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This paper presents the concepts and explores issues related to the 3 Time Zones (3TZ) model of software development in global workspace environment. The 3TZ model itself seeks to take advantages of differences in time zones between places around the world. By engaging software development teams in different regions separated by 8 hours each, it is possible for their combined working hours to cover the whole 24 hours period. Thus, while they each work their normal 8 hour days, together they are able to achieve in 1 day what a single team would achieve in 3 days. They are able to achieve this by passing on their work from one team to the next as one finishes their workday and the next team starts their workday. The 3TZ model of software development revolves around the employment of a software development team distributed in at least 3 different locations around the world in 3 different time zones. If work was passed on from one team to the next and adjacent teams were separated by 8 hours, then 24 hours continuous collaborative software development could be achieved. Though this poses many challenges, when dealt with there is great potential for software to be developed much faster than is possible for a single, collocated development team. In the global economy, we have seen a decrease in the barriers towards communication across the globe along with an increase of service availability to support this communication. Software development is one of the disciplines that is capable of effectively utilizing and benefiting from global collaboration prospect lent by ever increasing capability of information and communication technology. 24 hours continuous development is ideal for application towards tasks that have hard deadlines or require work completed as soon as possible. This article will mainly focus on introducing 24/7 global models that can be applied in cloud environment used in three different time zones.
EN
Architects of ad-hoc wireless Sensor-Actor Networks (SANETS) face various problems and challenges. The main limitations relate to aspects such as the number of sensor nodes involved, low bandwidth, management of resources and issues related to energy management. In order for these networks to be functionally proficient, the underlying software system must be able to effectively handle unreliable and dynamic distributed communication, power constraints of wireless devices, failure of hardware devices in hostile environments and the remote allocation of distributed processing tasks throughout the wireless network. The solution must be solved in a highly scalable manner. This paper provides the requirements analysis and presents the design of a software system middleware that provides a scalable solution for ad-hoc sensor network infrastructure made of both stationary and mobile sensors and actuators.
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