| Grid computing has made rapid strides during the last few years from their first use in the scientific computing domain to enterprise Grids deploying commercial applications. We believe the next phase of Grid computing will deal with making grid services available to resource constrained appliances such as handheld devices, PDAs, smartphones, and sensors to name a few. Integration between the grid and mobile computing known as the "Mobile Grid," is becoming the new research issue due to the rapid development of radio communications and mobile computing technology. However, to integrate mobile devices with the Grid, mobile devices face some constrained conditions. Specifically, mobile devices experiences low bandwidth, low processing power, low battery capacity, frequent disconnectivity, and relocation issues.The software-intensive systems of today are increasingly shaped by their decentralized, resource-constrained, embedded, autonomic, and mobile (DREAM) computing environments. In this thesis we present GridLite, a software architecture based grid platform suitable for deployment in DREAM environments. GridLite is an extensible framework that provides services to users on ubiquitous, resource-limited devices within a Grid infrastructure. It uses a server infrastructure for provisioning of persistent services, and smart helper services running on the "lite" devices which tap into this infrastructure. One of the goals of GridLite research is to define a Grid architecture which manages these devices such that their resource constraints are minimized by the intelligent Grid infrastructure. This is done by defining new services for managing various resources. Our prototype implementation of GridLite represents an effective and highly effcient marriage of our OODT data grid and Prism-MW architectural middleware solutions. The ultimate goal of GridLite is to extend the reach of the grid all the way to people's "pockets". Our initial experience suggests that this goal is achievable and worthy of furtheractive pursuit.Mobile devices can change their location at any time. The grid broker must know the location of mobile devices in order to use mobile devices as a part of grid resources. Thus, frequent communication between the grid broker and mobile devices is required. As frequent location changes of the MN (Mobile Node) occur, frequent communication between the grid broker and MN is needed. This operation increases the system load of the mobile grid in a limited bandwidth environment. Therefore, a tradeoff between a reduction of in communication traffic and the precise location accuracy of the MN is needed in the mobile grid due to the limited operating environment of the MN. Therefore, this thesis proposes an adaptive distance filter that can effectively reduce communication traffic between the mobile grid node and grid broker. This filter constructs clusters based on the mobility and velocity of the grid node and filters the location updates. However, the reduction of location updates generates location errors,whick occur when the grid broker cannot acquire the exact location of mobile nodes. To solve this problem,if the location updates are filtered,the grid broker can estimate method. For the performance evaluation of the adaptive distance filter,we modeled the mobility of the grid nodes by NS2.This thesis is supported by National Natural Science Foundation of China (No: 60773211,60970064), Open Fund of the State Key Laboratory of Software Development Environment (No:SKLSDE-2009KF-2-02),New Century Excellent Talents in university (No:NCET-08-0806)Fok Ying-Tong Education Foundation for Young Teachers in Higher Education Institutions of China (No:121067) and the National Science Foundation of HuBei Province under Grant No.2008CDB335,NSF of Wuhan Municipality (No:201010621207). |
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