Android is a software stack for mobile devices that includes an operating system, middleware and key applications. Android, an open source mobile device platform based on the Linux operating system. It has application Framework,enhanced graphics, integrated web browser, relational database, media support, LibWebCore web browser, wide variety of connectivity and much more applications. Android relies on Linux version 2.6 for core system services such as security, memory management, process management, network stack, and driver model. Architecture of Android consist of Applications. Linux kernel, libraries, application framework, Android Runtime. All applications are written using the Java programming language. Android mobile phone platform is going to be more secure than Apple’s iPhone or any other device in the long run.

Developing techniques for managing and querying the growing body of XML data is becoming increasingly important. A popular approach to evaluating XML queries is to translate them to relational queries and then to use a relational database system to evaluate the result. The XML and relational data models are significantly different, and as a result, the corresponding query languages (XQuery and SQL respectively) also differ significantly. This mismatch raises some interesting questions: (i) From a functionality perspective, is it possible to handle all XML data sets using this approach or are there any fundamental limitations in SQL that create problems? (ii) From a performance perspective, are there any implications on the quality of the SQL queries produced due to this mismatch between the two data models? This paper focuses on query translation, which lies at the core of managing XML data using relational database systems.

Most traditional mobile ad hoc network routing protocols were designed focusing on the efficiency and performance of the network [1]. Ad hoc network are wireless network with no fixed infrastructure in which nodes depend on each other to keep the networked connected. Ant algorithms are a class of swarm intelligence and try to map the solution capability of ant colonies to mathematical and engineering problems. The Ant- Colony-Based Routing Algorithm (ARA) is based on ant algorithms. The main properties of the algorithm are high adaptive, efficiency. In this paper, we compared the performance of ARA routing protocol with different ad hoc on demand routing protocol using performance metrics such as packet delivery ratio, throughput etc.

In this paper, we are concentrating about the role of Virtual Machine with Enviroment. virtual machine helps us to operate multiple OS on the same hardware. At the same time.Virtual machine can support individual processes or complete system.Depending on the abstraction level where virtualization occurs. The Operating System actually running on the hardware is called host operating system and the operating system running in the simulated enviroment is called guest operating system. In this paper, we find that a few simple extension to a host os can make it a much faster platform for running a VM taking advantage of this extension reduce virtualization overhead for a virtual machine to 14-35% overhead even for workloads that exercise the virtual machine intensively.