Benchmarking the resilience of self-adaptive software systems perspectives and challenges

Open research online browse by academic unitschool open. Variable capacity heat pumps have the ability to provide a range of sensible cooling, latent cooling and heating output, and therefore have flexibility in how they are sized for a specific application. Thinkmind huso 2018, the fourth international conference on human and social analytics. Self adaptive systems are widely recognized as the future of computer systems. Tests can be written by the testers or the automatic test generators in many different ways and with different goals. An understanding of this new and challenging topic will certainly help to promote their practical application and promotion by the software engineering and. Vieira, benchmarking the resilience of selfadaptive software systems. Testing the robustness of controllers for selfadaptive. Cisuc software engineering for selfadaptive systems. Mar 14, 20 one of the major challenges related to selfadaptive software systems is the provision of assurances that the system is resilient against changes that may occur either in the system or its environment. Abstract benchmarking selfadaptive software systems calls for a new model that takes into account a distinctive character istic of such systems. Selfadaptive software systems are able to modify their own structure andor behaviour at runtime in order to cope with changes.

Networking operations such as selforganization, localization and routing depend on some coordinate system. The following list contains all publications written by members of the reliable software systems group. Architectural stability of selfadaptive software systems. Benchmarking the resilience of selfadaptive software systems. In proceedings of the 6th international symposium on software engineering for adaptive and selfmanaging systems, waikiki, hi, usa, 2324 may 2011. Proceedings of the international symposium on software engineering for adaptive and selfmanaging systems, waikiki, honolulu, hi, usa, pp. In this position paper we discuss the problem of resilience benchmarking of selfadaptive software systems. Center for computing research sandia national laboratories. During software selfadaptation, new components may be incorporated to the software system. Benchmarking the resilience of selfadaptive systems.

Lncs 7475 software engineering for selfadaptive systems. While approaches exist in the literature to capture this new type of requirements formally, their achievement cannot be analyzed in early design phases yet. Architecturebased adaptation architecturebased selfadaptation focuses on using architectural models at runtime as the central abstraction for observation, re. He currently leads the distributed systems security group consisting of more than 30 staff and 50 phd students. From performance to resilience benchmarking request pdf. Due to their dynamic and evolving nature, the characterization of self adaptation and resilience attributes is of utmost importance, but also presents itself as a huge challenge. In 6th international symposium on software engineering for adaptive and selfmanaging systems seams 2011.

Due to their dynamic and evolving nature, the characterization of selfadaptation and resilience attributes is of upmost importance. Reliability, availability and safety of software systems validation and verification faults, errors, failures, defects, bugs software quality and productivity software security dependability, survivability, fault tolerance and resilience of software systems systems. An mtd based self adaptive resilience approach for cloud systems. Controllers are complex components incorporated in self adaptive systems, which are crucial to their function since they are in charge of. Controllers are complex components incorporated in selfadaptive systems, which are crucial to their function since they are in charge of. The answer is taking a software first approach where business models are defined by software and not supported by software. Adaptation impact and environment models for architecture.

Schmidt, addressing software sustainment challenges for the dod, stsc crosstalk, the journal of defense software engineering special issue on legacy systems software, january, volume 27, number 1, 2014, pp. Improving architecturebased selfadaptation through. Resilience in engineering systems and its implementation. Brightwell, ron, invited talk, highperformance networking challenges for exacale systems, workshop on reaching exascale in this decade, december 19, 2010. The number of potential changes that the system and its environment can go through at runtime is virtually unbounded. Service computation 2019, the eleventh international conference on advanced service computing.

His main research focus is on the development and implementation of technologies in the area of distributed systems including cloud, iot and edge computing and social networks, with a specific focus on security, privacy, and trust. Problems as complexity and specific instruments for modeling and control are also presented in a group of papers which identifies a large opening towards the new generation of cps. This can save substantial energy over the traditional method of ventilation which assumes that all spaces in a building are at peak occupancy at all times. Large networks of inexpensive devices such as sensors, actuators and smart rfids deployed over complex 2d and 3d physical spaces will be an integral part of the emerging internet of things. Perspectives and challenges, in 6th international symposium on software engineering for adaptive and selfmanaging systems seams11, 2011. Self adaptive systems are software intensive systems endowed with the ability to respond to a variety of changes that may occur in their environment, goals, or the system itself by adapting their structure and behaviour at runtime in an autonomous way.

