Connected Limited Device Configuration Research Articles

Exploiting Need of Heterogeneous Data Mining Environment Based on Mobile Computing Environments

the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we discuss and analyze the consumptive behavior based on data mining technology. We discuss and analyze different aspects of data mining techniques and their behavior in mobile devices. We also analyze the better method or rule of data mining services which is more suitable for mobile devices. In this paper, we survey several aspects of open service framework based on grid structure which provides the heterogeneous environment for data mining on mobile computing environments. discovering frequent user's behavior patterns in the mobile agent system have been studied extensively in recent years. The key feature in most of these algorithms is that they use a dataset and frequent Item-Sets visited by the customers. In this case, some problems occur because they do not consider that mobile user's behavior patterns are dynamically variable as time passes. In this paper we discuss some of the data mining service which are use in different areas and then apply those services to mobile devices and then apply those DMS services in mobile computing and exploiting the need of DMS in mobile computing environments using CLDC and MIDP components. The Connected, Limited Device Configuration (CLDC) and the Mobile Information Device Profile (MIDP) have emerged as J2ME standards for mobile phone applications development which are used with DMS services. The role of CLDC and MIDP component is to apply Data Mining Services in mobile. Data Mining Services are useful in several sectors including Mobile, WWW, HealthCare scenario etc. We discuss several aspects step-by-step in this paper and analyze those aspects and approaches sequentially. Discuss their advantages and disadvantages and conclude with new concept.

A Survey on Mining services for Better Enhancement in Small HandHeld Devices

This paper presents a case study on data mining services able to support decision makers in strategic planning for the enhancement of small handheld devices. The application provides e-Knowledge services for the analysis of territorial dynamics by processing and modeling huge amount of data, in order to discover rules and patterns in a distributed and heterogeneous content environment. For the analysis of structured data, the application covers the whole Knowledge Discovery process. The purpose of the paper is to show how to implement existing techniques in a flexible architecture for providing new added value services. Finally in our paper, a case study of different data mining task is thrive under different category like in WWW, Mobile environment, PDA Devices, Web log techniques etc. We also use MIDP (Mobile Information device Profile) and CLDC (Connected Limited Device Configuration) of J2ME.

A Hardware Accelerator for JavaTM Platforms on a 130-nm Embedded Processor Core

We have developed a hardware accelerator for Java platforms, integrated on a SuperH microprocessor core, using a 130-nm CMOS process. The Java accelerator, a bytecode translation unit (BTU), is tightly coupled with the CPU to share resources. The BTU supports 159 basic bytecodes and 5 or 6 optional bytecodes. It. supports both connected device configuration (CDC) 1.0 and connected limited device configuration (CLDC) 1.0.4 technologies. The BTU corresponds to the dual-issued superscalar CPU and applies a new method, control-sharing. With this method, the BTU always grasps the pipeline status of the CPU, and the Java program is processed by both the BTU and the CPU. To implement this method, we developed some acceleration techniques: fast branch requests, enhanced CPU instructions, Java runtime exception detection hardware, and fewer overhead cycles of handover between the BTU and the CPU. In particular, the BTU can detect Java runtime exceptions in parallel with other processing, such as an array access. With previous methods, there is a disadvantage in that CPU efficiency decreases for Java-specific processing, such as array index bounds checking. The sample chip was fabricated in Renesas 130-nm, five-layer Cu, dual-vth -low-power CMOS technology. The chip runs at 216 MHz and 1.2 V. The BTU has 75 kG. The benchmark on an evaluation board showed 6.55 embedded caffeine marks (ECM)/MH/. on the CLDC 1.0.4 configuration, a tenfold speed increase without the BTU for roughly the same power consumption. In other words, power savings of 90 percent with the same performance were achieved.

A selective dynamic compiler for embedded Java virtual machines targeting ARM processors

This paper presents a new selective dynamic compilation technique targeting ARM 16/32-bit embedded system processors. This compiler is built inside the J2ME/CLDC (Java 2 Micro Edition for Connected Limited Device Configuration) platform [Sun MicroSystems, Java 2 Platform, Micro Edition, Version 1.0 Connected, Limited Device Configuration, Specification, Technical Report, Sun Microsystems, CA, USA, May 2000]. The primary objective of this work is to elaborate an efficient, lightweight and low-footprint accelerated Java virtual machine ready to be executed on embedded machines. This is achieved by implementing a selective ARM dynamic compiler called Armed E-Bunny into Sun’s Kilobyte Virtual Machine (KVM) [Sun MicroSystems, KVM porting guide, Technical Report, Sun MicroSystems, CA, USA, September 2001]. In this paper we present the motivations, the architecture, the design and the implementation of Armed E-Bunny. The modified KVM is ported on a handheld PDA that is powered with embedded Linux and is tested using standard J2ME benchmarks. The experimental results demonstrate that a speed-up of 360% over the last version of Sun’s KVM is accomplished with a footprint that does not exceed 119 KB. An important result of this paper is also the proposition of an acceleration technique that leverages Armed E-Bunny by establishing a synergy between efficient interpretation and selective dynamic compilation. The main traits of this technique are: a one-pass compilation by code reuse, an efficient threaded interpretation and a fast switching mechanism between the interpreted and compiled modes.

Executable JVM model for analytical reasoning: A study

To study the properties of the Java Virtual Machine (JVM) and Java programs, our research group has produced a series of JVM models written in a functional subset of Common Lisp. In this paper, we present our most complete JVM model from this series, namely, M6, which is derived from a careful study of the J2ME KVM [Connected Limited Device Configuration (CLDC) and the K Virtual Machine, http://java.sun.com/products/cldc/] implementation. On the one hand, our JVM model is a conventional machine emulator. M6 implements dynamic class loading, class initialization and synchronization via monitors. It executes most J2ME CLDC Java programs that do not use any I/O or floating point operations. Engineers may consider M6 an implementation of the JVM. The June 2003 version is implemented with around 10K lines of Lisp in 28 modules. On the other hand, M6 is novel because it allows for analytical reasoning in addition to conventional testing. M6 is written in an applicative (side-effect free) subset of Common Lisp, for which we have given precise meaning in terms of axioms and inference rules. Properties of M6 and its bytecoded programs can be expressed as formulas and proved as theorems. Proofs are constructed interactively with a mechanical theorem prover. Its concreteness, completeness, executability and mechanized reasoning support make our model unique among JVM models. We argue that our approach of building an executable model of the system with an axiomatically described functional language can bring benefits from both the testing and the formal reasoning worlds.

E-Bunny: A Dynamic Compiler for Embedded Java Virtual Machines.

A new acceleration technology for Java embedded virtual machines is presented in this paper. Based on the selective dynamic compilation technique, this technology addresses the J2ME/CLDC (Java 2 Micro Edition for Connected Limited Device Configuration) platform. The primary objective of our work is to come up with an ecient, lightweight and low-footprint accelerated embedded Java Virtual Machine. This is achieved by the means of integrating a selective dynamic compiler that we called E-Bunny into the J2ME/CLDC virtual machine KVM. This paper presents the motivations, the architecture, the design and the implementation issues of E-Bunny and how we addressed them. Experimental results on the performance of our modified KVM demonstrate that we accomplished a speedup of 400% with respect to the Sun’s latest version of KVM. This experimentation was carried on using standard J2ME benchmarks.