In brief, cluster computing is a homogenous network while grid computing is a heterogeneous network. What is Cluster Computing — Definition, Functionality 2. What is Grid Computing — Definition, Functionality 3. In cluster computing, two or more computers work together to solve a problem. Each device in the cluster is called a node. Each node has the same hardware and the same operating system.
Therefore, cluster computing is a homogenous network. All the devices are dedicated to work as a single unit. Figure 1: High-performance Computing Center.
Cluster computing was developed due to a variety of reasons such as availability of low-cost microprocessors , high-speed networks, and software for high performance distributed computing. It is applicable for small business as well as for fast supercomputers. Overall, cluster computing improves performance, and it is cost effective than using a set of individual computers. In grid computing, multiple computers work together to solve a problem.
The devices in the cluster have different hardware and operating system. Therefore, the network in grid computing is heterogeneous. Grid computing is based on distributed computing with non-interactive workloads. Figure 2: Sensor Grid Architecture. In grid computing, the task is divided into several independent subtasks. Each machine on the grid is assigned with a subtask. After completing them, the results are sent to the main machine.
Therefore, each device or node in the grid performs a different task. The devices in grid computing are installed with a special software called middleware. Cluster computing refers to a set of computers or devices that work together so that they can be viewed as a single system. Grid computing is the use of widely distributed computing resources to reach a common goal.
The nodes in cluster computing have the same hardware and same operating system. The nodes in grid computing have different hardware and various operating systems.
This is the main difference between cluster and grid computing. Measurement for Policy. Public Policy and Governance. Innovation in Firms. Innovative Entrepreneurship. Public Sector Innovation. Universities and Public Research Institutes. Financing Innovation. Intellectual Property Rights. Markets, Competition and Standards. Skills for Innovation. Innovation Networks and Clusters. International Linkages. Technology Transfer and Commercialisation.
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