Deployment of software components: Application to Wireless System

Lecture Notes in Computer Science, 2002

Software deployment comprises activities for installing or updating an already implemented software system. These activities include (1) deployment of a system onto a new host, (2) component upgrade in an existing system, (3) static analysis of the proposed system configuration, and (4) dynamic analysis of the configuration after the deployment. In this paper, we describe an approach that supports all four of these activities. The approach is specifically intended to support software deployment onto networks of distributed, mobile, highly resource constrained devices. Our approach is based on the principles of software architectures. In particular, we leverage our lightweight architectural implementation infrastructure to natively support deployment in resource constrained environments.

13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06), 2006

With significant advances in software development technologies in recent years, it is now possible to have complex software applications, which include a large number of heterogeneous software components distributed over a large network of computers with different computational capabilities. To run such applications, their components must be instantiated on proper hardware resources in their target environments so that some requirements and constraints are met. This process is called software deployment. For large, distributed, component-based applications with many constraints and requirements, it is difficult to do the deployment process manually, and some automated tools and techniques are required. This paper presents a graph-based approach for this purpose that is not dependent on any specific component technology and does the deployment planning with respect to the communication resources required by application components and communication resources available on the hosts in the target environment. In our approach, component-based applications and distributed environments are modeled with the help of graphs. Deployment of an application is then defined as the mapping of the application graph to the target environment graph.

Proceedings. Fourth Working IEEE/IFIP Conference on Software Architecture (WICSA 2004), 2004

Today's wireless networks and devices support the dynamic composition of mobile distributed systems, according to device connectivity. This has in particular led to the introduction of a number of supporting middleware. However, such solutions need to be complemented with adequate modeling and verification support towards enforcing the correctness of the dynamic mobile systems with respect to both functional and non-functional properties. Building on the elegant properties of software architecture modeling, this paper introduces base modeling of mobile software components, which integrates key features of the wireless infrastructure and allows for reasoning about the behavior of dynamically composed systems.

2012

The IP Multimedia Subsystems (IMS) that features in Next Generation Networks (NGN) offers the application developer (third party) abilities to map out applications over mobile telecommunication infrastructure. The IMS comes about with APIs useful for mobile application developers to create applications to meet end-users' demands and comply with the provider's infrastructure set up at the same time. Session Initiation Protocol (SIP) is a signaling protocol for this architecture. It is used for establishing sessions in IP network, making it an ideal candidate for supporting terminal mobility in to deliver the services with improved Quality of Services (QOS). The realization of IMS's virtues as far as software design is concerned is faced by lack of standardizations and methodologies throughout application development process. In this paper, we report on progress on ongoing research by our group toward putting together a platform as a testbed used for NGN application development. We examine a novel component based development model used for SIP based mobile applications. The developed model is to be used as framework for general purpose application development over the testbed. We apply this model on MObile Mass EXamination (MOMEX) system that is an application attracting the interest of educational authorities around the world due to its potential convenience.

Journal of Software, 2011

With significant advances in software development technologies, it is now possible to have complex software applications, which include a large number of heterogeneous software components distributed over a large network of computers with different computational capabilities. To run such applications, their components must be instantiated on proper hardware resources in their target environments so that user requirements and constraints are also met. This process is called software deployment. However, this process is often challenging for large, distributed, component-based applications with many constraints and requirements. This article presents a graph-based deployment approach that does the deployment with respect to the communication resources required by application components and communication resources available on the hosts in the target environment. In our approach, component-based applications and distributed environments are modeled with the help of graphs. Deployment of an application is then defined as the mapping of the application graph to the target environment graph. This article further discusses how this mapping could be done to minimize the cost and to maximize the reliability of deployments.

