Broad Classification of Cases

1998 ◽  
pp. 4-4
Keyword(s):  
2020 ◽  
Vol 13 (3) ◽  
pp. 313-318 ◽  
Author(s):  
Dhanapal Angamuthu ◽  
Nithyanandam Pandian

<P>Background: The cloud computing is the modern trend in high-performance computing. Cloud computing becomes very popular due to its characteristic of available anywhere, elasticity, ease of use, cost-effectiveness, etc. Though the cloud grants various benefits, it has associated issues and challenges to prevent the organizations to adopt the cloud. </P><P> Objective: The objective of this paper is to cover the several perspectives of Cloud Computing. This includes a basic definition of cloud, classification of the cloud based on Delivery and Deployment Model. The broad classification of the issues and challenges faced by the organization to adopt the cloud computing model are explored. Examples for the broad classification are Data Related issues in the cloud, Service availability related issues in cloud, etc. The detailed sub-classifications of each of the issues and challenges discussed. The example sub-classification of the Data Related issues in cloud shall be further classified into Data Security issues, Data Integrity issue, Data location issue, Multitenancy issues, etc. This paper also covers the typical problem of vendor lock-in issue. This article analyzed and described the various possible unique insider attacks in the cloud environment. </P><P> Results: The guideline and recommendations for the different issues and challenges are discussed. The most importantly the potential research areas in the cloud domain are explored. </P><P> Conclusion: This paper discussed the details on cloud computing, classifications and the several issues and challenges faced in adopting the cloud. The guideline and recommendations for issues and challenges are covered. The potential research areas in the cloud domain are captured. This helps the researchers, academicians and industries to focus and address the current challenges faced by the customers.</P>


2011 ◽  
pp. 131-140
Author(s):  
Gloria E Phillips-Wren ◽  
Manuel Mora ◽  
Guisseppi Forgionne

Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing environment (Sprague & Watson, 1996; Turban & Aronson, 1998). Newer intelligent systems, enabled by the advent of the Internet combined with artificial-intelligence (AI) techniques, have extended the reach of DSSs to assist with decisions in real time with multiple informaftion flows and dynamic data across geographical boundaries. All of these systems can be grouped under the broad classification of decision-making support systems (DMSS) and aim to improve human decision making. A DMSS in combination with the human DM can produce better decisions by, for example (Holsapple & Whinston, 1996), supplementing the DM’s abilities; aiding one or more of Simon’s (1997) phases of intelligence, design, and choice in decision making; facilitating problem solving; assisting with unstructured or semistructured problems (Keen & Scott Morton, 1978); providing expert guidance; and managing knowledge. Yet, the specific contribution of a DMSS toward improving decisions remains difficult to quantify.


Author(s):  
Gloria E. Phillips-Wren ◽  
Manuel Mora ◽  
Guisseppi Forgionne

Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing environment (Sprague & Watson, 1996; Turban & Aronson, 1998). Newer intelligent systems, enabled by the advent of the Internet combined with artificial-intelligence (AI) techniques, have extended the reach of DSSs to assist with decisions in real time with multiple informaftion flows and dynamic data across geographical boundaries. All of these systems can be grouped under the broad classification of decision-making support systems (DMSS) and aim to improve human decision making. A DMSS in combination with the human DM can produce better decisions by, for example (Holsapple & Whinston, 1996), supplementing the DM’s abilities; aiding one or more of Simon’s (1997) phases of intelligence, design, and choice in decision making; facilitating problem solving; assisting with unstructured or semistructured problems (Keen & Scott Morton, 1978); providing expert guidance; and managing knowledge. Yet, the specific contribution of a DMSS toward improving decisions remains difficult to quantify.


Atmospheric pollutants may damage, directly or indirectly, human life and health, other living organisms and complete ecosystems, human artefacts, and climatic conditions. The development of appropriate policies and methods for control of pollution requires, inter alia , an assessment of the routes taken by pollutants or their precursors through the atmosphere. Consideration of these routes leads to a broad classification on a local, regional or global basis associated mainly, but not exclusively, with the terrestrial boundary layer, with the troposphere and with the stratosphere respectively. This may require in some cases the perspective of total biogeochemical cycles, and in any event of the relative importance of man-made and natural sources of materials to be regarded as pollutants.


1959 ◽  
Vol 34 (3) ◽  
pp. 210-226 ◽  
Author(s):  
R. H. Whittaker
Keyword(s):  

1987 ◽  
Vol 38 (2) ◽  
pp. 355 ◽  
Author(s):  
D Gramshaw ◽  
BC Pengelly ◽  
FW Muller ◽  
WAT Harding ◽  
RJ Williams

A collection of 121 accessions of the legume genus Alysicnrpus was grown out and classified using morphological and agronomic attributes. Nineteen morphological-agronomic groups were identified and matched, where possible, to previous taxonomic classifications. Substantial diversity was found for perenniality, plant habit, flowering and pod maturity dates, seed size, pod shape and pod surface sculpture and for attributes involving dimensions of plant parts. Confusion in previous species naming was also apparent. The value of a broad classification of a large collection of plants as a prelude and aid to subsequent research is highlighted, and the possible agronomic potential of the morphological-agronomic groups also considered.


1993 ◽  
Vol 31 (7) ◽  
pp. 25-27

Drugs that affect 5-hydroxytryptamine (5-HT; serotonin) systems are used to treat a wide range of conditions including migraine, depression, anxiety, obsessive compulsive disorders, obesity, and chemotherapy-induced nausea and vomiting; some are also ‘recreational’. This article provides a broad classification of 5-HT receptors and the drugs that affect their function.


Author(s):  
Charikleia Kapellidi

AbstractSince the first description of classroom talk from a conversation analytic perspective, the field has significantly expanded, providing a comprehensive account of the system that operates in the specific setting. However, apart from the system that defines the boundaries of the participants’ permissible conduct, the departures from it have received little attention, forming a vague picture of the parties’ opportunities for deviant behavior. The present paper explores exactly this aspect, illuminating the other side of the coin. In particular, students’ departures from the canonical pattern are examined and a broad classification of them (institutionally oriented versus institution-threatening departures) is proposed. The analysis demonstrates the import of those departures and the way they contribute to students’ exercise of agency.


Sign in / Sign up

Export Citation Format

Share Document