Fault Tolerant Adaptive Parallel and Distributed Simulation through Functional Replication

This paper presents FT-GAIA, a software-based fault-tolerant parallel and distributed simulation middleware. FT-GAIA has being designed to reliably handle Parallel And Distributed Simulation (PADS) models, which are needed to properly simulate and analyze complex systems arising in any kind of scientific or engineering field. PADS takes advantage of multiple execution units run in multicore processors, cluster of workstations or HPC systems. However, large computing systems, such as HPC systems that include hundreds of thousands of computing nodes, have to handle frequent failures of some components. To cope with this issue, FT-GAIA transparently replicates simulation entities and distributes them on multiple execution nodes. This allows the simulation to tolerate crash-failures of computing nodes. Moreover, FT-GAIA offers some protection against Byzantine failures, since interaction messages among the simulated entities are replicated as well, so that the receiving entity can identify and discard corrupted messages. Results from an analytical model and from an experimental evaluation show that FT-GAIA provides a high degree of fault tolerance, at the cost of a moderate increase in the computational load of the execution units.Comment: arXiv admin note: substantial text overlap with arXiv:1606.0731

Fault-Tolerant Adaptive Parallel and Distributed Simulation

Discrete Event Simulation is a widely used technique that is used to model and analyze complex systems in many fields of science and engineering. The increasingly large size of simulation models poses a serious computational challenge, since the time needed to run a simulation can be prohibitively large. For this reason, Parallel and Distributes Simulation techniques have been proposed to take advantage of multiple execution units which are found in multicore processors, cluster of workstations or HPC systems. The current generation of HPC systems includes hundreds of thousands of computing nodes and a vast amount of ancillary components. Despite improvements in manufacturing processes, failures of some components are frequent, and the situation will get worse as larger systems are built. In this paper we describe FT-GAIA, a software-based fault-tolerant extension of the GAIA/ART\`IS parallel simulation middleware. FT-GAIA transparently replicates simulation entities and distributes them on multiple execution nodes. This allows the simulation to tolerate crash-failures of computing nodes; furthermore, FT-GAIA offers some protection against byzantine failures since synchronization messages are replicated as well, so that the receiving entity can identify and discard corrupted messages. We provide an experimental evaluation of FT-GAIA on a running prototype. Results show that a high degree of fault tolerance can be achieved, at the cost of a moderate increase in the computational load of the execution units.Comment: Proceedings of the IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2016

Selecting effective blockchain solutions

Distributed ledger technologies (DLT) are becoming increasingly popular and seen as a panacea for a wide range of applications. However, it is clear that many organisations, and even engineers, are selecting DLT solutions without fully understanding their power or limitations. Those that make the assessment that blockchain is the best solution are provided little guidance on the vast array of types of blockchain; whether permissioned, permissionless or federated; which consensus algorithm to use; and a range of other considerations. This paper aims to addresses this gap

Design, Implementation and Experiments for Moving Target Defense Framework

The traditional defensive security strategy for distributed systems employs well-established defensive techniques such as; redundancy/replications, firewalls, and encryption to prevent attackers from taking control of the system. However, given sufficient time and resources, all these methods can be defeated, especially when dealing with sophisticated attacks from advanced adversaries that leverage zero-day exploits

Blockchain Enabled Platforms for the Internet of Things

The Blockchain and the Internet of Things (IoT) have gained a lot of attention in the last few years, since both technologies enable the possibility of creating a more connected and independent world. This combination enables the design of computing systems and cyber-physical environments without the need of centralized trusted entities, giving users the freedom and control of their operations, in a decentralized ledger model. By using storing and logging mechanisms supported by the Blockchain, data is immutable and independently audited, guaranteeing that it is neither modified nor deleted. At the same time, applications can benefit from the reliability and fault-tolerance assumptions provided by the Blockchain in supporting transactions between users and involved devices. In this thesis, it was studied and proposed a generic solution for a Blockchain-enabled IoT software architecture. The proposed solution enables the advantages of using decentralized logging and ledgering, without the interference of central authorities, inherently supported by the base Blockchain reliability, availability and security foundations. These capabilities are envisaged as key-benefits for a new generation of clean-slate approaches for IoT applications with the required scalability criteria. The research conducted in the dissertation work, studied the base software foundations, relevant components and implementation options that enable the identified advantages of using Blockchain components and services, to leverage more scalable and trustable IoT platforms. Our proposed solution aims to provide an architecture that contributes to a more appropriate design for secure and reliable IoT systems. In this trend we propose a better use of edge-based support for local-enabled processing environments supporting IoT devices and users’ interactions, with operations intermediated by proximity hubs acting as gateways to the Blockchain, where the operations are regulated and controlled by verifiable smart-contracts involving data and transactions

OS diversity for intrusion tolerance: Myth or reality?

One of the key benefits of using intrusion-tolerant systems is the possibility of ensuring correct behavior in the presence of attacks and intrusions. These security gains are directly dependent on the components exhibiting failure diversity. To what extent failure diversity is observed in practical deployment depends on how diverse are the components that constitute the system. In this paper we present a study with operating systems (OS) vulnerability data from the NIST National Vulnerability Database. We have analyzed the vulnerabilities of 11 different OSes over a period of roughly 15 years, to check how many of these vulnerabilities occur in more than one OS. We found this number to be low for several combinations of OSes. Hence, our analysis provides a strong indication that building a system with diverse OSes may be a useful technique to improve its intrusion tolerance capabilities