Although 2G systems quite adequately cater for voice communications, the demand today is for high-speed access to data centric applications and multimedia. Future networks have been designed to provide higher rates for data transmission, but t his will be c omplemented b y higher speed access to services via hotspots using secondary wireless interfaces s uch as Bluetooth or WLAN. With a wide range of applications that may be developed, a g rowing number of short range wireless interfaces that may be deployed, and with mobile terminals of different capabilities, a means to integrate all these variables in order to facilitate provision of services is desirable. This paper describes an architecture involving the use of middleware that makes software development independent of t he specific wireless platform. The advantages of t his approach are also presented. Sample applications for use in n ext generation systems were implemented on a testbed and features of these have been described...

Electronic Notes in Theoretical Computer Science, 2007

Component-based distributed systems are hard to deploy for two main reasons: the complexity of their structure and the complexity of the deployment tasks. Current tools do not manage these complexities properly because the descriptions that they allow lack of expressiveness. The absence of proper descriptions of system and component requirements makes it impossible to ensure safe installation and deinstallation. The goal of this paper is to present a formalization of deployment dependencies. These dependencies expressed in a logical language are associated with a deployment engine that allows installation and deinstallation of components in a system to be proved.

2nd International Conference on Dependability of Computer Systems (DepCoS-RELCOMEX '07), 2007

The deployment of distributed systems is extremely complex. Indeed, software deployment faces significant problems of success and safety. These problems are due to the lack of a unified model, a global architecture for deployment and an explicit dependency representation among the target system and application components. Therefore, we advocate moving from an ad hoc approach to a structured, systematic and safe approach. In this paper, we propose a generic model and an architecture for a dependable deployment.

2020

Use Case 1-Smartphone Reconfiguration 1,2 Use Case 2-Automotive Applications 1.3 Use Case 3-Radio Access Network (RAN) Reconfiguration 1.4 Use Case 4-Internet-of-Things Device Reconfiguration 1.5 Use Case 5-Radio Reconfiguration through an external Component (e.g., USB Stick) 1.6 Use Case 6-Reconfigurable Satellite Telecom Payload 1.7 Use Case 7-Bug-fix and Security Updates 1.8 Use Case 8-Medical Applications 2 The ETSI Software Reconfiguration Solution 2.1 Problem Statement 1: How to transfer and install radio software components to a target platform in a secure way? 2.2 Problem Statement 2: How to enable a user to access to new software components? 2.3 Problem Statement 3: How to deal with device certification in the context of novel radio software components? 2.4 Problem Statement 4: How to achieve software portability and execution efficiency? 2.5 Problem Statement 5: How to enable a gradual evolution towards software reconfigurability? 13 3 ETSI Software Reconfiguration Architecture and differences to State-ofthe-Art solutions 3.1 Legacy approach to software reconfiguration 3.2 The ETSI Technical Approach to Software Reconfiguration 3.3 ETSI software reconfiguration ecoSystem and architecture 4 How the ETSI solution addresses specific challenges 4.1 How to address a gradual increase of platform flexibility over time 4.2 ETSI Security Framework: Security for Software Reconfiguration 4.3 ETSI approach towards execution efficiency and software portability-Radio Virtual Machine 19 4.4 Example application of software reconfiguration in a heterogeneous radio environment20 This White Paper is issued for information only. It does not constitute an official or agreed position of ETSI, nor of its Members. The views expressed are entirely those of the author(s). ETSI declines all responsibility for any errors and any loss or damage resulting from use of the contents of this White Paper. ETSI also declines responsibility for any infringement of any third party's Intellectual Property Rights (IPR), but will be pleased to acknowledge any IPR and correct any infringement of which it is advised.

2007 10th IFIP/IEEE International Symposium on Integrated Network Management, 2007

Software components embedded in ubiquitous systems, especially those using wireless networking, are subject to unpredictable behaviors inherent to using these systems in the physical world. This calls for a runtime management infrastructure to observe and control the components' states and consequently their resulting behaviors. In this paper, we propose a framework for remotely administrating the functional behaviors of software components deployed on wireless devices. This framework is based on components locally managed by internal managers. At the crossroads of the administration system and the wireless application itself, these internal managers master the components' actions by interpreting executable models which themself implement the components' expected behaviors. Besides, high-level managers define and apply management policies to the application's global behavior through the use of these internal managers. Such a coordination occurs through composition.