Article history: Received 27 July 2017 Received in revised form 18 January 2018 Accepted 23 January 2018 Available online 31 January 2018

Cloud-scale storage system is an important building block of the cloud infrastructure. It demands the flexibility to distribute data and provide high I/O performance. Consistent hashing algorithm is widely used in large-scale parallel/distributed storage systems for the decentralized design, scalability and adaptability. It can evenly distribute data among nodes but lack efficiency in a heterog...

During the last decades a lot of applied structural recognition problems came to light which might be reduced to consistent labelling problems. The consistent labelling problem and its appropriate fuzzy and probabilistic modifications became a proper formalism for a unified formulation of such problems regardless of their specific applied contents. On the other hand there is no formal construct...

This paper describes a structural method for object alignment by pose clustering. The idea underlying pose clustering is to decompose the objects under consideration into k-tuples of primitive parts. By bringing pairs of k-tuples into correspondence, sets of alignment parameters are estimated. The global alignment corresponds to the set of parameters with maximum votes. The work reported here o...

Distributed hash table (DHT) networks based on consistent hashing functions have an inherent load uneven distribution problem. The objective of DHT load balancing is to balance the workload of the network nodes in proportion to their capacity so as to eliminate traffic bottleneck. It is challenging because of the dynamism, proximity and heterogeneity natures of DHT networks and time-varying loa...

This paper describes an algorithm for selecting a consistent set within the consistent histories approach to quantum mechanics and investigates its properties. The algorithm uses a maximum information principle to select from among the consistent sets formed by projections defined by the Schmidt decomposition. The algorithm unconditionally predicts the possible events in closed quantum systems ...

background: medical image interpolation is recently introduced as a helpful tool to obtain further information via initial available images taken by tomography systems. this information may be useful for better diagnosis of possible lesions or better tumor delineation at radiation treatment. to do this, deformable image registration algorithms are mainly utilized to perform image interpolation ...