A collaborative problem-solving framework for mobile devices

Abstract

The explosive growth in the number of mobile devices such as Internet-enabled cellular phones, wireless handheld devices, wireless laptops, and tablet PCs has driven the corresponding growth in applications for mobile computing. These applications usually belong to one of two classes: collaborative applications and individual application. While collaborative applications require several mobile devices to work together and include peerto-peer computing and grid computing, individual applications are local to the mobile device and its user. In this paper, we present a framework that allows mobile devices to collaboratively work on a computationally-expensive problem.Such a problem is decomposed into smaller tasks and distributed across other mobile devices willing to share their computational power with others. This framework is based on the paradigm of grid computing applied to the domain of wireless mobile devices. This paper presents our current implementation of the framework architecture and simulation of its functionality. Also, we focus on the issues of mobility, QoS and network stability and their effect on the performance of our collaborative problem-solving framework.

A Review on Wireless Grid Computing

“…Recently, researchers have made numerous efforts toward establishing mobile grids. Researchers have proposed various techniques for implementing the mobile grid vision, including centralized and P2P structure, intelligent mobile agents, mobile grid middleware, and many more [10]- [13]. Existing mobile grid projects include Akogrimo (www.mobilegrids.org), and MADAM (www.intermedia.uio.no/display/madam/Home).…”

“…In a resource-sharing environment such as the wireless grid, mobility causes loss of data resulting in potentially erroneous outcomes. The work in [12], [13] described an impact of mobility in wireless grid environment and presented an architecture that tries to minimize the negative effects of mobility.…”

“…In a resource-sharing environment such as the wireless grid, mobility causes loss of data resulting in potentially erroneous outcomes. The work in [12], [13] described an impact of mobility in wireless grid environment and presented an architecture that tries to minimize the negative effects of mobility.• Information Security: Security of the information processed by the application is another main issue. Due to their wireless nature, devices in the grid communicate and pass information over standard radio frequencies that can be easily tapped.…”

Optimizing Operation of a Hierarchical Campus-wide Mobile Grid for Intermittent Wireless Connectivity

“…In the case of creating mobile grids on-site [3], [4], [5], [6], mobile devices residing in a well defined area such as a cell in cellular networks or a WLAN hot-spot (Service Area, SA) are coordinated by a central entity (residing at the Access Point/Base Station, BS) in order to perform a task (computation grid). In this approach, the devices provide the description of their capabilities and the degree of their availability to the BS.…”

“…In effect, it is considered natural to extend the idea of resource sharing to mobile and wireless communication environments. However, there are various, quite different approaches on the exact character of this extension [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]. Their differences mostly rely on whether mobile devices are considered powerful enough to provide their resources or not.…”