Software-Defined Storage

2018 ◽  
pp. 268-290
Author(s):  
Himanshu Sahu ◽  
Ninni Singh
Keyword(s):  
Decision Making ◽  
It Infrastructure ◽  
Decision Point ◽  
Storage Devices ◽  
Commodity Hardware ◽  
Dynamic Solution ◽  
Storage Solutions ◽  
Data Plane ◽  
User Need ◽  
Three Components

SDS along with SDN and software-defined compute (SDC; where in computing is virtualized and software defined) creates software-defined infrastructure (SDI). SDI is the set of three components—SDN, SDS, and SDC—making a new kind of software-defined IT infrastructure where centralization and virtualization are the main focus. SDI is proposed to have infrastructure developed over commodity hardware and software stack defined over it. SDS is exploiting the same concept of decoupling and centralization in reference to storage solutions as in SDN. The SDN works on decoupling the control plane with the data plane from a layer, three switches, or router, and makes a centralized decision point called the controller. The SDS works in a similar way by moving the decision making from the storage hardware to a centralized server. It helps in developing new and existing storage solutions over the commodity storage devices. The centralization helps to create a better dynamic solution for satisfying the customized user need. The solutions are expected to be cheaper due to the use of commodity hardware.

scholarly journals The Students Decision Making in Solving Discount Problem

2016 ◽  
Vol 9 (7) ◽  
pp. 57 ◽  
Author(s):  
Abdillah Abdillah ◽  
Toto Nusantara ◽  
Subanj Subanj ◽  
Hery Susanto ◽  
Abadyo Abadyo
Keyword(s):  
Decision Making ◽  
Three Components

<p class="apa">This research is reviewing students’ process of decision making intuitively, analytically, and interactively. The research done by using discount problem which specially created to explore student’s intuition, analytically, and interactively. In solving discount problems, researcher exploring student’s decision in determining their attitude which concern in the used of intuitively, analytically, and interactively. Result of this research showing that the student’s decision making in solving discount problem begin with their intuitively, then interactively and continued with analytically; afterward return to intuition, interaction and end up with analytical. Those three components (intuitively, interactively and analytically) repeated occur until obtaining result which is desire.</p>

A model to investigate the effect of information technology and information systems on the ease of managers’ decision-making

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tian Ming ◽  
Wang Teng ◽  
Susan Jodaki
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Information Systems ◽  
Expert Systems ◽  
Equation Modeling ◽  
It Infrastructure ◽  
Statistical Population ◽  
Content Type ◽  
Organizational Variables ◽  
The Impact

Purpose Decision-making and problem-solving are ongoing progressions of evaluating situations or problems, considering substitutes, making choices and following them up with the necessary actions. The relationship between managers’ decision-making and information technology (IT) has long been of interest to researchers. This study aims to examine the changes in novel technologies in facilitating managers’ decisions that influence the quality and timeliness of information and decision-making. Design/methodology/approach The present paper is a descriptive-correlative study in terms of the data collection method and is applicable in terms of purpose. In addition, the library-field method was used to collect information. Because of the target and subject of the research of the statistical population, this research contains all managers of a management organization that are 100 people. The present study is used in the structural equation modeling method to examine causal models and evaluate the reliability and validity of the measurement model. The presented model and the gathered information from the questionnaires were analyzed through SmartPLS software. Findings The results indicate that the IT infrastructure, expert systems, marketing information systems (ISs) and organizational variables significantly influence the ease of managers’ decision-making and considering these dimensions is a step in the success of managers’ decisions. Research limitations/implications This study used a questionnaire to collect information, which may result in some people refusing to provide a real answer and giving an unrealistic answer. This study is also cross-sectional, and therefore, makes it difficult to conclude about causality. In addition, access to statistics and information is one of the significant pillars of research. Practical implications The paper presents useful advice for improving decision-making. In addition, the topic is relevant to the ease of managers’ decisions. A better understanding of the impact of IT infrastructure, expert systems, marketing ISs and organizational variables could significantly enhance managers’ success. Originality/value The ideas and topics discussed are equally applicable to libraries and can provide new insights into the impact of IT infrastructures, expert systems, marketing ISs and organizational variables on the ease of decision makers as a source of competition.

