Replication is the prevalent solution to tolerate faults in large data structures hosted on
distributed servers. To tolerate f crash faults (dead/unresponsive data structures) among n …

We first propose an MPD-Model, a novel distributed multipreference-driven data fusion
model for WSNs. Here, preferences are looked as the core elements of collaboration …

Replication is a standard technique for fault tolerance in distributed systems modeled as
deterministic finite state machines (DFSMs or machines). To correct ff crash or ⌊ f/2 ⌋⌊ f/2⌋ …

To tolerate the crash faults among many different data structures which requires replication
of every data structure, resulting in some number of additional or extra backups. It is to …

Distributed systems are rapidly increasing in importance due to the need for scalable
computations on huge volumes of data. This fact is reflected in many real-world distributed …

This report compares two strategies for crash fault tolerance of nodes in distributed systems:
active replication and fusion. To tolerate f crash faults, active replication maintains f backup …

Abstract Rich Internet Applications (RIAs) have been widely used in the web over the last
decade as they were found to be responsive and user-friendly compared to traditional web …

Standard recovery solution on a failed task in Hadoop systems is to execute the task again.
After retrying for a configured number of times, it is marked as failure. With significant amount …