scholarly journals Taskoids: A Formal Definition

2019 ◽  
Author(s):  
Anil Kumar Bheemaiah
Keyword(s):  
Cloud Computing ◽  
Code Generation ◽  
Cloud Model ◽  
Computer Assisted ◽  
Future Market ◽  
Formal Definition ◽  
Automated Coding ◽  
Definition Of ◽  
Digital Human

Abstract:A formal definition of taskoids with a future market in trading in work credits with carbon credits and the happiness index clock. Taskoids are defined with a machine genome basis as the quantification of the automation of tasks. They stem from the natural programming, mathematical programming and automated persistence cloud model of computing with computer-assisted code generation. In this paper, we formally define a taskoid and use AWS infrastructure as a service to define IAC rules, encrypted in machine genome to customize solutions using AWS for tasks using a machine genome to transcript YAML or JSON representations.Keywords: Taskoids, Quantification, machine genome, cloud computing, YAML, JSONWhat:Formal Definition of Taskoids. The formal definition of machine genome.Definition and classification of task compatibility as the formulation of automation.Example of an AWS CloudWatch and CloudFormation based JSON based Taskoid.How:Taskoids are meta-programs that use existing codebases and automated coding to encrypt in machine genome a quantIfication of automation.Why:Similar to Soul Machines and Digital DNA of Digital Human designs, we create taskoids with machine genome to easily or automatically configure IAC to an application for a class of task computability.

A Unified Taxonomy Framework of Trust

2011 ◽  
pp. 29-50 ◽  
Author(s):  
Weiliang Zhao ◽  
Vijay Varadharajan ◽  
George Bryan
Keyword(s):  
Trust Management ◽  
Lower Layer ◽  
Mathematical Structure ◽  
Formal Definition ◽  
Trust Relationship ◽  
Base Level ◽  
Trust Relationships ◽  
Analysis Design ◽  
Definition Of

In this chapter, we provide a formal definition of trust relationship with a strict mathematical structure that can reflect many of the commonly used notions of trust. Based on this formal definition, we propose a unified taxonomy framework of trust. Under the taxonomy framework, we discuss classification of trust. In particular, we address the base level authentication trust at the lower layer and a hierarchy of trust relationships at a higher level. We provide a set of definitions, propositions, and operations based on the relations of trust relationships. Then we define and discuss properties of trust direction and trust symmetry. We define the trust scope label in order to describe the scope and diversity of trust relationship. All the definitions about the properties of trust become elements of the unified taxonomy framework of trust. Some example scenarios are provided to illustrate the concepts in the taxonomy framework. The taxonomy framework of trust will provide accurate terms and useful tools for enabling the analysis, design, and implementation of trust. The taxonomy framework of trust is first part of research for the overall methodology of trust relationships and trust management in distributed systems.

Reviews of the Literature

1955 ◽  
Vol 14 (1) ◽  
pp. 34-36
Keyword(s):  
Natural Resources ◽  
Urban Society ◽  
Formal Definition ◽  
Underlying Assumption ◽  
The Core ◽  
Legal Structure ◽  
Political Ideologies ◽  
Central Bond ◽  
Definition Of

This book is meant as an overview of the rapidly increasing literature on "those social roles which arise from the classification of men by the work they do." The core of his problem, Professor Caplow states, is the interplay of such factors as "the availability of natural resources, political ideologies, and the legal structure … with the more or less predictable consequences of the division of labor" (e.g. size, specialization, and rationalization). His underlying assumption, he says, is Durkheim's: occupation is the central bond of solidarity in modern urban society. Neither the formal definition of task nor the underlying assumption are pursued systematically—and, in fact, occupational groupings are later seen as subordinate to "more fundamental affiliations based on kinship, locality, religion, property, and status." (p. 182).

From Mainframe to Cloud

2014 ◽  
pp. 1-30
Author(s):  
Božidar Radenković ◽  
Petar Kočović
Keyword(s):  
Cloud Computing ◽  
Cloud Model ◽  
Educational Institutions ◽  
Network Access ◽  
Configurable Computing ◽  
Context Aware Computing ◽  
Business Applications ◽  
Management Effort ◽  
Definition Of ◽  
The Cost

The adoption of cloud computing accelerated significantly over the past few years, and this trend will remain. As cloud-computing technologies and vendors mature, more educational institutions will adopt the Internet-based computing style. Organizations will use cloud computing to reduce the cost of e-mail, IT infrastructure, data centers and storage, and business applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. The absence of a clear definition of cloud computing is slowing the adoption of cloud computing by needlessly increasing user apprehension and obscuring the cloud's benefits. Organizations need to understand cloud computing before they can realize its benefits and avoid its risks. This chapter clears up confusion about the cloud by defining cloud computing and its characteristics, architectural model, benefits, and shortcomings. This chapter provides the definition of the concept of cloud computing and cloud computing as a service. Subsequently, it explores the characteristics of different types of clouds, as well as the security aspect of this technology. Major trends of cloud computing, such as social computing, context-aware computing, and pattern based strategy, are described. In a conclusion, the authors provide an overview of future use of cloud computing.

