expenditures in their infrastructure operations and trying to convert their in-house data center to a key business enabler.
Prior Attempts made to cope with Computational Demands
It has been analyzed until now that the brain of the Information Technology operations Our datacenters were not only bombarded with new computational demands but also accounts to other key factors like rising energy costs, hardware and software upgrades, loss in valuable physical spaces, making it a locus of business decisions while planning further investments and budgets on datacenters
A data center today is reaching its limit of valuable physical space resources. Management of infrastructure, cooling, power consumption costs are, however, a topic of discussion but immense needs of handling newer Computational demands in an efficiently & inventively manner to create higher flexibility and availability to respond quickly even during
challenging times is underworld scanner.
Organizations to have considered aspects like virtualization aimed and achieved less valuable spaces in data centers, ability to quickly react to customer demands with a good return on their IT business functioning lowering many operating costs like valuable space utilization created havocs and achieved profits.
But sooner power and cooling efficiency, server shutdowns due to heat-related problems, Co2 Emission popped which then forced IT operations to scale up their expenditures on methods like the usage of super control energy-hungry Air Conditioners to cut the rising temperature. This probably again trigged the ideas of Greener Datacenters which
again added upfront costs only with some alternatives than before.
The Upfront Payments for the virtual servers and Greener Datacenters were apparently higher with no promise in challenging times which made only 26% of SMEs use this method. Until now time upfront costs or fixed costs
associated with investments were under the wider consideration of Datacenter infrastructure management. This often restricts or limits newer computational demands which are not a good option for an organization to cut costs in its management cycle
A revolutionary transformation is extremely essential In today’s operating scenario of in-house IT Datacenter as the cost of running cost-optimized data centers under even more concerns of the current economic recession are under high observation.
The need for a platform to handle newer computational demands effectively within budgetary concerns with value
to the future could be a defining moment for alternatives like some services on demand. A call for an even more revolutionary transformation became extremely essential, for data centers today to look into services on-demand technologies to meet its growth objectives being a business enabler rather than again a cost center.
Computing is going through a quick transition as profound as the rise of the web. A model tackling new computational demands with less upfront capital IT investments Poon thereby enhancing business agility in a cost-effective manner
with cutting-edge technologies keeping an eye on the rising costs in datacenters with pay as you go per contract rate like electricity has become a necessity and computing now in this world is turning to be utility.
Studies done state that suggestive approaches like scalable dynamic infrastructure solutions may give datacenters access to cutting-edge technologies faster and quicker with fewer capital expenditures in catering to computational demands quickly. This might help in meeting newer computational demands and tackling them efficiently &
inventively manner with much-reduced capital expenditures than traditional methods
Cloud computing might be an optimal and beneficial solution for both the data centers and the customers. Customers can directly get benefited from cloud computing, whereas the data centers instead can actually cater to a much wider range of computational demands by using cloud computing as a medium.
Several studies have been conducted regarding the operational losses and plenty of attempts made to find out the possible solutions to reduce these losses in the data center. However, most of the researches focused on operating losses from different areas such as energy, software, and hardware and about the loss of invaluable physical space in a Datacenter could not able to produce sustainable solutions concerned with growing computational
demands.
This research proposes to analyze the present functioning of data centers from an operational level and searching possible alternatives to tackling computational demands in a cost-effective manner. All researches are built on assumptions, in this research Computational Demands from Customers or Computing Demands from Customers are assumed to more or less the same, so further researches shouldn’t get confused on this matter. In this research, we only will say Computational demand in general.
The ever-increasing cost of managing new computational demands promoting growth and competition today within budgetary constraints is one among the major concerns of IT in-house Datacenter operations today. Customer demands in an IT Industry directly relate to an organization’s data center operations.
Organizations at the present time are turning ways into Minimizing costs, operational risks and maximize the business value of IT investments by converting in-house data centers to be a key business enabler rather than
becoming cost center
Importance of On-Demand Services: Pay as You Go
Pay as You Go is a very common metaphor that usually common people use for services like the basic cell phone, electricity which offers greater flexibility, and on-demand services to users.
The present downturn in the market is will hasten many organizations to the adoption of on-demand computing services like cloud computing. The economic recession has opened the eyes of business Information technology business towards progressively optimized and cost-effective options of Cutting edge Technology solutions a data center can offer to cater to computational demands.
Cloud computing is an elastic hub of software, Hardware, platform via the internet enabling data centers to upgrade instantly to the latest technologies. Datacenters can avail the use of instant technology upgrades from the elastic hub quickly instead of adding more and more IT assets and can provide greater flexibility and with less upfront capital IT
investments thereby enhancing business agility in a cost-effective manner to its computational demands.
On-demand Services of technology, infrastructure, platform ie: cloud computing could mean a temporary or permanent transformational approach of data centers to cater to certain demands to customers without huge initial capital IT Asset expenditures thereby enhancing business agility in a cost-effective manner.
This research would try to make a feasibility study to determine whether this cloud computing concept can actually add any value to the existing data centers and if so how this can be achieved in meeting computational demands. The outcome of this research will determine the challenges.
This paper highlights giving a broad understanding of the pain areas of Datacenter Management and the complexity faced in catering to new computational demands from an operations scenario adding value to the business.
This is also aimed at providing an insight to IT Service Delivery Managers engaged in IT Datacenters Management roles to understand the Business advantages, alternate models can offer them to stay ahead even during challenging times offering cutting edge technologies that are dependable without the pains of managing them or adding an IT Asset a part of their infrastructure. This could probably help them in integrating a bit of cloud computing into their approaches.
The research simultaneously focuses on adding the value of suggesting alternatives a data center can use which can enable them from being a cost enabler once to a business enabler. It gives further information on how infrastructural service can be improved to handle spikes instead of reacting slower or turning down customer demands to avoid additional huge investments.
This research would also help to understand practical ways of using rented infrastructural services and this may be helpful for even normal users or customers to go for do-it-yourself approaches of having new datacenters in the cloud saving lots of budgets rather than traditional ways of investing big.
This will probably help them to analyze the trend and deeper comparison of their present operation and draw attention towards accomplishing the same objectives by using a pay-as-you approach.
Further knowledge obtained from this research can be used for exploring the further market possibilities from where this research ends as this will act as a complete reference guide for new organizations or companies planning to set up data centers in their environment.
This could be a milestone achievement for any students for further researches in the same
area carried out.