Software systems that meet the stakeholders needs and expectations is the ultimate objective of the software provider. An evaluation of the adaptation capabilities in programming. One of the sections is dedicated to the complex problem of designing software systems for distributed information processing networks. Software engineering for selfadaptive systems the imdea. Current approaches to systems development that focus on adaptive methodologies, people instead of roles, and an overall selfadaptive development process best defines.

Improving architecturebased selfadaptation through resource. An mtd based self adaptive resilience approach for cloud. In particular, we focus on resilience properties that enable us to assess. Selfadaptive systems are widely recognized as the future of computer systems. Index terms resilience evaluation, selfadaptive systems, robustness testing techniques, probabilistic model checking. Modeldriven software engineering of self adaptive mechatronic systems. These changes may stem from the software systems self internal causes, e. Compositional verification of selfadaptive cyberphysical systems. Architecturebased resilience evaluation for selfadaptive systems response is collected and aggregated into a probabilistic model of the systems behavior, used to evaluate by comparison alternative adaptation mechanisms. An mtdbased self adaptive resilience approach for cloud systems miguel villarrealvasquez 1, bharat bhargava, pelin angin 2, noor ahmed3, daniel goodwin 4, jason kobes, kory brin 4 1department of computer science, purdue university 2 department of computer engineering, middle east technical university 3 air force research laboratory. Poladian, v tailoring configuration to users tasks under uncertainty, ph. Ieee transactions on dependable and secure computing, 14 1. Modeldriven software engineering of selfadaptive mechatronic systems.

While the benefits of such systems are plenty, their development has shown to be more challenging than traditional software systems. Demand controlled ventilation dcv systems use sensorsgenerally either co 2 or occupancy sensorsto estimate the actual number of people in an area and supply only as much ventilation air as is needed at that time. A framework for managing uncertainty in selfadaptive. Software testing is a critical phase in the software development lifecycle that is used to evaluate the software.

Marco vieira, dependability benchmarking for oltp systems. A systematic mapping study sara hassan, university of birmingham rami bahsoon, university of birmingham rick kazman, soware engineering institute seicmu and university of hawaii microservices have gained wide recognition and acceptance in soware industries as an emerging architectural. A design for adaptation framework for selfadaptive systems. Publications the following list of papers published by the rss group members is kept uptodate by quering our publication database maintained by the university of stuttgart library. The list below identifies several, but certainly not all. F 1 introduction w hat distinguishes a selfadaptive software system from any other system is its ability to continuously deliver its services despite changes that may occur in the system, its environment or its goals. An mtdbased selfadaptive resilience approach for cloud. Importance of management of legal entities under private law of which especially corporate management, as well as looking for ways of its improvement and perfection has become especially relevant in the twentyfirst century, which was greatly. Perspectives on resilience in any kind of critical offshore infrastructure systems includes a ability to repel, resist, or absorb both natural or human made malfunctions, b ability to recover from disruptions like disasters or catastrophic incidents, and c ability to adapt to new or changed conditions as a results of manmade threats or. An increasingly important concern for modern systems design is how best to incorporate self adaptation into systems so as to improve their ability to dynamically respond to faults, resource variation, and changing user needs. Mobile devices selfadapt to available network connections, washing machines adapt to the.

A scalable benchmark as a service platform springerlink. Robustnessdriven resilience evaluation of selfadaptive software systems javier camara, rog. As a consequence, requirementsfor selfadaptive systems are more complex than requirements for static systems as they have to explicitly address properties of the selfadaptation layer. Selfadaptive systems are softwareintensive systems endowed with the. People cisuc center for informatics and systems of the. The topic of self adaptive and self managing systems has been studied in a large number of specific areas, including software architectures, faulttolerant computing, robotics, control systems, programming languages, and biologicallyinspired computing. For example, according to an article published in the journal of economic perspectives in 2017, some stunning statistics came to light. Nino pailodze, ketevan kokrashvili, rusudan kutateladze abstract. Folds lowell scientific enterprises, usa jan ole berndt. Towards antifragile software architectures sciencedirect. Thus, future research directions that are of interest to the resilience clique were demonstrated extensively, casting light on further research directions and stimulating more precious perceptions to clarify and address the research challenges in designing resilience engineering systems.

