Concurrency mechanisms and their applications

Jinx Transport & Logistics Company has 200 employees, mostly loaders, drivers and logistic experts stationed at five main divisions within the city., each divisional office has three workers positioned at each office and the drivers are dispatched from the head office to assist the business operations.

They do have a data-communication system of sorts communicating to each other and to clients through phone calls and commercial e-mail services. The data too is backed up manually. The LANs installed in each office are independent from one another although their central server that supports all the ten workstations acts as the company central database storage.

The company's information system has several problems. This includes the following:

The operating system has a single core OS and single processor, making the system support only a single-core processor. This gives it only one execution making it to have only one Control unit, one Catch memory and a single basic ALU component. Communication is, consequently, slow.

2. The current information systems is also insecure and with a lot of redundancy. There is a lot of data inconsistency, since there is no set standard way of presenting data, other than sending it in spreadsheet format

3. It is also characterized by an undefined way of submitting data, which involves just sending the daily datasheets to the database administrator; some data is consequently frequently lost in the process of sending.

4. Lack of a defined communication system such as that of a company e-mail makes it hard to track communication as well as differentiate significant data from less significant messages.

In short, the system is slow due to time wasted sending data and time taken updating the database; insecure due to use of commercial e-mail service and full of data redundancy and inconsistency

This is where an operating concurrency mechanism can improve issues. Concurrency is the ability of multiple computational processes to run on a single machine with the illusion of simultaneous execution

Concurrency is the ability of multiple computational processes to run on a single machine with the illusion of simultaneous execution. Instead of the one signal single-core processor running the system which causes things to pile up, the system to become blocked, slow, and to cause a traffic jam, the company can switch to concurrency which give is far greater speed and allows them to service their clients faster and communicate with clients and with each other in a more accurate manner. Also important is the fact that important data will not get lost in the process.

Concurrency achieves the following:

Multiprocessing -- this is the managing of multiple tasks in a multiprocessor environment.

Distributed Processing -- it involves management of processes executing on a distributed system.

Multiprogramming -- is where we have multiple processes running within a single processor environment which is the currently employed at Jinx.

The world has become a globalized one and competition is keener than ever. The world too has become faster and for businesses to obtain and retain their clients that have to supply at the moment service, which is both accurate and complete. The company works in ferry parcel business within the New York City and its metropolitan area. They have to be constantly on their feet and fast, accurate and instantaneous in their response. One server is not enough for their expanded distributed offices. They need multiple servers that can concurrently distribute the data thereby facilitating smooth and fast passage of the data and ensuring that all messages arrive in a "just-on-time" process.

Grid Computing.

Grid computing serves a similar process although it helps the company in that it deals with large packets of data. Until now, much of the data has been lost since it has been processed through one single-core processer. Significant and large pieces of data have been crammed in with smaller and more insignificant pieces of data leading to not only data loss but also slowing of system due to the lire' packages' taking up space and, therefore time. This has caused redundancy and blockage of system leading to frequent crashing. The disorganization or hybrid compression also caused insecurity of system due to frequent collapse. The separation, therefore, of large from small chunks of data can simplify and free the system to operate more effectively, efficiently, and securely. This is where the system of grid computing comes in.