Using Tropos to model quality of service for designing distributed systems

2006 ◽  
Author(s):  
S.C. Misra ◽  
S. Misra ◽  
I. Woungang ◽  
P. Mahanti
Keyword(s):  
Quality Of Service ◽  
Distributed Systems ◽  
Model Quality

A Simulation Software for the Evaluation of Vulnerabilities in Reputation Management Systems

2021 ◽  
Vol 37 (1-4) ◽  
pp. 1-30
Author(s):  
Vincenzo Agate ◽  
Alessandra De Paola ◽  
Giuseppe Lo Re ◽  
Marco Morana
Keyword(s):  
Quality Of Service ◽  
Distributed Systems ◽  
State Of The Art ◽  
Simulation Software ◽  
Reputation Management ◽  
Management Systems ◽  
Security Attacks ◽  
Vulnerability Evaluation ◽  
Multi Agent

Multi-agent distributed systems are characterized by autonomous entities that interact with each other to provide, and/or request, different kinds of services. In several contexts, especially when a reward is offered according to the quality of service, individual agents (or coordinated groups) may act in a selfish way. To prevent such behaviours, distributed Reputation Management Systems (RMSs) provide every agent with the capability of computing the reputation of the others according to direct past interactions, as well as indirect opinions reported by their neighbourhood. This last point introduces a weakness on gossiped information that makes RMSs vulnerable to malicious agents’ intent on disseminating false reputation values. Given the variety of application scenarios in which RMSs can be adopted, as well as the multitude of behaviours that agents can implement, designers need RMS evaluation tools that allow them to predict the robustness of the system to security attacks, before its actual deployment. To this aim, we present a simulation software for the vulnerability evaluation of RMSs and illustrate three case studies in which this tool was effectively used to model and assess state-of-the-art RMSs.

Interoperability Frameworks for Distributed Systems

2018 ◽  
pp. 6566-6578 ◽  
Author(s):  
José Carlos Martins Delgado
Keyword(s):  
Quality Of Service ◽  
Distributed Systems ◽  
Legal Issues ◽  
Typical Development ◽  
Coupling Problem ◽  
Development Stages ◽  
Functional Aspects

One of the fundamental problems to tackle when interconnecting distributed systems is to entail the minimum coupling possible while ensuring the minimum interoperability requirements. This article presents a solution to the coupling problem based on the concepts of compliance and conformance, in which compatibility between interacting services does not rely on a shared schema, but rather on the features that are actually used. To help systematizing the various aspects relevant to interoperability, this article proposes a multidimensional interoperability framework, which includes the following dimensions: Lifecycle (with typical development stages), Interoperability (based on compliance and conformance, with various layers of abstraction), and Concerns (to deal with non-functional aspects such as security, quality of service and social and legal issues).

The Challenge of Service Level Scalability for the Cloud

2011 ◽  
Vol 1 (1) ◽  
pp. 34-44 ◽  
Author(s):  
Luis M. Vaquero ◽  
Juan Cáceres ◽  
Daniel Morán
Keyword(s):  
Quality Of Service ◽  
Distributed Systems ◽  
Service Level ◽  
Point Of View ◽  
Economic Sustainability ◽  
Platform As A Service ◽  
Cloud Systems ◽  
Automatic Scaling ◽  
Abstraction Levels

This paper presents a brief overview of the available literature on distributed systems scalability that serves as a justification for presenting some of the most prominent challenges that current Cloud systems need to face in order to deliver their pledged easy-to-use scalability. Through illustrative comparisons and examples, this paper aims to make the reader’s acquaintance with this long needed problem in distributed systems: user-oriented service-level scalability. Scalability issues are analyzed from the Infrastructure as a Service (IaaS) and the Platform as a Service (PaaS) point of view, as they deal with different functions and abstraction levels. Next generation Cloud provisioning models rely on advanced monitoring and automatic scaling decision capabilities to ensure quality of service (QoS), security and economic sustainability.

The Challenge of Service Level Scalability for the Cloud

2013 ◽  
pp. 37-48
Author(s):  
Luis M. Vaquero ◽  
Juan Cáceres ◽  
Daniel Morán
Keyword(s):  
Quality Of Service ◽  
Distributed Systems ◽  
Service Level ◽  
Point Of View ◽  
Infrastructure As A Service ◽  
Platform As A Service ◽  
Cloud Systems ◽  
Automatic Scaling ◽  
Abstraction Levels

This paper presents a brief overview of the available literature on distributed systems scalability that serves as a justification for presenting some of the most prominent challenges that current Cloud systems need to face in order to deliver their pledged easy-to-use scalability. Through illustrative comparisons and examples, this paper aims to make the reader’s acquaintance with this long needed problem in distributed systems: user-oriented service-level scalability. Scalability issues are analyzed from the Infrastructure as a Service (IaaS) and the Platform as a Service (PaaS) point of view, as they deal with different functions and abstraction levels. Next generation Cloud provisioning models rely on advanced monitoring and automatic scaling decision capabilities to ensure quality of service (QoS), security and economic sustainability.

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