Raquel almeida and marco vieira, benchmarking the resilience of selfadaptive software systems. Abstractan increasingly important requirement for certain classes of softwareintensive systems is the ability to selfadapt their. Publications, world academy of science, engineering and technology. L tesei, e merelli, n paoletti, multiple levels in selfadaptive complex systems. In proceedings of the 36th international conference on software engineering posters, acm, new york, ny, usa, 2014. The problem is that nowadays there is no practical way to characterize selfadaptation capabilities or to compare alternative solutions concerning resilience. Computationworld 2019 may 05, 2019 to may 09, 2019 venice, italy.

Resilience in engineering systems and its implementation to. Items where division is faculties sciences school of. Current approaches to systems development that focus on adaptive methodologies, people instead of roles, and an overall self adaptive development process best defines. In this paper, we propose a self adaptive resiliency approach for cloud enterprise systems that employs. Cloud computing 2019, the tenth international conference on cloud computing, grids, and virtualization. One of the major challenges related to selfadaptive software systems is the provision of assurances that the system is resilient against changes that may occur either in the system or its environment. This talk will discuss the emerging trends in software development that are collectively called as cloud native computing approach which allows companies to turn ideas to reality in days or weeks rather than months. Scf2 an argumentation semantics for rational human judgments on argument acceptability cramer, marcos.

At run time, the system is monitored through a variety of probes. A methodology for resilient control and monitoring in smart grids. The provision of assurances for selfadaptive systems presents its challenges. Testing the robustness of controllers for selfadaptive systems. Selfscalable benchmarking as a service with automatic. An mtdbased selfadaptive resilience approach for cloud systems. Smart energy control systems for sustainable buildings. Architecturebased resilience evaluation for selfadaptive. While geographic coordinates fit well with our intuitions into physical spaces, their. Benchmarking the resilience of organisations a thesis submitted in partial fulfilment of the requirements for the degree of doctor of philosophy. Pdf evaluation of resilience in selfadaptive systems using. A systematic disturbance analysis method for resilience.

Selfadaptive systems are software intensive systems endowed with the ability to respond to a variety of changes that may occur in their environment, goals, or the system itself by adapting their structure and behaviour at runtime in an autonomous way. These assurances should be based on complementary sources of evidence that collectively justify that the system is able to attain the specified levels of resilience. In response to changes in the environment or requirements, a selfadaptive software system modifies itself to satisfy certain objectives 1, 2. Proceedings of the 6th international symposium on software. Publications chair of software technology tu dresden. Publications world academy of science, engineering and.

We identify a set of key challenges and propose a roadmap to tackle those challenges. In proceedings of the 8th international symposium on so. Computer and systems engineering conferences in 2021. Computer and systems engineering conferences in 2021 is for the researchers, scientists, scholars, engineers, academic, scientific and university practitioners to present research activities that might want to attend events, meetings, seminars, congresses, workshops, summit, and symposiums. It is a self adaptive system architecture improving when facing errors. Embedded realtime software and systems erts 2018 2018. Publications of the reliable software systems group. This calls for designing cloud systems that can accurately detect anomalies and dynamically adapt themselves to keep performing missioncritical functions even under attacks and failures. Info this document is not available in the language you requested.

Traditional methods for residential heat pump sizing allow for sufficient unit performance and comfortable indoor conditions. A statebased approach, of the european conference on complex, 2014 year 20. Changeloads for resilience benchmarking of selfadaptive. An mtdbased selfadaptive resilience approach for cloud systems miguel villarrealvasquez 1, bharat bhargava, pelin angin 2, noor ahmed3, daniel goodwin 4, jason kobes, kory brin 4 1department of computer science, purdue university 2 department of computer engineering, middle east technical university 3 air force research laboratory 4northrop grumman corporation. In this paper, we propose a selfadaptive resiliency approach for cloud enterprise systems.

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