Grid computing has recently become one of the most important research topics in the field of
computing. The Grid computing paradigm has gained popularity due to its capability to offer …

The current works about MapReduce task scheduling with deadline constraints neither take
the differences of Map and Reduce task, nor the cluster's heterogeneity into account. This …

E-commerce is growing to represent an increasing share of overall sales revenue, and
online sales are expected to continue growing for the foreseeable future. This growth …

According to exascale computing roadmap, the dynamic nature of new generation scientific
problems needs an undergoing review in the static management of computing resources …

Cloud computing systems provide high-performance computing resources and distributed
storage space to deal with data-intensive computations. Data scheduling between data …

Understanding the I/O characteristics of supercomputers is crucial for grasping accurate I/O
workloads and uncovering potential I/O inefficiency. We collect and analyze I/O traces from …

Grid computing offers the network with large scale computing resources. Load balancing is
effective for balancing the load of large scale heterogeneous grid resources that are typically …

Process-based confidential computing enclaves such as Intel SGX have been proposed for
protecting the confidentiality and integrity of network applications, without the overhead of …

MapReduce framework is becoming more and more popular in various applications.
However, Hadoop is a seriously limited by its MapReduce scheduler which does not work …

Recently, with the improvement of Cloud systems technologies and the essential
advantages they can provide such as availability, scalability, and costs saving; massive …