Astronomy and Computing: a New Journal for the Astronomical Computing Community

We introduce \emph{Astronomy and Computing}, a new journal for the growing population of people working in the domain where astronomy overlaps with computer science and information technology. The journal aims to provide a new communication channel within that community, which is not well served by current journals, and to help secure recognition of its true importance within modern astronomy. In this inaugural editorial, we describe the rationale for creating the journal, outline its scope and ambitions, and seek input from the community in defining in detail how the journal should work towards its high-level goals.Comment: 5 pages, no figures; editorial for first edition of journa

Editorial

This second issue of CIT. Journal of Computing and Information Technology conveys five papers from the regular section, which address topics from diverse areas: cloud computing, spatial databases, searching large amount of information, e-learning systems and software project management.</p

Publishing in Information Systems Journals (Panel)

Interested in publishing your research? Editors from the Journal of Information Systems Education (JISE), Journal of Computer Information Systems (JCIS), Journal of the Association for Information Systems (JAIS), Journal of Information Technology Case Studies and Applications (JITCAR), Journal of Organizational and End User Computing (JOEUC), and Journal of Global Information Technology Management (JGITM) will be hosting a panel on publishing. In this session, you will hear directly from, and ask questions of, editors of these journals as to what they\u27re looking for, how to avoid a rejection or endless R&R\u27s. In addition, each editor will cover the review process and other opportunities to become involved. Attendees are encouraged to ask questions and explore publishing opportunities

Editorial for Vol.30, No.3

The September 2022 issue (Vol. 30, No. 3) of CIT. Journal of Computing and Information Technology brings four papers from the areas of edge computing, financial risk prediction, power demand forecasting, and natural language processing

Editorial for Vol.27, No.3

The five papers comprising the September 2019 (Vol. 27, No. 3) issue of CIT. Journal of Computing and Information Technology cover the areas of applied graph theory, time series, data mining, software engineering and applied computing

Efficient optical quantum information processing

Quantum information offers the promise of being able to perform certain communication and computation tasks that cannot be done with conventional information technology (IT). Optical Quantum Information Processing (QIP) holds particular appeal, since it offers the prospect of communicating and computing with the same type of qubit. Linear optical techniques have been shown to be scalable, but the corresponding quantum computing circuits need many auxiliary resources. Here we present an alternative approach to optical QIP, based on the use of weak cross-Kerr nonlinearities and homodyne measurements. We show how this approach provides the fundamental building blocks for highly efficient non-absorbing single photon number resolving detectors, two qubit parity detectors, Bell state measurements and finally near deterministic control-not (CNOT) gates. These are essential QIP devicesComment: Accepted to the Journal of optics B special issue on optical quantum computation; References update

Editorial for Vol. 25 No. 2

In this issue of CIT. Journal of Computing and Information Technology we bring five papers from diverse fields of computing. Three of them deal with various aspects of networks, while the other two address issues in optimization and semantic text processing

Guest Editorial

This special issue of CIT Journal of Computing and Information Technology on Emerging Web Technologies and Applications presents seven papers covering the broad spectrum of a diverse area

EPOBF: Energy Efficient Allocation of Virtual Machines in High Performance Computing Cloud

Cloud computing has become more popular in provision of computing resources under virtual machine (VM) abstraction for high performance computing (HPC) users to run their applications. A HPC cloud is such cloud computing environment. One of challenges of energy efficient resource allocation for VMs in HPC cloud is tradeoff between minimizing total energy consumption of physical machines (PMs) and satisfying Quality of Service (e.g. performance). On one hand, cloud providers want to maximize their profit by reducing the power cost (e.g. using the smallest number of running PMs). On the other hand, cloud customers (users) want highest performance for their applications. In this paper, we focus on the scenario that scheduler does not know global information about user jobs and user applications in the future. Users will request shortterm resources at fixed start times and non interrupted durations. We then propose a new allocation heuristic (named Energy-aware and Performance per watt oriented Bestfit (EPOBF)) that uses metric of performance per watt to choose which most energy-efficient PM for mapping each VM (e.g. maximum of MIPS per Watt). Using information from Feitelson's Parallel Workload Archive to model HPC jobs, we compare the proposed EPOBF to state of the art heuristics on heterogeneous PMs (each PM has multicore CPU). Simulations show that the EPOBF can reduce significant total energy consumption in comparison with state of the art allocation heuristics.Comment: 10 pages, in Procedings of International Conference on Advanced Computing and Applications, Journal of Science and Technology, Vietnamese Academy of Science and Technology, ISSN 0866-708X, Vol. 51, No. 4B, 201