Cloud Computing Vs. Grid Computing: A Comparison 1

Cloud Computing Vs. Grid Computing: A Comparison

In the world of technical jargon related to scalability of computing, cloud computing and grid computing are regularly mentioned in an equal breath. This article hopes to provide a few statistics approximately the two big-scale laptop networking ideas, greater drastically the variations between them. It is important to start with the know-how that they may not be together one of a kind!


Grid computing was something everybody mentioned as “the next big thing” until it turned into changed by the time period, cloud computing. As a few technology fanatics predicted, cloud computing did now not spell the give up of grid computing. It nonetheless exists out of doors the sector of buzzwords and news bytes. Before we delve into how they range, allow us to speedy refresh our minds with their definitions.

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Grid Computing

The concept of grid computing isn’t always new. In a manner, it’s far not anything however parallel or allotted quantum computing; however, the difference lies in the scale and complexity! So believe parallel processing at a level in which, in preference to sharing one or more resources, each computing aid is shared among all of the computers in the community (as though they shape an interconnected grid). Now consider that the grid can consist of numerous one-of-a-kind legal heterogeneous systems, even owned by distinctive companies! It might be like a huge supercomputer with unrivaled processing electricity, reminiscence capability, and information storage capacity appropriate for the most complex computations. Still, sincerely it’s miles just a community of interconnected computers. As a long way as the consumer of a grid laptop is worried, he/she is just the usage of the neighborhood laptop (now a supercomputer because of the grid hyperlinks) ignorant of the hyperlinks contributing to the power and substantial complexity of the community grid or cluster to which that device belongs.

Cloud Computing

In reality, cloud computing developed from grid computing and belongs to the same paradigm of load sharing within virtualized sources and imparting on-call for computing power in a dynamically scalable style. Just because it sounds from their definitions, both cloud computing and grid computing are overlapping principles. The key emphasis with the Internet-based totally cloud computing paradigm stays in achieving economies of scale in phrases of the business computing infrastructure usage. Cloud computing is a buzzword nowadays, mainly because of its industrial viability about organizations being able to offload overburdened IT infrastructures with fee-added talents.

Now you would possibly marvel, if each grid and cloud computing percentage the same imaginative and prescient of attaining more computing scalability, are they just fancy technical jargon describing the identical generation? Not truly. So, how do they range? Let us examine the points of comparison between grid computing and cloud computing future.

Grid Computing Vs. Cloud Computing

Business Model

Grid Computing:

Typically, grid infrastructures are accessed with the aid of multiple, heterogeneous companies or task teams that typically proportion to a not unusual goal and need to get admission to a virtual supercomputer to work on a single undertaking or a single set of obligations. However, the customers or assignment sponsors could need to endure the massive fee of putting in and maintaining, and tracking the grid.

When in comparison to getting access to a cloud infrastructure that fees only as in keeping with the intake of resources, the set-up fees of a grid at the side of the price of ownership of sources (like community administration, protection body of workers, and so forth.) are probable to be phenomenally excessive.

Cloud Computing:

A customer gaining access to a cloud infrastructure or service pays the cloud issuer on a pay-per-use basis. The commercial enterprise model is predicated on optimizing usage such that the price makes the experience for the consumer and brings income to the provider.

We can companion it to the usage of utilities, including strength, gasoline, and so on., or shop in bulk, but most effective while there is a requirement or demand. The benefit is in reaching economies of scale. It’s impartial about whether or not the mission calls for computational energy or multiplied garage potential.

The customer is preferably not worried about the building or renovation of the cloud infrastructure or offerings. This function of abstraction is commonplace to each grid computing and cloud computing.

Computing Model

Grid Computing:

Grid computing does no longer have common requirements in regards to the configuration of systems and software. Some software and maximum algorithms and codes require primary restructuring, which will use all the advantages of “parallel processing” with grid computing.

