As the world progresses and technology continues to advance, challenges will also continue in database systems. In order to be competitive, organizations have shifted toward the ideal of being able to access work information anywhere in the world. It is vital to organizations to be able to access company information in real time to assure timeliness and accuracy before making decisions. While there are many advantages for having complete access, there are some disadvantages. Ibikunle and Adegbenjo's article titled, "Management Issues and Challenges in Mobile Database Systems," addresses challenges that mobile database systems will incur as we continue to move forward with technological advancements. The first challenge is limited storage/limited …show more content…
Poor battery life and the constraints of it is common knowledge in regards to mobile devices. Although a solution is to buy either a better quality battery or several batteries to ensure you have enough power, that can be costly and still not enough. Finally, there is the issue of connectivity or lack of connectivity. The authors state that, "Interaction between a mobile device and a database is directly affected by the device’s network connectivity." (Ibikunle, & Adegbenjo, 2013, p.5) Without a strong consistent signal, the user will undergo problems. With these issues in mind, what is the goal of a mobile database system? "A common goal in mobile database systems is to minimize the amount of data transmitted over the wireless link between the servers to the mobile client." (Ibikunle, & Adegbenjo, 2013, p.3) However, there can be many mobile clients that have access to this information and having the most current information is imperative. Conventional databases would not work for mobile devices and their specifications, therefore a better option is adopted. By using real time database frameworks the organization's goal will be accomplished. "The main purpose of a real time database is to process transactions on time, while maintaining logical and temporal consistency of data." (Diallo, Rodrigues, Sene, & Lloret, 2014,