International Journal of Computer & Information Sciences
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Gemini: A Novel Hardware and Software Implementation of High-performance PCIe SSD
International Journal of Computer & Information Sciences - Tập 45 - Trang 923-945 - 2016
In the era of big data, high-bandwidth and high-concurrency architecture of
storage systems is urgently needed. Due to the superiority in power consumption,
random access rate and shock resistance, NAND flash memory is popularly adopted
in enterprise-class storage systems, and gradually takes the place of
traditional hard disk. However, this kind of superiority is not off-the-shelf.
Several factor...
On the solution of multiattribute problems involving counting in intersecting sets
International Journal of Computer & Information Sciences - Tập 6 - Trang 1-7 - 1977
A method is presented for computing the number of elements in any collection of
sets derived from other sets by statements that are reducible to conjunctions,
disjunctions, and complementations. The technique also detects certain
inconsistencies that may be present in the given data. The method is applicable
to a wide range of problems in computer science, actuarial studies, survey
statistics, and...
Important announcement
International Journal of Computer & Information Sciences - Tập 8 - Trang 1-1 - 1979
Big Data Processing using Internet of Software Defined Things in Smart Cities
International Journal of Computer & Information Sciences - Tập 48 - Trang 178-191 - 2018
Software Defined Networks (SDN) has been attracting researchers, scientist, and
technology experts from both academia and industry to enhance the current ICT
stakes and networking paradigm. The beauty of SDN is the division of Control and
Data planes and make it easy for the engineers to modify the networking
protocols without visiting onsite devices. Similarly, smart cities concept has
been coine...
Developing an Efficient Pattern Discovery Method for CPU Utilizations of Computers
International Journal of Computer & Information Sciences - Tập 45 - Trang 853-878 - 2016
Mining repeated patterns (often called motifs) in CPU utilization of computers
(also called CPU host load) is of fundamental importance. Many recently emerging
applications running on high performance computing systems rely on motif
discovery for various purposes, including efficient task scheduling, energy
saving, etc. In this paper, we propose an efficient motif discovery framework
for CPU host ...
Guest Editor Introduction: Special Issue on High Performance Computing for High Productivity Environments
International Journal of Computer & Information Sciences - Tập 37 - Trang 1-2 - 2009
The Architectural and Operating System Implications on the Performance of Synchronization on ccNUMA Multiprocessors
International Journal of Computer & Information Sciences - - 2001
This paper investigates the performance of synchronization algorithms on ccNUMA
multiprocessors, from the perspectives of the architecture and the operating
system. In contrast with previous related studies that emphasized the relative
performance of synchronization algorithms, this paper takes a new approach by
analyzing the sources of synchronization latency on ccNUMA architectures and how
can t...
A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures
International Journal of Computer & Information Sciences - Tập 50 - Trang 115-151 - 2021
While heterogeneous architectures are increasing popular with High Performance
Computing systems, their effectiveness depends on how efficient the scheduler is
at allocating workloads onto appropriate computing devices and how communication
and computation can be overlapped. With different types of resources integrated
into one system, the complexity of the scheduler correspondingly increases.
Mor...
Fine-Grained Power Modeling of Multicore Processors Using FFNNs
International Journal of Computer & Information Sciences - Tập 50 - Trang 243-266 - 2022
To minimize power consumption while maximizing performance, today’s multicore
processors rely on fine-grained run-time dynamic power information—both in the
time domain, e.g. $$\mu $$ s to ms, and space domain, e.g. core-level. The
state-of-the-art for deriving such power information is mainly based on
predetermined power models which use linear modeling techniques to determine the
core-performan...
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