Even records conversation protocols are grid-specific. Since maximum resources are being shared, network congestion manipulates, fairness in allocation, reduction in latency, etc., are elements governing grid protocols’ improvement. Standard protocols are just no longer agile or flexible to guide grid infrastructures.

Cloud Computing:


Cloud computing has a more business cognizance and is, therefore, more flexible than the grid version. For instance, the enlargement of a commercial enterprise requiring more sources is as smooth as informing your provider to avail their seamless and mainly automated growth offerings.

Even writing a new code and so on. Becomes less time-consuming with the usage of familiar software.

Existing protocols consisting of Web Services (WSDL, SOAP), and a few superior Web 2.Zero technologies consisting of REST, RSS, AJAX, etc., may be utilized in cloud-based systems.


Grid Computing:

We have already seen that the grid infrastructure incorporates various configurations and platforms. Hence, one of these gadgets’ safety might be attention proper from the putting in of the grid.

Important factors are authentication (unmarried signal-on), authorization, credential, conversion, auditing, and delegation.

Typically, a grid infrastructure has operational autonomy, which ensures greater security controls and protocols. However, offering a protection layer to grid infrastructure is a time-eating process.

Cloud Computing:

For apparent reasons (relative homogeneity of cloud systems), cloud security models are exceedingly easier and much less comfy than grid computing.

It is a matter of mutual information where the provider guarantees the patron’s information and applications’ safety. Private cloud (where the infrastructure is dedicated to an unmarried customer) and network cloud (cloud infrastructure shared between a finite set of a couple of clients) are powerful ways to restrict access to authorized, confined wide variety of customers.

Cloud infrastructure typically use Web forms (over Secured Sockets Layer (SSL)) to create and manage account facts for quit-users. Encrypted communications make sure comfortable identity and password control.

Some Potential Issues

Grid Computing:

– Is there a possibility of lesser complexity in constructing grids?

– Is there a possibility of growing ubiquitous requirements for grid infrastructure?

Cloud Computing:

– Does the cloud company have a disaster control and recovery mechanism in place to address the lack of purchaser’s data?

– Is there a backup/contingency plan in case of disasters to ensure enterprise continuity?

– What if the cloud issuer exits the commercial enterprise or is received using any other organization? What takes place in the purchaser’s records and cloud operations?


Grid Computing:

– The European Organization for Nuclear Research (CERN) is one of the leading companies walking essential grid computing initiatives such as studying chemicals inside the look for potential pills for sicknesses including avian flu.

– SETI (Search for Extraterrestrial Intelligence) @Home assignment is one of the earliest grid projects that downloads and analyzes statistics from a radio telescope. Participants certainly need to download and run a program to enroll in the grid network.


Cloud Computing:

– Google App Engine, Microsoft Azure, and Amazon EC2 are well-known cloud providers in the public area (they offer offerings to everybody who wishes them over the public Internet).

– Other service vendors consist of the open-source AbiCloud, ElasticHosts, and NASA’s Nebula platform.

From the above dialogue of contrasting elements between grid computing and cloud computing, it is clear that choosing one over the alternative is not a simple matter. The trade-offs involved relate to which capability is maximum suitable for the opposite. It seems as though cloud computing is extra suited to groups seeking to derive cost out of their IT operations in a streamlined style. The agility that includes utilizing services from the cloud enhances its scalability. The grid computing paradigm has been the conventional arena of funded medical studies even though there are rising instances of its use in biomedical, economic, and business studies. It now finds applications in climate modeling and weapons test simulations. In reality, internet serving (serving requests of internet site content material from users located worldwide) is an instance of an industrial application that blessings from the grid infrastructure.

Both computing paradigms are revolutionary; however, they’re both nevertheless immature. Their scalable properties are as promising as is their ability to offer on-call assets. However, each is struggling to conflict with their inherent weaknesses and become possible business options for companies. Experts throughout the board agree that even as cloud computing will not update grids, they may merge, and few even imagine the opportunity of a World Wide Grid!