[PDF] Top 20 High performance recovery for parallel state machine replication

... in parallel state machine replication allow independent commands to be executed concurrently in a ...possibly high volume of commands. In this paper, we have proposed high ... See full document

... the performance of our prototype for some scenarios of interest in context-free workloads, we introduce conflicts in our ...throughput. Performance depends on the amount of concurrency allowed by the ... See full document

... discrete state space and continuous-time Markov ...complex state space is decomposed by assuming processor states stochastically independent and ...system performance due to task ...system ... See full document

... science, replication is the process of creating and managing duplicate versions of ...enhanced performance, greater availability and support for fault ...to replication are either primary-backup ... See full document

... a high level, we propose to use speculative execution techniques to execute operations simultaneously while nonetheless ensuring that their execution is equivalent to having executed the operations sequentially in ... See full document

... Abstract—State machine replication is a fundamental tech- nique to render services fault ...of state machine replication is that replicas must execute operations ...in ... See full document

... the performance of the replicated system is typically worse than of the central- ized ...in parallel may substantially reduce the time needed to corrupt more than f ...in parallel and trying to ... See full document

... allow parallel execution of writes assigned to differ- ent ...best performance was achieved with 4 shards, suggesting that this is the best sharding for this application and workload, ...the state ... See full document

... improve performance in multi-processor systems, some approaches have proposed to parallelize the execution of non-conflicting ...considerable performance loss. Current approaches to parallel SMR define ... See full document

... approach recovery from a different ...rethink recovery in state machine replication and propose a more fundamental ...to parallel state machine ...of ... See full document

... multiplying any binary number by a single binary bit is either 0, or the original number. This makes forming the intermediate partial-products simple and efficient. Summing these partial-products is the time consuming ... See full document

... of high-through- put genotyping with oligonucleotide arrays [22] and pooling [27] has also been applied in plants [33,34], and should accelerate QTL detection compared with traditional single- segregant mapping ... See full document

... to the second when we introduced two more nodes. The performance, as measured by request throughput, increased approximately two-fold. Unfortunately,we could not test further scalability of the platform because ... See full document

... the performance of a program that makes use of parallel findfirst/3 will try to make sure that whenever a predicate is executed, its first alternative is the least resource-intensive, then the second and so ... See full document

... the state education in São Paulo? There seems to exist, beyond what is presented in the foreground, a fundamental reason that maintains this public policy in ... See full document

... Figure 2. Principle of the FPA. (A) Three steps of the FPA. Step 1, the next movement state is a priori predicted from the present state and the neural activity. Step 2, the a priori predicted vector is ... See full document

... Faculta Instâncias adicionais do Hortonworks Data Platform Enterprise Plus para utilização por parte do Cliente durante o mês civil solicitado.. As Instâncias adicionais expiram no fina[r] ... See full document

... Memory Access (NUMA) architecture since a processing node access. to memory can be performed in four different ways[r] ... See full document

... Abstract—In this paper we model macro-economic policies with a Finite State Machine (FSM). The FSM is made of several states and transitions between states, in which a state is modelled by a set of ... See full document

... The requirement for large amounts of training data is one of the main disadvantages of convolutional neural networks, and the reason why they are not a viable solution in many cases. There is, however, a strategy to help ... See full document