We introduce the new Wave model for exposing the temporal relationship among the queries in data-intensive distributed computing. The model defines the notion of query series to capture the recurrent nature of batched computation on periodically updated input streams. This seemingly simple concept captures a significant portion of the queries we observed in a production system. The recurring na...

This article describes a standard API for set of Batched Basic Linear Algebra Subprograms (Batched BLAS or BBLAS). The focus is on many independent operations small matrices that are grouped together and processed by single routine, called routine. in uniformly sized groups, with just one group if all the equal size. aim to provide more efficient, but portable, implementations algorithms high-p...

Bin packing is the problem of partitioning a set of items into subsets of total sizes at most 1. In batched bin packing, items are presented in k batches, such that the items of a batch are presented as a set, to be packed before the next batch. In the disjunctive model, a algorithm must use separate bins for the different batches. We analyze the asymptotic and absolute approximation ratios for...

While computing power and memory size have been steadily increasing as predicted by Moore’s Law, they are still dwarfed by the size of massive data sets resultant from a number of applications. Many problems arising from astrophysics, computational biology, telecommunications, and the Internet often have an amount of accompanying data in the terabyte range. The analysis of this data by classica...

in this paper smart operation of micro energy hub is presented. energy hub system consists of certain energy hubs and interconnectors that are coordinated by energy hub system operator. an energy hub contains several converters and storages to serve demanded services in most efficient manner from available energy carriers. in this paper, the flexibility of energy delivery point is enhanced u...

First, we review an extension of the Erlang Multirate Loss Model (EMLM), namely the multirate batched Poisson loss model, in which calls of each service-class arrive in a link of certain capacity following a batch Poisson process and compete for the available link bandwidth under the Complete Sharing (CS) policy. The batch size is generally distributed while the batch blocking discipline is the...

glioma, as a primary tumor of central nervous system, is the main cause of death in patients with brain cancer. therefore, development of an efficient strategy for treatment of glioma is worthy. the aim of the current study was to develop a srl peptide-coated dendrimer as a novel dual gene delivery system for targeting the lrp receptor, an up-regulated gene in both bbb and glioma cells. to perf...