Dear Sirs, dear Madams,

 

this is to announce issue 3 of the third volume of IJARAS, the International Journal of Adaptive, Resilient, and Autonomic Systems. Please find herein the table of contents and abstracts for IJARAS (3)3. You will also find at the bottom the call for papers for next issues of IJARAS.

 

IJARAS is now in its third year of publication, during which it hosted many an important contribution from top-notch scholars from all over the world. A sample of this may be found in this very issue.

 

Please consider that an Advances Book Series is now associated with IJARAS: Advances in Adaptive, Resilient and Autonomic Systems (AARAS). This means that all papers published in IJARAS will also appear (possibly extended) as chapters in the volumes in this series. The first volume of this new series is available from March 2012 as "Technological Innovations in Adaptive and Dependable Systems: Advancing Models and Concepts" and may be ordered here: http://www.igi-global.com/book/technological-innovations-adaptive-dependable-systems/59728

A second volume, entitled "Innovations and Approaches for Resilient and Adaptive Systems," shall be available from September 2012. An announcement of this second volume is available here: http://www.igi-global.com/book/innovations-approaches-resilient-adaptive-systems/66376

 

 

Kind regards,

Vincenzo De Florio

 

 

IJARAS, Volume 3, Issue No.3

Table of Contents

 

“User Models for Adaptive Information Retrieval on the Web: Towards an Interoperable and Semantic Model,” by M. Chevalier, C. Julien (Université Toulouse 3 Paul Sabatier, Toulouse, France), C. Soulé-Dupuy (Université Toulouse 1 Capitole, Toulouse, France)
Abstract: Searching information can be realized thanks to specific tools called Information Retrieval Systems IRS (also called “search engines”). To provide more accurate results to users, most of such systems offer personalization features. To do this, each system models a user in order to adapt search results that will be displayed. In a multi-application context (e.g. when using several search engines for a unique query), personalization techniques can be considered as limited because the user model (also called profile) is incomplete since it does not exploit actions/queries coming from other search engines. So, sharing user models between several search engines is a challenge in order to provide more efficient personalization techniques. A semantic architecture for user profile interoperability is proposed to reach this goal. This architecture is also important because it can be used in many other contexts to share various resources models, for instance a document model, between applications. It is also ensuring the possibility for every system to keep its own representation of each resource while providing a solution to easily share it.

 

“How to Trust: A Model for Trust Decision Making,” by M. Felici (The University of Edinburgh, UK)

Abstract: This paper concerns decision-making processes that rely on trust. In particular, it analyzes how different aspects of trust (e.g. trust, trustworthiness, trustworthy evidence) influence trust decisions, and acting on them eventually. It proposes a trust decision model that structures the analysis of contextualized trust problems. Rather than seeking a general definition of trust, this paper advocates the necessity to have a structured way to analyze and characterize situational trust problems systematically. 

 

“A Variable Context Model for  Adaptable Service-Based Applications,” by A. Bucchiarone (Fondazione Bruno Kessler, Trento, Italy), C. Cappiello, E. Di Nitto, B. Pernici, and A. Sondonini (Politecnico di Milano, Milan, Italy)

Abstract: Service-based applications (SBAs) rely on the invocation of services. The use of the service paradigm usually guarantees a high level of flexibility. In fact, applications can be easily reconfigured in order to continuously offer functionalities also in dynamic execution environments. This happens by changing the service selection and their composition. This flexibility can be exploited to design adaptable SBAs able to react to events that could happen during the application lifecycle. The execution flow of adaptable SBAs automatically changes on the basis of the context in which they are executing. The context includes information ranging from the situation in which users access the service-based applications to the status of the components involved in the execution of such

applications. In this paper we propose a way to use context information to adapt SBAs. In particular, our goal is to discuss the way in which the context should be defined and managed in order to be exploited in the various activities related to the adaptation of service-based applications.