Strategic Experimentation and Knowledge Management

2011 ◽  
pp. 3214-3220
Author(s):  
V. K. Narayanan
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Information Systems ◽  
Strategic Planning ◽  
Market Share ◽  
Process Management ◽  
It Infrastructure ◽  
Creation Process ◽  
Strategic Experimentation ◽  
Routine Tasks

Historically, the focus of IT infrastructure has been to capture the knowledge of experts in a centralized repository (Davenport & Prusak, 1998; Grover & Davenport, 2001). These centralized databases contained knowledge that was explicit and historical (e.g., competitor pricing, market share), and the IT infrastructure served to facilitate functional decision-making or to automate routine tasks (i.e., in re-engineering). The users of technology approached the repository to obtain data in a narrowly defined domain (Broadbent et al. 1999). Consequently, IT originally played a significant yet ultimately limited role in the strategy creation process. Management information systems (MIS) arguably generated information that was less applicable to strategy creation, as noted in early writings on the linkage between MIS and strategic planning (Holmes, 1985; Lientz & Chen, 1981; Shank et al., 1985).

It All Just Piles Up: Challenges to Victim Credibility Accumulate to Influence Sexual Assault Case Processing

2016 ◽  
Vol 34 (15) ◽  
pp. 3151-3170 ◽  
Author(s):  
Melissa Schaefer Morabito ◽  
April Pattavina ◽  
Linda M. Williams
Keyword(s):  
Decision Making ◽  
Los Angeles ◽  
Sexual Assault ◽  
Police Department ◽  
Decision Point ◽  
Case Processing ◽  
Police Decision Making ◽  
Using Data ◽  
Sexual Assault Case ◽  
Sheriff's Department

The underreporting of sexual assault is well known to researchers, practitioners, and victims. When victims do report, their complaints are unlikely to end in arrest or prosecution. Existing research on police discretion suggests that the police decision to arrest for sexual assault offenses can be influenced by a variety of legal and extra-legal factors particularly challenges to victim credibility. Although extant literature examines the effects of individual behaviors on police outcomes, less is known about how the accumulation of these behaviors, attributions, and characteristics affects police decision making. Using data collected from the Los Angeles Police Department and Sheriff’s Department, we examine one police decision point—the arrest to fill this gap in the literature. First, we examine the extent to which the effects of potential challenges to victim credibility, based on victim characteristics and behaviors, influence the arrest decision, and next, how these predictors vary across circumstances. Specifically, we examine how factors that challenge victim credibility affect the likelihood of arrest in sexual assault cases where the victim and offender are strangers, acquaintances, and intimate partners.

HR analytics

2017 ◽  
Vol 25 (7) ◽  
pp. 9-11 ◽  
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Reading Time ◽  
Evidence Based ◽  
It Infrastructure ◽  
Content Type ◽  
The Future ◽  
Pertinent Information ◽  
A Company ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings It was suggested that the future of HR analytics depends on integration within a company. There needs to be an updated and inclusive IT infrastructure for centralized data storing. HR analytics will move from simple statistical reporting to evidence-based predictive decision-making. It was also found that the future of HR analytics might mean it ceases to exist as a separate function, if it is subsumed in a centralized analytics function, overarching all business disciplines. Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

scholarly journals Observing Materiality in Organizations

M n gement ◽  
2020 ◽  
Vol 23 (3) ◽  
pp. 9-27
Author(s):  
Isabelle Royer
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Physical Environment ◽  
Lived Experiences ◽  
Final Section ◽  
Organizational Research ◽  
The Past ◽  
Physical Environments ◽  
Definition Of ◽  
Three Components

Research on materiality has grown rapidly over the past 10 years, highlighting the influence of physical artifacts and spaces in organizations, which had been overshadowed by discursive approaches. This body of research enriches our understanding of organizations in many areas including technology, decision-making, routines, learning, identity, culture, power, and institutions. However, researchers sometimes struggle to select methods suited to study materiality, as previous works have not been explicit in that respect. This article calls organizational researchers interested in physical environments – that is, artifacts and spaces – to integrate observation into their data collection. The first section presents a tripartite definition of the physical environment including activities, conceptions, and lived experiences. Ontological debates are introduced, and observation is proposed as a relevant method for studying materiality in organizational research. The second section presents observation techniques based on three approaches: observing materiality in actions, observing beyond seeing, and making participants observe. Each approach is mainly associated with one of the three components of materiality. The final section discusses the scope of observation techniques, suggests how to combine approaches, and flags difficulties associated with visual techniques.

scholarly journals Information technology integration for accelerated knowledge sharing practices: challenges and prospects for small and medium enterprises

2019 ◽  
Vol 17 (4) ◽  
pp. 131-140 ◽  
Author(s):  
Patrick Ajibade ◽  
Ezra M. Ondari-Okemwa ◽  
Mamadi M. Matlhako
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Knowledge Sharing ◽  
Real Time ◽  
Small And Medium Enterprises ◽  
Global Market ◽  
Strong Positive Correlation ◽  
It Infrastructure ◽  
Business Decision ◽  
Medium Enterprises

