Byzantine fault tolerance

Introduction Faults occur in every system which may halt the systems functionality. A fault that presents different symptoms to different observers is called a Byzantine fault. These Byzantine faults form the reason for the loss of a system service and are called Byzantine failures. A Byzantine failure may occur due to arbitrary problems like corruption in their local state, production of incorrect outputs or by processing requests incorrectly instead of the general situations like crashing or stopping

PERFOMANCE ANALYSIS AND FAULT TOLERENCE OF SOFTWARE ENVIRONMENT S. Umamageswri* & T. Arulselvam** * Assistant Professor, Department of Computer Science, Thiru Kolanjiappar Government Arts College, Vridhachalam, Tamilnadu ** Assistant Professor, Department of Computer Science, Thiru Kolanjiappar Government Arts College, Vridhachalam, Tamilnadu Abstract Fault tolerance is the characteristic of a system that tolerates the class of failures. It will analysis the performance and enables a system to continue

The mechanism called fault tolerance is nothing but process which allows system (frequently software based) to continue working properly in case of failure of its components (one or more faults) on MPI (message passing interface). In HPC systems like grid computing, cloud computing etc. fault tolerance method highly applicable in order to ensure that long operating applications are finished their tasks according to time. Therefore, there are different types of fault tolerance methods introduced in

Fuzzy logic based N Version Programming for improving Software Fault Tolerance Introduction: The N-version software concept attempts to parallel the traditional hardware fault tolerance concept of N-way redundant hardware. In an N-version software system, each module is made with up to N different implementations. Each variant accomplishes the same task, but hopefully in a different way. Each version then submits its answer to voter or decider which determines the correct answer, (hopefully

Fault Tolerance – Application Software Introduction Today's business requirements drive the necessity for software applications that enable organizations to maintain constant and continuous availability. We are living in a 24/7 world. Brick and mortar businesses that only needed to worry about the security of their hard assets after closing for the day now have websites allowing customers to shop online at their convenience. Simply establishing a web presence is not enough to compete in the

FAULT-TOLERANT COMPUTING “Fault tolerant computing is the art and study of building figuring frameworks that keep on operating agreeably within the sight of issues”. A fault tolerant framework might have the capacity to endure at least one faults including – i) transient, irregular or perpetual equipment faults, ii) programming and equipment plan blunders, iii) administrator mistakes, or iv) remotely prompted upsets or physical harm. A broad technique has been produced in this field in the course

is detected then those values will be sieved out. If divergence occurs among more number of processes then the operation itself will be examined further. Cross-Fault Tolerance (XFT) is new trending protocol that makes BFT more feasible and efficient, also attack model is simplified. [17] Most of the BFT protocols believes in adversary which is used to handle compromised nodes, also message delivery of entire network. To handle such a powerful adversity results complexity and therefore becomes less

Abstract: One of the main reasons to deliver security and privacy for the data in cloud computing is, as it utilizes distributed resources in an unsecured location or environment to allocate their services among people that belong to different organizations [1]. Enlargement in cloud adoption rates will result in increased computing security problems [2]. The greatest terror of cloud clients is that, most of the companies are not relaxed or comfortable accumulating their data and applications on systems

managed effectively by periodic key rotation and re-encryption of data with new keys. • Employees should be not be given more access than what is needed to complete their tasks. Byzantine failure is very common fault in cloud servers, in which a storage server can fail in arbitrary ways. On occurrence of a byzantine failure system responds in an unpredictable way. At the point when

gains the right to add the next block. These complex, algorithm-rich computations can also be called as proof-of-work/stake computations, which make blockchain almost Sybil-resistant, and its decentralized nature gives it a high-level of ‘Byzantine Fault Tolerance’. Complex, algorithm-rich proof-of-work computations also act as the ‘consensus mechanism’ that ensures a high-level of data integrity to the transactions on blockchain and reduces chances of falsified entries. People who use high-computational