 

“RELADO: RELiable and ADaptive Opportunistic Routing Protocol for Wireless Mesh Networks,” R. Bruno, M. Conti (IIT-CNR, Pisa, Italy), M. Nurchis (IMT Lucca, Lucca, Italy)

Abstract: Opportunistic routing is considered as one of the most promising techniques to effectively limit performance degradation in wireless mesh networks caused by unpredictable channel variations and high loss rates. This paradigm defers the selection of the next hop after the packet reception to take advantage of any opportunity provided by broadcast transmissions. Most of the existing opportunistic approaches base the forwarder selection on end-to-end principles. However, in multi-hop wireless environments the cost of a path is not uniformly distributed over space, nor constant over time, hence even two equal-cost paths might present significantly different link quality distributions one from the other. This encourages the use of localized context to implement a more accurate selection of the possible forwarders after each packet transmission. Hence, in this paper we propose RELADO, an adaptive opportunistic routing protocol able to efficiently combine end-to-end with local information to ensure transmission resilience across the network. With this flexibility, RELADO is able to reduce packet loss by ensuring the best trade-off between throughput maximization and packet progress. An extensive set of ns2 simulations confirms the potentiality of RELADO to improve network performance when compared to both legacy unicast and opportunistic routing protocols.

 

“Dual Monitoring Communication for Self-Aware Network-on-Chip: Architecture and Case Study,” L. Guang, E. Nigussie, J. Plosila (University of Turku, Finland), H. Tenhunen (Royal Institute of Technology, Sweden)

Abstract: Self-aware and adaptive Network-on-Chip (NoC) with dual monitoring networks is presented. Proper monitoring interface is an essential prerequisite to adaptive system reconfiguration in parallel on-chip computing. This work proposes a DMC (dual monitoring communication) architecture to support self-awareness on the NoC platform. One type of monitoring communication is integrated with data channel, in order to trace the run-time profile of data communication in high-speed on-chip networking. The other type is separate from the data communication, and is needed to report the run-time profile to the supervising monitor. Direct latency monitoring on mesochronous NoC is presented as a case study. Data message latency is directly traced in the integrated communication with a novel latency monitoring table in each router. The latency information is reported by the separate monitoring communication to the supervising monitor, which reconfigures the system to adjust the latency, for instance by dynamic voltage and frequency scaling. With quantitative evaluation using synthetic traces and real applications, the effectiveness and efficiency of direct latency monitoring with DMC architecture is demonstrated. The area overhead of DMC architecture is estimated to be small in 65nm CMOS technology.

 

 

********************** CALL FOR PAPERS *********************

 

NEXT ISSUES SUBMISSION DATES: September 11, 2012; November 16, 2012.

 

International Journal of Adaptive, Resilient, and Autonomic Systems (IJARAS) – official publication of the Information Resources Management Association

www.igi-global.com/IJARAS

 

Editor-in-Chief:

Vincenzo De Florio, Ph.D. - University of Antwerp and IBBT, Belgium

vincenzo.deflorio at ua.ac.be

 

Published: Quarterly (both in Print and Electronic form)

 

No publication costs are charged to authors, who receive two complimentary copies of the journal.

 

International Editorial Review Board:

- Chris Blondia, University of Antwerp / PATS & IBBT, Belgium

- Gabriella Caporaletti, EICAS automazione, Italy

- Llorenc Cerda-Alabern - Universitat Politecnica de Catalunya - Spain

- Marcello Cinque, Mobilab group, University of Naples

- Domenico Cotroneo, University of Naples, Italy

- Cristiano Di Flora, Nokia Research Center, Finland

- Markus Endler, PUC Rio, Brazil

- Luca Foschini, University of Bologna, Italy

- Eija Kaasinen, VTT, Finland

- Konrad Klockner, Fraunhofer FIT, Germany

- Gianluca Mazzini, University of Ferrara, Italy

- Eric Pardede, La Trobe University, Australia

- Francesca Saglietti, University of Erlangen-Nuremberg, Germany

- Luca Simoncini, University of Pisa, Italy

- Andrew M Tyrrell, University of York, UK

- Josef Van Vaerenbergh, Center for Multidisciplinary Approach and Technology, Belgium

- Yan Zhang, Simula Research Lab, Norway

 

 

MISSION OF IJARAS:

Prospective authors are invited to submit manuscripts for possible publication in the International Journal of Adaptive, Resilient, and Autonomic Systems. The primary objective of IJARAS is to provide worldwide readership to high quality, novel, effective approaches to design, develop, maintain, evaluate, and benchmark adaptive-and-dependable systems, i.e. devices and services that are built to sustain quality of service and quality of experience despite the occurrence of potentially significant and sudden changes or failures in their infrastructure and surrounding environments. IJARAS has multiple focuses, ranging from conceptual models and paradigms to technological aspects.

