Here are the latest Insider stories. More Insider Sign Out. Sign In Register. Sign Out Sign In Register. Latest Insider. Check out the latest Insider stories here. More from the IDG Network. On-demand computing goes to Comdex. To data center utopia. It is critical that adequate resources be in place to support that service, particularly during the early days of an introduction. Yet calculating ahead of time what this demand surge will be is almost impossible. To date, all a CIO could do was overprovision, but as Salow points out, that imposed a double penalty: paying more than was technically necessary and waiting for the new equipment to be installed and tested.
So Salow took a different approach and structured a deal with IBM Global Services to buy storage and processing for delivery over a network, per increment of traffic demand. That is not utility computing in the purest sense, since resource procurement is not calculated automatically or per transaction.
But the term still applies because of the much tighter fit it allows between the provisioning and demand curves. The advantages of utility computing are self-evident: Resource use becomes more efficient, and because resource changes are automatic or at least highly automated, it also conserves management time.
By contrast, the current system? On paper, at least, the case for the transition to utility computing seems compelling. Unfortunately it is very hard to get from here to there. Companies assemble current systems out of silos of resources, which they then fine-tune to local operating requirements.
Some of those resources sit inside the firewall and some outside; some run under Unix and some under Windows; and some are PCs and some are Macs. As a result, many vendors are selling what might be thought of as "outsourced utility computing," in which they provide resources over the Internet, matching delivery to demand at least semiautomatically, perhaps through a webpage.
One appeal of such services is their level of automation. Mobil Travel Guide is developing a complicated new mapping service, Mobil Companion, that will support a high level of interactivity between travelers and facilities such as hotels, parks and museums.
For instance, tourists planning a journey will be able to buy tickets and make reservations along their intended route with a few clicks. But the service will be intensely transactional and prone to unpredictable peaks. He says his level of comfort springs in part from his background in travel reservation services, which have been using utility computinglike services for years?
Mercurio expects utility computing to move to that same model. Some companies even plan to move almost entirely to the outsourced utility computing model.
Recently, Inpharmatica, a British pharmaceutical company, finished participating in a utility computing pilot program just launched by Gateway. We would much rather employ people to do innovative analysis than spend time building computers. As demand exceeds capacity, I hope to use compute-on-demand to top up and eventually replace our compute farm. Utility computing by its nature is antagonistic to the idea of drawing a high contrast line between local and external resources; if all resources are interoperable, a transaction should never need to know whether the processing it buys comes from inside or outside.
The client is charged as per their consumption. Examples of these IT services are storage, computing power, and applications. The term utility is basically the utility services like water, telephone, electricity, and gas that are provided by any utility company. In a similar manner, the customer when receives utility computing, its computing power on the shared computer network bills is decided on the basis of the consumption which is measured.
Utility computing is similar to virtualization and the total web storage space amount with the computing power that is made available to the user is higher as compared to a single time-sharing computer. The web service is possible through a number of backend web servers. The web servers could be dedicated and used as a cluster form which is created and then gets leased to the end-user.
Distributed computing is the method where a single such calculation is done on multiple web servers. In utility computing, there is a provider who will own the storage or power resources.
The customer is charged based on how much they make use of the services. The customer is not charged each month and the services are not sold outright. Depending on the resources that are offered utility computing could also be called Infrastructure as a Service or IaaS and Hardware as a Service or HaaS. Their function is similar to the other basic utilities. It is like you or any major company uses electricity. Both of you do not pay a flat monthly rate but pay the amount as per the electricity that you consume.
There are companies that offer a different kind of utility computing where the user will rent a cloud computer and use it in order to run the applications or an algorithm or anything that may need a lot of computing power. You pay per second or per hour and do not pay a flat fee to use the service. Utility computing is beneficial because of its flexibility. Since you do not own the resource and are not leasing them for long it is easy to change the amount of power that you buy. You are free to grow or to shrink the service amount within a few seconds based on your business requirements.
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