INTELLIGENT GRID DATA MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT

Data Replication-Based Scheduling in Cloud Computing Environment

Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...

Advances in intelligent grid and cloud computing

An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment

Nowadays, processing large-media healthcare data in the cloud has become an effective way of satisfying the medical userschr('39') QoS (quality of service) demands. Providing healthcare for the community is a complex activity that relies heavily on information processing. Such processing can be very costly for organizations. However, processing healthcare data in cloud has become an effective s...

Data Management in Grid Computing

Grid computing is being used in various applications. Many grid applications such as weather forecasting, astrophysics deal with large amounts of data. Data intensive applications involve a high degree of data access locality. In Grid computing environments data storage management on large scale is one of the most challenging issues. Dedicated servers are used for data storage in traditional ap...

Scalable optimization in grid, cloud, and intelligent network computing - foreword

Global optimization in large-scale distributed systems requires massive amounts of computations for complex objective functions. Conventional global optimization based on stochastic algorithms cannot guarantee an actual global optimum with a finite searching iteration. Therefore, scalability is a desirable feature for the optimization techniques in highly distributed dynamic environments, where...