From Mainframe to Cloud

2015 ◽  
pp. 116-145
Author(s):  
Božidar Radenković ◽  
Petar Kočović
Keyword(s):  
Cloud Computing ◽  
Cloud Model ◽  
Educational Institutions ◽  
Network Access ◽  
Configurable Computing ◽  
Context Aware Computing ◽  
Business Applications ◽  
Management Effort ◽  
Definition Of ◽  
The Cost

The adoption of cloud computing accelerated significantly over the past few years, and this trend will remain. As cloud-computing technologies and vendors mature, more educational institutions will adopt the Internet-based computing style. Organizations will use cloud computing to reduce the cost of e-mail, IT infrastructure, data centers and storage, and business applications. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. The absence of a clear definition of cloud computing is slowing the adoption of cloud computing by needlessly increasing user apprehension and obscuring the cloud's benefits. Organizations need to understand cloud computing before they can realize its benefits and avoid its risks. This chapter clears up confusion about the cloud by defining cloud computing and its characteristics, architectural model, benefits, and shortcomings. This chapter provides the definition of the concept of cloud computing and cloud computing as a service. Subsequently, it explores the characteristics of different types of clouds, as well as the security aspect of this technology. Major trends of cloud computing, such as social computing, context-aware computing, and pattern based strategy, are described. In a conclusion, the authors provide an overview of future use of cloud computing.

scholarly journals Application Scheduling in Mobile Cloud Computing with Load Balancing

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Xianglin Wei ◽  
Jianhua Fan ◽  
Ziyi Lu ◽  
Ke Ding
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Ant Colony Algorithm ◽  
Mobile Cloud Computing ◽  
Cloud Model ◽  
Mobile Cloud ◽  
Scheduling Problems ◽  
Simulation Experiments ◽  
Definition Of

Mobile cloud computing (MCC) enables the mobile devices to offload their applications to the cloud and thus greatly enriches the types of applications on mobile devices and enhances the quality of service of the applications. Under various circumstances, researchers have put forward several MCC architectures. However, how to reduce the response latency while efficiently utilizing the idle service capacities of the mobile devices still remains a challenge. In this paper, we firstly give a definition of MCC and divide the recently proposed architectures into four categories. Secondly, we present a Hybrid Local Mobile Cloud Model (HLMCM) by extending the Cloudlet architecture. Then, after formulating the application scheduling problems in HLMCM and bringing forward the Hybrid Ant Colony algorithm based Application Scheduling (HACAS) algorithm, we finally validate the efficiency of the HACAS algorithm by simulation experiments.

Benefits of the Cloud for Calibration Management Software Systems

2021 ◽  
Author(s):  
Walter Nowocin ◽  
Keyword(s):  
Cloud Computing ◽  
Environmental Sustainability ◽  
Cloud Model ◽  
Software Systems ◽  
Network Access ◽  
Configurable Computing ◽  
Management Software ◽  
Coordination Costs ◽  
Management Effort ◽  
Definition Of

The National Institute of Standards and Technology (NIST) was directed by the federal government to define cloud computing to assist federal agencies in implementing cloud architectures. In 2011, NIST published NIST SP 800-145 “The NIST Definition of Cloud Computing” and defined cloud computing as: “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models. [1]” Cloud computing is a relatively new IT concept and as such, there is much to learn about the benefits that this business model can bring to organizations. Cloud computing will transform how you do business. The objective of this paper is to explain the benefits of using a cloud architecture for calibration management software systems. The following benefits and topics will be discussed: Work From Anywhere, Always On, Reduced IT Costs, Scalability, Automatic Updates, Reduce Coordination Costs, Improved Quality Control, Disaster Recovery, Environmental Sustainability, Increased Competitiveness, Stronger Security, and Compliance Considerations [2].

Implementing collection classes with monads

1998 ◽  
Vol 8 (3) ◽  
pp. 231-276 ◽  
Author(s):  
ERNIE G. MANES
Keyword(s):  
Category Theory ◽  
Natural Transformation ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Formal Definition ◽  
Axiomatic Theory ◽  
Finite Set ◽  
Definition Of ◽  
The Relationship

In object-oriented programming, there are many notions of ‘collection with members in X’. This paper offers an axiomatic theory of collections based on monads in the category of sets and total functions. Heuristically, the axioms defining a collection monad state that each collection has a finite set of members of X, that pure 1-element collections exist and that a collection of collections flattens to a single collection whose members are the union of the members of the constituent collections. The relationship between monads and universal algebra leads to a formal definition of collection implementation in terms of tree-processing. Ideas from elementary category theory underly the classification of collections. For example, collections can be zipped if and only if the monad's endofunctor preserves pullbacks. Or, a collection can be uniquely specified by its shape and list of data if the morphisms of the Kleisli category of the monad are all deterministic, and the converse holds for commutative monads. Again, a collection monad is ordered if the monad's functor preserves equalizers of monomorphisms (so, in particular, if collections can be zipped the monad is ordered). Every implementable monad is ordered. It is shown using the well-ordering principle that a collection monad is ordered if and only if its functor admits an appropriated list-valued natural transformation that lists the members of each collection.

Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

1996 ◽  
Vol 35 (04/05) ◽  
pp. 334-342 ◽  
Author(s):  
K.-P. Adlassnig ◽  
G. Kolarz ◽  
H. Leitich
Keyword(s):  
Rheumatoid Arthritis ◽  
Reference Model ◽  
American Rheumatism Association ◽  
Uniform Definition ◽  
Sensitivity Rate ◽  
Fuzzy Techniques ◽  
Definition Of ◽  
Different Levels ◽  
Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

ABOUT THE PROBLEM OF CLASSIFICATION OF THE CONCEPTS OF INFORMATICS STUDIED AT SECONDARY SCHOOL

2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko
Keyword(s):  
Secondary School ◽  
Foreign Language ◽  
Computer Science ◽  
Parts Of Speech ◽  
The Third ◽  
The Cross ◽  
Definition Of

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.

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