Big Data Centre

Motilal Nehru National Institude of Technology Allahabad

Allahabad, UP-211004

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Cloud Computing

The emergence of cloud computing services has led to it’s use growing across different fields. Cloud Computing is the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. Simply put, cloud computing is the delivery of computing services, servers, storage, databases, networking, software, analytics and more, over the Internet (the cloud). Since, the burden of maintaining physical server is with the service provider, user is free from the burden of maintenance. Also, the services can be accessed from anywhere through Internet hence availability and accessibility is improved.

Private Cloud @ MNNIT

There are various computing need of a particular user, especially in a technical institution, which cannot be satisfied with personal computers. These include short term but high performance computing needs, large and accessible storage, hosting live web servers and many more.

At MNNIT, we have various kinds of computing resources which are not in constant deployment. Resource deployment and optimization can achieved through cloud computing. Here, we provide various cloud services to our users. These services include.

  • Infrastructure as a Service : (IaaS) is provided in form of Virtual Machines that can be requested by user according to her prescribed specification in terms of Dynamic Memory Required, Storage Required, and VCPUs to be allocated. These Virtual Machines can be used for various purposes including computing tasks and hosting live web servers for specified time. VMs can provide both computing power as well as storage, hence, are suitable for these requirements. The specification of the Virtual Machine changes according to the purpose. The VMs are fail-safe and easily accessible through remote login.
  • Hadoop as a Service : At Big Data Center, there is a frequent requirements of Hadoop clusters for Big data processing. Hence, we provide Hadoop Platform enabled Virtual Machine clusters which are pre-configured for usage. The user can request the number of VMs required in the cluster. The user provides the specification of VMs in the cluster or the standard specifications are used. The VM clusters can used as per requirement and then added back to the resource pool when complete. The resources can be further utilised for other works.
  • Storage as a Service : A user can have large storage requirements such that data is easily accessible, available and secure. User can also require shared storage so that a group of users can access and modify data depending upon access privilege. We can allow users to decide a upper limit storage capacity required and allocate the amount to them.