This paper argues that business enterprises in this competitive global market cannot compete and remain sustainable without effective knowledge sharing to improve business intelligence processes. The central argument hinges on the deployment and use of information technology (IT) as strategic tools to promote business decision making through quick business data analysis and dissemination of business ideas across business units and locations. The study reiterated the critical role IT plays in facilitating a culture of organizational learning and knowledge sharing practices. The study utilized surveys and questionnaires that were distributed to 230 small and medium enterprises (SMEs), and both descriptive and inferential statistics were used to present the results. Findings showed that firms are still using one-on-one meeting to share knowledge, while knowledge sharing activities are controlled through a rigid and inflexible process at the top management level, thereby hindering knowledge flow that is crucial for real-time decision making. The advances in IT have not been used advantageously to improve knowledge sharing and to advance business management. The paper concludes that without strong positive correlation between IT infrastructure integration, and communication strategies and knowledge sharing, the SMEs may not be able to compete in a highly competitive knowledge economy. Consequently, they may lose leverage to another competitor with more robust and mature IT infrastructure alignment for sharing business analytics and intelligence efficiently. A technologically driven, open, and informal approach to knowledge sharing for productive and innovative engagement is recommended. Furthermore, the use of IT that can promote agile and real-time knowledge sharing is recommended.

Babel

2016 ◽  
Vol 13 (4) ◽  
pp. 36-53 ◽  
Author(s):  
Moisés Quezada-Naquid ◽  
Ricardo Marcelín-Jiménez ◽  
José Luis González-Compeán
Keyword(s):  
Load Balance ◽  
Storage System ◽  
Trade Off ◽  
Data Redundancy ◽  
Storage Devices ◽  
Commodity Hardware ◽  
Allocation Procedure ◽  
Different Types ◽  
And Performance ◽  
Hardware Platforms

The Babel File System is a dependable, scalable and flexible storage system. Among its main features the authors underline the availability of different types of data redundancy, a careful decoupling between data and metadata, a middleware that enforces metadata consistency, and its own load-balance and allocation procedure which adapts to the number and capacities of the supporting storage devices. It can be deployed over different hardware platforms, including commodity hardware. The authors' proposal has been designed to allow developers to settle a trade-off between price and performance, depending on their particular applications.

Strategic Experimentation and Knowledge Management

2005 ◽  
pp. 2627-2631
Author(s):  
V. K. Narayanan
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Information Systems ◽  
Strategic Planning ◽  
Market Share ◽  
Process Management ◽  
It Infrastructure ◽  
Creation Process ◽  
Strategic Experimentation ◽  
Routine Tasks

Historically, the focus of IT infrastructure has been to capture the knowledge of experts in a centralized repository (Davenport & Prusak, 1998; Grover & Davenport, 2001). These centralized databases contained knowledge that was explicit and historical (e.g., competitor pricing, market share), and the IT infrastructure served to facilitate functional decision-making or to automate routine tasks (i.e., in re-engineering). The users of technology approached the repository to obtain data in a narrowly defined domain (Broadbent et al. 1999). Consequently, IT originally played a significant yet ultimately limited role in the strategy creation process. Management information systems (MIS) arguably generated information that was less applicable to strategy creation, as noted in early writings on the linkage between MIS and strategic planning (Holmes, 1985; Lientz & Chen, 1981; Shank et al., 1985).

scholarly journals Shift in translations: Data work with patient-generated health data in clinical practice

2019 ◽  
Vol 25 (3) ◽  
pp. 577-586 ◽  
Author(s):  
Anna Sigridur Islind ◽  
Tomas Lindroth ◽  
Johan Lundin ◽  
Gunnar Steineck
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Data Collection ◽  
Health Data ◽  
Cancer Rehabilitation ◽  
Active Part ◽  
Rehabilitation Clinic ◽  
Three Components

This article reports on how the introduction of patient-generated health data affects the nurses’ and patients’ data work and unpacks how new forms of data collection trigger shifts in the work with data through translation work. The article is based on a 2.5-year case study examining data work of nurses and patients at a cancer rehabilitation clinic at a Swedish Hospital in which patient-generated health data are gathered by patients and then used outside and within clinical practice for decision-making. The article reports on how data are prepared and translated, that is, made useful by the nurses and patients. Using patient-generated health data alters the data work and how the translation of data is performed. The shift in work has three components: (1) a shift in question tactics, (2) a shift in decision-making, and (3) a shift in distribution. The data become mobile, and the data work becomes distributed when using patient-generated health data as an active part of care.

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