Grid computers have each node loosely coupled and highly distributed over a wide geographical area, and tend to be highly heterogeneous. Grid computing nodes can be owned by a diverse range of organisations who share access to these resources. Grid Computing started to gain traction in the mid to late 1990s. However, the arrival of Cloud Computing on the scene shifted focus away from Grid computing to the new paradigm of Cloud Computing. Rajkumar Buyya was one of the leading lights in Grid Computing, but today, interest has really faded in Grid Computing in favour of Cloud Computing.
So for MSc research, Cloud would present a better option. I have attached a list of research in each of these areas to give you an idea of the difference in interest between the two.
In Cloud, there are serious challenges still to be overcome in the areas of Cloud Security, Cloud Privacy and Cloud Forensics. Again, I have added a list of papers on each of these areas.
as you know cloud is global concept and grid computing is a special case from its and deals with data grid through a host of middleware applications and services that pull together data and resources from multiple administrative domains and then present it to users upon request. The data in a data grid can be located at a single site or multiple sites where each site can be its own administrative domain governed by a set of security restrictions as to who may access the data, for this I call its as a special case from Cloud , I know importance for cloud computing and storage managements in this environments but i need a specific issues for data grid in grid computing
for this there is cloud computing and grid computing otherwise must be one type not two type for computing (from more than 50 type of computing )
so please, i need Grid Computing research trends and issues within just(grid computing umbrella)
i know whats grid computing and cloud computing because i now study these Materials in Distributed Computing and Database subject in my Msc course
An area you might find interesting is accountability. Cloud security and privacy is not a trivial exercise, and it is not helped by the lack of accountability on the part of the cloud service providers' (CSP) standard service level agreements (SLA). Check out our paper on this, which I attach below. Grid computing, on the other hand, may provide a better level of accountability, which might provide an interesting approach for your MSC, especially if you were to compare and contrast against the shortcomings of cloud accountability. The EU has done some work on this, with the A4Cloud project, and a working party on proposing a new accountable SLA for cloud.
I have also added a list of papers on Grid accountability and on Cloud accountability. You would also be able to get a paper based on your MSC work published as there is an appetite for this kind of research, particularly give the poor track record of the CSPs on accountability.
Regards
Bob
enc
Conference Paper Enhancing Cloud Security and Privacy: Broadening the Service...
Grid computing system is a widely distributed resource for a common goal. It is Brother of Cloud Computing and Sister of Supercomputer. We can think the grid is a distributed system connected to a single network. This types of computing work with the large volume of files. Basically, it is a cluster types system. So people call it cluster computing.
Grid computer tends to be more geographically disperse and heterogeneous by nature. Grid network also has various types. A single grid is like dedicated connection but a common grid perform multiple tasks.
The size of the grid is large. So grid computing is like supercomputing. It consists of many network, computer, and middleware. Grid computer is dedicated to some specific function of the large volume of data. In the grid process, each task divided into a various process. All the process starts execution simultaneously on a different computer. As a result, very few seconds needs to execute and enjoy the flavor of supercomputing.