scholarly journals Fog Computing-Security Platform for IoT and Cloud in-Healthcare System

2019 ◽  
Vol 9 (2) ◽  
pp. 4419-4424
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Service Management ◽  
New Technology ◽  
Fog Computing ◽  
Cloud Services ◽  
Third Party ◽  
Selection System ◽  
Search Tool

The introduction of cloud computing has revolutionized business and technology. Cloud computing has merged technology and business creating an almost indistinguishable framework. Cloud computing has utilized various techniques that have been vital in reshaping the way computers are used in business, IT, and education. Cloud computing has replaced the distributed system of using computing resources to a centralized system where resources are easily shared between user and organizations located in different geographical locations. Traditionally the resources are usually stored and managed by a third-party, but the process is usually transparent to the user. The new technology led to the introduction of various user needs such as to search the cloud and associated databases. The development of a selection system used to search the cloud such as in the case of ELECTRE IS and Skyline; this research will develop a system that will be used to manage and determine the quality of service constraints of these new systems with regards to networked cloud computing. The method applied will mimic the various selection system in JAVA and evaluate the Quality of service for multiple cloud services. The FogTorch search tool will be used for quality service management of three cloud services.

scholarly journals Vehicular Fog Computing: The Need for a New Paradigm and its Issues

2018 ◽  
Vol 7 (2.7) ◽  
pp. 606
Author(s):  
G Sri Gnana Deepika ◽  
P Sai Kiran
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Fog Computing ◽  
Cloud Services ◽  
New Paradigm ◽  
Smart Vehicles ◽  
Vehicular Cloud Computing ◽  
Security Challenges ◽  
And Storage

Smart vehicles participating in VANET have high computing capabilities which lead the demand to support more applications that give safety and effective measures to people. The vehicles in VANET are taking the help of cloud services for communication, computation and storage which benefits in economical way and we call that as vehicular cloud computing (VCC). Due to certain limitations in VCC and also demand for more quality of service applications in smart vehicles a new paradigm called vehicular fog computing (VFC) is proposed which helps to overcome limitations in VCC and provide more quality services to users participating in VANET. Some of the security challenges and possible attacks in VFC are also stated.  

scholarly journals Open Access to Resource Management in Multimedia Networks

2009 ◽  
Vol 5 (1) ◽  
Author(s):  
Evelina Nikolova Pencheva ◽  
Ivaylo Ivanov Atanasov
Keyword(s):  
Quality Of Service ◽  
Resource Management ◽  
Web Service ◽  
Service Management ◽  
Value Added ◽  
Third Party ◽  
Multimedia Networks ◽  
Service Access ◽  
Management Functions

The paper is dedicated to mechanisms for open access to resource management in the Internet Protocol (IP) multimedia networks. First we present the concept of IP Multimedia Subsystem (IMS) and explain the IMS functional architecture, principles of quality of service management and service control in IMS. Then we describe the idea behind the opening of network interfaces for third parties so that others besides the network operator can create and deploy services. Open Service Access (OSA) and Parlay appear to be the technologies for value-added service delivery in multimedia networks. In the paper we take a closer look to the Parlay/OSA interfaces that allow third party applications to access the resource management functions in IMS. OSA "Connectivity Manager" interfaces and OSA "Policy Management" interfaces are considered. Parlay X Web Services interfaces provide a higher level of abstraction than Parlay/OSA interfaces and gain an amazing amount of support among service developers. We address "Applicationdriven Quality of Service" Parlay X Web Service and "Policy" Parlay X Web Service also.

