| Summary: | The main objective of this paper is to keep the strengths of RDBMSs as consistency and ACID properties and at the same time providing the benefits that inspired the NoSQL movement through a middle layer. The proposed middle layer uses a four phase commit protocol to ensure: the use of recent data, the use of the Pessimistic technique to forbid others dealing with data while it is used and the data updates residing in many locations to avoid the loss of data and disappointment. This mechanism is required, especially in distributed database application NoSQL based environment, because allowing conflicting transactions to continue not only wastes constrained computing power and decreases bandwidth, but also exacerbates conflicts. The middle layer keeps tracking all running transactions and manages with other layers the execution of concurrent transactions. This solution will help increase both of the scalability, and throughput. Finally, the experimental results show that the throughput of the system improves on increasing the number of middle layers in scenarios and the amount of updates to read in a transaction increases. Also the data are consistent with executing many transactions related to each other through updating the same data. The scalability and availability of the system is not affected while ensuring strict consistency.
|
|---|
