Techniques for Managing Concurrent Access to Shared Data DEMATEL Method
Authors: Mishra Mahesh Kumar 
Published: February 2025

Managing Simultaneous access to shared data poses a crucial issue in the context of development of multi-threaded or multi-process applications.
Several techniques are employed To uphold data integrity and avert conflicts during concurrent access by multiple entities to shared resources, it is
essential to implement effective measures such as use locks or mutexes to ensure Ensuring consistent access at any given time for a thread or process
is crucial. The focus is solely on the code, allowing access to the designated area is a preventive measure against data corruption. due to simultaneous
writes. Implement semaphores to control access Create a mechanism for controlling access to a shared resource by restricting the concurrent access
of threads or processes. Introduce read-write locks to enable multiple threads to read a shared resource concurrently while guaranteeing exclusive
access for write operations. This enhances concurrency in scenarios with predominantly read access. Use atomic operations and atomic data types
to perform read-modify-write operations in an uninterruptible manner. This eliminates the need for locks in some cases and reduces contention.
Employ transactional memory or database-style transactions to group multiple operations on shared data. This ensures that either all operations
within a transaction are executed, or none of them are, maintaining consistency. Implement optimistic concurrency control mechanisms, where
multiple threads or processes are allowed to perform operations concurrently. Conflicts are detected and resolved at a higher level, such as during
data updates. Research on techniques for managing concurrent access to shared data holds significant importance in the field of computer science
and software development due to Efficient management of concurrent access to shared data is crucial for optimizing system performance. Research
in this area contributes to the development of techniques that allow multiple threads or processes to work concurrently, thereby improving overall
system throughput and responsiveness. As modern applications often need to scale to accommodate increasing loads and user demands, effective
management of concurrent access becomes essential. Research explores methods to scale systems horizontally by efficiently handling shared data
across multiple nodes or cores. The Decision Making Trial and Evaluation Laboratory (DEMATEL) method is a technique used for analyzing and
visualizing the relationships among various factors in a system, helping to identify key factors and their interdependencies. While DEMATEL is
not specifically designed for managing concurrent access to shared data, it can be applied to understand the factors influencing the effectiveness
of different techniques in this context. Here’s a high-level overview of how DEMATEL could be applied. Software Transactional Memory (STM),
Read-Write Locks, Atomic Operations, Thread-Safe Data Structures and Immutable Data. The Rank using the DEMATEL for Techniques for Managing
Concurrent Access to Shared Data. Software Transactional Memory (STM) is got the first rank whereas is the Thread-Safe Data Structures is having
the lowest rank