Umbrella distributed computing project E-governance.

The paper deals with desktop grid systems based on the BOINC platform. Various ways of increasing the efficiency of computations on grid systems are discussed. The umbrella distributed computing project is considered as a convenient tool for conducting various computational experiments. The advantages of the umbrella project ofdistributed computing and the measures for improving the functioning of the umbrella project are described. The test experiments conducted on the E-governance project are listed.

Use of specialized computational devices on the node of the desktop grid system for the solve of combinatorial problems.

The paper discusses the use of specialized Intel Xeon Phi devices in a desktop grid system. As an example of the successful use of specialized devices, the combinatorial problem of finding diagonal Latin squares is given. Features of implementation of the computing application are discussed. The results of work of a computer application in multithreaded modes on different processors andspecialized devices are given.

A Hybrid Batch Mode Fault Tolerance Strategy in Desktop Grids

Desktop grids make use of unused resources of personal computers provided by volunteers to work as a huge processor and make them available to users that need them. The rate of heterogeneity, volatility, and unreliability is higher in case of a desktop grid in comparison to conventional systems. Therefore, the application of fault tolerance strategies becomes an inevitable requirement. In this article, a hybrid fault tolerance strategy is proposed which works in three phases. First, two phases deal with the task and resource scheduling in which appropriate scheduling decisions are taken in order to select the most suitable resource for a task. Even if any failure occurs, it is then recovered in the third phase by using rescheduling and checkpointing. The proposed strategy is compared against existing hybrid fault tolerance scheduling strategies and ensures a 100% success rate and processor utilization and outperforms by a factor of 3.5%, 0.4%, and 0.1% when turnaround time, throughput, and makespan, respectively, are taken into account