 

IJARAS builds upon a core mission statement and research direction: The awareness of today's urgent need to structure our computer systems as adaptive systems able to constantly re-optimize in the face of changes both exogenous (environmental) and endogenous (pertaining to internal assets). IJARAS introduces a problem, which implies a research direction – a thesis. The truth about this statement is drastically reverberating through several domains, and in so doing several seemingly unrelated research domains such as cross-layer adaptation for mobile devices and business process re-engineering can be regarded as special cases of a larger theory of systems. This vision paves the way to cross-fertilization; and through that, IJARAS aims at becoming a powerful tool to steer novel ideas and inject new research directions in this area.

 

 

RECOMMENDED TOPICS:

 

IJARAS topics include (but are not limited to) the following ones:

 

* Mechanisms, both general and special-purpose, to  model, design, express, analyze, and develop  adaptive, autonomic and resilient systems;

 

* Analytical and simulation tools to measure a  system's ability to withstand faults and optimally re-adjust to new

  environments;

 

* Robustness, or the emergence of desired properties throughout  system evolution. In particular, emergence of safety;

 

* Conceptual models and paradigms to express and assess evolvability;

 

* Methods, models, and architectures to manage and express strategies and provisions for cross-layer adaptation;

 

* Design-time / run-time methods and tools to identify and enforce optimal trade-offs between energy consumption,

  performance, safety, and security;

 

* Scalable, maintainable, cost-effective provisions, located at all system levels, to achieve adaptability and

  dependability;

 

* Resilience engineering;

 

* Autonomic business process execution;

 

* Adaptive service-oriented computing;

 

* Evolutionary and embryogenic approaches to autonomic computing, resilience, and adaptive systems;

 

* Recovery-oriented computing;

 

* Methods focusing on optimizing quality of experience e.g. adaptive user interfaces;

 

* Adaptive fault-tolerance;

 

* Adaptive fault-masking;

 

* Adaptive data integrity;

 

* Autonomous and adaptive systems in robotics;

 

* Adaptive and context-aware multimedia;

 

* Personalization;

 

* Adaptive data mining;

 

* Adaptive fault models;

 

* Adaptive system models;

 

* Adaptive routing;

 

* Autonomic applications;

 

* Architecture-based adaptation;

 

* "Self-*" systems;

 

* Autonomic, adaptive, and resilient behaviors in embedded systems;

 

* Embedded design practice covering adaptivity, autonomicity, and resilience.

 

 

 

 

SUBMITTING TO IJARAS:

Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL'S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/development/author_info/guidelines%20submission.pdf

 

PRIOR TO SUBMISSION.

All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically to vincenzo.deflorio at ua.ac.be.

 

 

PUBLISHER:

The International Journal of Adaptive, Resilient, and Autonomic Systems is published by IGI Global (formerly Idea Group Inc.), publisher of the 'Information Science Reference' (formerly Idea Group Reference) and 'Medical Information Science Reference' imprints. For additional information regarding the publisher, please visit www.igi-global.com.

 

SUBMISSION:

Authors may submit manuscripts at http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx

Please do send also a copy to vincenzo.deflorio at ua.ac.be

 

 

All inquiries should be should be directed to the attention of:

 

Vincenzo De Florio

Editor-in-Chief

International Journal of Adaptive, Resilient, and Autonomic Systems

E-mail: vincenzo.deflorio at ua.ac.be

www.igi-global.com/IJARAS

************************************************************

 

Kind regards,

 

Vincenzo De Florio.