Maintenance Operations on Cloud, Edge, and IoT Environments: Taxonomy, Survey, and Research Challenges
The emergence of the Internet of Things (IoT) introduced new classes of applications whose
latency and bandwidth requirements could not be satisfied by the traditional Cloud …
latency and bandwidth requirements could not be satisfied by the traditional Cloud …
Netsolve: A network server for solving computational science problems
This paper presents a new system, called NetSolve, that allows users to access
computational resources, such as hardware and software, distributed across the network …
computational resources, such as hardware and software, distributed across the network …
Recent developments in non-Markovian stochastic Petri nets
Analytical modeling plays a crucial role in the analysis and design of computer systems.
Stochastic Petri Nets represent a powerful paradigm, widely used for such modeling in the …
Stochastic Petri Nets represent a powerful paradigm, widely used for such modeling in the …
The Mobius framework and its implementation
DD Deavours, G Clark, T Courtney… - IEEE Transactions …, 2002 - ieeexplore.ieee.org
The Mobius framework is an environment for supporting multiple modeling formalisms and
solution techniques. Models expressed in formalisms that are compatible with the framework …
solution techniques. Models expressed in formalisms that are compatible with the framework …
Network survivability modeling
Critical services in a telecommunication network should be continuously provided even
when undesirable events like sabotage, natural disasters, or network failures happen. It is …
when undesirable events like sabotage, natural disasters, or network failures happen. It is …
Implementation of symbolic model checking for probabilistic systems
DA Parker - 2003 - etheses.bham.ac.uk
In this thesis, we present efficient implementation techniques for probabilistic model
checking, a method which can be used to analyse probabilistic systems such as randomised …
checking, a method which can be used to analyse probabilistic systems such as randomised …
Scalable analytics for IaaS cloud availability
In a large Infrastructure-as-a-Service (IaaS) cloud, component failures are quite common.
Such failures may lead to occasional system downtime and eventual violation of Service …
Such failures may lead to occasional system downtime and eventual violation of Service …
Modeling and performance analysis of large scale IaaS clouds
For Cloud based services to support enterprise class production workloads, Mainframe like
predictable performance is essential. However, the scale, complexity, and inherent resource …
predictable performance is essential. However, the scale, complexity, and inherent resource …
Dependability and security models
There is a need to quantify system properties methodically. Dependability and security
models have evolved nearly independently. Therefore, it is crucial to develop a classification …
models have evolved nearly independently. Therefore, it is crucial to develop a classification …
Candy: Component-based availability modeling framework for cloud service management using sysml
High-availability assurance of cloud service is a critical and challenging issue for cloud
service providers. To quantify the availability of cloud services from both architectural and …
service providers. To quantify the availability of cloud services from both architectural and …