Databases Systems & Communication Techniques Applications in Medical Services

The purpose of this study is to offer help to patients through the employment of databases applications of existing and available telecommunication systems in medical services ,particularly treatment. So that it can be possible to avoided what can be avoided of health disasters that a human being encounter without warning. This study examines how modern technologies can be employed in controlling and processing some vital signs of human beings,particulary those who suffer some health problems affiliated with some diseases ,and keeping these problems under control in order to maintain the stability of the patients health statues. The vital signs that the study is applied to are blood pressure, pulse and blood glucose, since any of change in the value of any of these signs, positive or negative, may cause the patient to have a sudden health problems.

Database Integration with Jgroup based on Hibernate A Practical Example

This paper presents a method integrating database with Jgroup based on Hibernate, which is one of Object Relational Mapping tools. We compare between the performance of Jgroup integrated with Hibernate and the performance of RMI integrated with Hibernate. The results show that Jgroup/Hibernate outperforms RMI/Hibernate when the number of clients increases.

Development of Distributed Partitionable Reliable Applications using Jgroup/ARM

The increasing reliance on network systems in day-to-day activities requires that they provide available and reliable services. Jgroup provides available service through creating multiple replicas of the same service on multiple devices. Jgroup achieves reliable service by maintaining the shared state between the replicas and coordinating their activities through Remote Method Invocation. Unlike Jgroup, JavaGroups uses message passing to implement coordination between the replicas. In this paper, we compare Jgroup and JavaGroups for different Group Method Invocation modes. These modes are Anycast and Multicast in Jgroup, GET_FIRST and GET_ALL in JavaGroups. This paper also improves the performance of ARM (Autonomous Replication Management) which is embedded with Jgroup (Jgroup/ARM) for supporting fault tolerance, through finding a new solution to handle group failure where all remaining replicas fail in rapid succession. In this new solution, only one replica (the group leader) issues renew events (IamAlive) periodically, instead of sending it by every replica in the group, with taking the same period to discover group failure by Replication Manager. Results of Comparison show that JavaGroups is faster than Jgroup when a single replica is used, whereas Jgroup outperforms JavaGroups with increasing number of replicas. The invocation delay in JavaGroups increases noticeably with increasing the size of array passed into the invoked method which make JavaGroups unsuitable for applications which require exchanging big sizes of data and use large number of servers, whereas Jgroup is suitable for that. Results show that the new proposal reduces the number of renew events to 37.5% at most, and Jgroup/ARM takes approximately the same period of time to discover group failure as in Meling solution.