Cloud computing vs. Grid Computing
Cloud computing is what we refer to as the employing of a 3rd party to handle and computing needs and provide web services. The internet is metaphorically called the cloud in the context of cloud computing. Companies, both small and large save a lot of infrastructure investment by spending on cloud computing.
This proves more beneficial for medium and small enterprises. It integrates Web 2.0, software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It abolishes all intricacies and costs of purchasing, configuring and managing the software and hardware which is required to construct and install applications. It is these services which are supplied through the internet or what we here call cloud. Amazon Web Services (AWS), Salesforce.com and Google Apps are some of its examples.
Grid computing is a type of dispersed computing in which the resources available with the computers in a network can be accessed and used simultaneously to come out with a solution. They basically allow easy collaborative accession to resources. It also seems to be a huge spread of collective computing. Today grid computing is proving to be a huge assistance in scientific experimentation by facilitating scientists to evaluate and stock up enormous chunks of data by mutual usage of resources around the globe. The grids of grid computing are slackly attached and spread out physically in comparison to computing arrangements. SETI (Search for Extraterrestrial Intelligence), BOINC (Berkeley Open Infrastructure for Network Computing) and GIMPS – Great Internet Messene Prime Search are some of grid computing examples.
The functioning of cloud computing involves users provided of switches that are thick-thin, utilize computing and grid computing. Grid computing, on the other hand, links a computer on one shore to another computer on the other shore, forming a common pool of resources allowing every computer to access. Being charged in accordance with the usage on mutual servers is called utility computing.
The computing resources offered with the help of grid computing can be switched off or on as and when desired. Cloud computing distinguishes itself here by providing resources on demand. This proves to be better in the way that there is not an excess of resources and hence no unnecessary costs that are incurred because of them. This also saves time and energy of providing data which might prove to be irrelevant to the client. With grid computing users need software which can split the program into parts of single huge system image. The drawback here is that the software in its entirety fails if a single part of program on the node fails.
This risk is lessened if the software isn’t dependent on another for the completion of the grid task. This is a major cause for huge operating expenses of companies. Cloud computing does not require a computer or a certain application or acquire a specific version which is configured to PDAs or smart phones. The companies hold no right on platform, software and infrastructure in this case. They also do not need to be bothered about set of connections and servers.
Cloud computing and Grid Computing have different approaches on many subjects one of them being threshold policy which lets the customer detect the problems he might face once the program starts functioning. To test, develop and improve and apply a program a customer should know the threshold policy and how it perceives and further handles the abrupt increase or decrease in demand. Also, how the idle resources are used and allocated for other tasks.
Interoperability issues are another point of difference between computing and grid computing. This issue arises out of the different formats followed for exporting and importing information. Companies find this a problem when they switch their vendors who own different APIs. This poses difficulty in attaining applications’ interoperability among vendors of cloud computing. This issue is solved by reformatting information or modifying the logical expressions of applications.
Hidden costs is not mentioned in cloud computing. Service providers can charge companies a lot for storing terabytes of database within clouds. Companies have an opportunity to save this expenditure on licensing latest software, preparing new personnel and on new infrastructure. What further more increases cost for the companies is when face latency due to their far off location from the cloud suppliers especially in the case of heavy traffic.
Unexpected behavior is something companies should expect. Just because of the credit card corroboration application works fine on the company’s domestic information center does not guarantee its smooth functioning outside too. It thus becomes necessary for a checking the application behavior within the cloud. This involves the proper allocation of resources and also the distribution of unexploited resources for tasks where they could prove to be useful. If the applications do show unexpected outcomes then these issues need to be fixed and settled before employing them within the cloud.
Cloud computing is considered to be more environmental friendly than grid computing. This is because it involves less hardware elements which run applications on the enterprise’s domestic information centers. Once the hardware components decrease the energy for their management and cooling is reduced automatically. These systems are run more efficiently in the remote areas by consolidating them into groups. Cloud computing promote telecommuting practices too.
These practices include file transfers and remote printing which further reduce the requirement of work space, purchasing new furniture, discarding the old office items and the usual office tasks. They ease life to the extent of not driving to office everyday which has a more profound effect on the environment in the form of reduced carbon dioxide production.
For better high-end users of software, its best to employ cloud server bands in the domestic information center and expand resources for the time being to one of the vendors. This lets project managers to control costs in better ways, handle security and proper distribution of resources in accordance to the projects assigned to the clouds. Project heads can also allot single hardware capital to the various types of clouds such as production cloud, testing cloud and web development cloud.