Decision Support for Cloud Logistics by Optimizing the Quantities of Standby Servers in Cloud Environment

The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic environments, where it is impossible (or impractical) to implement all possible information processing workflows that can be useful for a decision-maker. The chapter proposes the concept of human-computer cloud, providing typical cloud features (elasticity, on demand resource provisioning) to the applications that require human input (so-called human-based applications) and, on top of resource management functionality, a facility for building information processing workflows for ad hoc tasks in an automated way. The chapter discusses main concepts lying behind the proposed cloud environment, as well as its architecture and some implementation details. It is also shown how the proposed human-computer cloud environment solves information and decision support demands in the dynamic and actively developing area of e-tourism.

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Ontology-Based Human-Computer Cloud for Decision Support

Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering ◽

10.4018/978-1-7998-9023-2.ch019 ◽

2021 ◽

pp. 410-430

Author(s):

Alexander Smirnov ◽

Andrew Ponomarev ◽

Nikolay Shilov ◽

Alexey Kashevnik ◽

Nikolay Teslya

Keyword(s):

Information Processing ◽

Decision Support ◽

Service Composition ◽

Support Services ◽

Smart City ◽

Ad Hoc ◽

The Novel ◽

Cloud Environment ◽

Automatic Service Composition ◽

Layer Cloud

A variety of information processing and decision support tasks (especially in the context of smart city or smart tourist destination) rely both on the automated and human-based procedures. The article proposes a multi-layer cloud environment that, first, unifies various kinds of resources used by these information processing and decision-support scenarios (hardware, software, and human), and second, implements an ontology-based automatic service composition procedures that can be used to build ad hoc decision-support services for problems unknown in advance. The service composition is based on uniform description of all parts of the environment with a help of ontologies. The article describes the architecture and models of the novel human-computer cloud environment. It also describes several scenarios of decision support in tourism leveraging the proposed human-computer cloud concept.

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A Model of Decision Support on Migration of Enterprise IT-Applications in the Cloud Environment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.682.600 ◽

2014 ◽

Vol 682 ◽

pp. 600-605 ◽

Cited By ~ 4

Author(s):

S.V. Razumnikov ◽

Alexandra A. Zakharova ◽

M.S. Kremneva

Keyword(s):

Decision Support ◽

Safety Data ◽

Data Availability ◽

Cloud Environment ◽

Analytic Hierarchy ◽

Enterprise Applications ◽

It Applications ◽

Business Requirements ◽

Cloud Applications ◽

Hierarchy Process

When using cloud systems there is always a problem of data safety, data availability and a possibility of malicious acts, hampering computational processes. However, evaluating the risks of introducing cloud applications is not the only aspect influencing the decision to move enterprise applications to the cloud. The present paper suggests a model of decision support for deciding to move enterprise applications to the cloud environment based on the Analytic Hierarchy Process (AHP). The model allows estimating a set of enterprise IT applications and choose the applications for migration to the cloud, based on specific business requirements, technological strategy and willingness to risk.

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Ontology-Based Human-Computer Cloud for Decision Support

International Journal of Embedded and Real-Time Communication Systems ◽

10.4018/ijertcs.2018010101 ◽

2018 ◽

Vol 9 (1) ◽

pp. 1-19 ◽

Cited By ~ 3

Author(s):

Alexander Smirnov ◽

Andrew Ponomarev ◽

Nikolay Shilov ◽

Alexey Kashevnik ◽

Nikolay Teslya

Keyword(s):

Information Processing ◽

Decision Support ◽

Service Composition ◽

Support Services ◽

Ad Hoc ◽

The Novel ◽

Cloud Environment ◽

Tourist Destination ◽

Automatic Service Composition ◽

Layer Cloud

A variety of information processing and decision support tasks (especially in the context of smart city or smart tourist destination) rely both on the automated and human-based procedures. The article proposes a multi-layer cloud environment that, first, unifies various kinds of resources used by these information processing and decision-support scenarios (hardware, software, and human), and second, implements an ontology-based automatic service composition procedures that can be used to build ad hoc decision-support services for problems unknown in advance. The service composition is based on uniform description of all parts of the environment with a help of ontologies. The article describes the architecture and models of the novel human-computer cloud environment. It also describes several scenarios of decision support in tourism leveraging the proposed human-computer cloud concept.

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Human-Computer Cloud and Its Applications in E-Tourism

Tools and Technologies for the Development of Cyber-Physical Systems - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-7998-1974-5.ch008 ◽

2020 ◽

pp. 202-235

Author(s):

Andrew Ponomarev ◽

Nikolay Shilov

Keyword(s):

Information Processing ◽

Decision Support ◽

Resource Management ◽

Ad Hoc ◽

Dynamic Environments ◽

Resource Provisioning ◽

Cloud Environment ◽

On Demand ◽

Building Information ◽

Developing Area

The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic environments, where it is impossible (or impractical) to implement all possible information processing workflows that can be useful for a decision-maker. The chapter proposes the concept of human-computer cloud, providing typical cloud features (elasticity, on demand resource provisioning) to the applications that require human input (so-called human-based applications) and, on top of resource management functionality, a facility for building information processing workflows for ad hoc tasks in an automated way. The chapter discusses main concepts lying behind the proposed cloud environment, as well as its architecture and some implementation details. It is also shown how the proposed human-computer cloud environment solves information and decision support demands in the dynamic and actively developing area of e-tourism.

Download Full-text