Open Access to Control on Quality of Service in Convergent Networks

2010 ◽  
Vol 5 (2) ◽  
pp. 53-74
Author(s):  
Evelina Pencheva ◽  
Ivaylo Atanasov
Keyword(s):  
Quality Of Service ◽  
Open Access ◽  
Service Management ◽  
Network Control ◽  
Third Party ◽  
Service Access ◽  
Qos Management ◽  
Application Programming ◽  
Open Service

This paper investigates the capabilities for open access to quality of service management in convergent networks. Based on the analysis of requirements for policy and charging control in Internet Protocol Multimedia Subsystem (IMS), functions for quality of service (QoS) management and charging that are available for third party applications are identified. The functionality of Open Service Access (OSA) and Parlay X interfaces is evaluated for support of dynamic QoS control, while an approach to development of OSA compliant application programming interfaces for QoS management in IMS networks is presented. The interface’s methods are mapped onto the messages of network control protocols such as Diameter and Session Initiation Protocol (SIP). Finally, aspects of interface implementation are discussed including behavior equivalence of state machines.

scholarly journals Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

2019 ◽  
Vol 8 (3) ◽  
pp. 1457-1462
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Service Provider

Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.

Quality of Service Management by Third Party in the Evolved Packet System

2012 ◽  
pp. 276-305
Author(s):  
Ivaylo Atanasov ◽  
Evelina Pencheva
Keyword(s):  
Quality Of Service ◽  
Service Management ◽  
Network Control ◽  
Third Party ◽  
Service Access ◽  
Qos Management ◽  
Protocol Conversion ◽  
Application Programming ◽  
Programming Interfaces

The chapter investigates the capabilities for open access to quality of service management in the Evolved Packet System. Based on the analysis of requirements for policy and charging control in the Evolved Packet Core, functions for quality of service (QoS) management and charging, available for third party applications, are identified. The functionality of Open Service Access (OSA) and Parlay X interfaces is evaluated for support of dynamic QoS control on user sessions. An approach to development of OSA-compliant application programming interfaces for QoS management in the Evolved Packet System is presented. The interface’s methods are mapped onto the messages of network control protocols. Aspects of interface implementation are discussed, including interface to protocol conversion.

scholarly journals Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective

2020 ◽  
Vol 12 (5) ◽  
pp. 89 ◽  
Author(s):  
Spiridoula V. Margariti ◽  
Vassilios V. Dimakopoulos ◽  
Georgios Tsoumanis
Keyword(s):  
Quality Of Service ◽  
Literature Review ◽  
Service Management ◽  
Fog Computing ◽  
Research Community ◽  
Simulation Tools ◽  
Management Quality ◽  
Comprehensive Literature Review ◽  
Comprehensive Survey

Fog computing is an emerging and evolving technology, which bridges the cloud with the network edges, allowing computing to work in a decentralized manner. As such, it introduces a number of complex issues to the research community and the industry alike. Both of them have to deal with many open challenges including architecture standardization, resource management and placement, service management, Quality of Service (QoS), communication, participation, to name a few. In this work, we provide a comprehensive literature review along two axes—modeling with an emphasis in the proposed fog computing architectures and simulation which investigates the simulation tools which can be used to develop and evaluate novel fog-related ideas.

scholarly journals A Survey on Enhancing Cloud Security Using Fog Computing

2020 ◽  
Author(s):  
Arpit B ◽  
Prasad K. D ◽  
Mandhar D ◽  
Abhi A. S
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Cloud Security ◽  
Research Area ◽  
Cloud Services ◽  
Security And Privacy ◽  
Security And Protection ◽  
Challenges And Opportunities ◽  
New Research

Nowadays Fog Computing has become a vast research area in the domain of cloud computing. Due to its ability of extending the cloud services towards the edge of the network, reduced service latency and improved Quality of Services, which provides better user experience. However, the qualities of Fog Computing emerge new security and protection challenges. The Current security and protection estimations for cloud computing cannot be straightforwardly applied to the fog computing because of its portability and heterogeneity. So these issues in fog computing arises new research challenges and opportunities. This survey features about existing security concerns for fog computing and new proposed system to tackle some of the issues in fog computing related to security and privacy, thereby enhancing the cloud security.

Classification and Evaluation Criteria for the Selection of Cloud Service Providers with QoS based on SLA

2018 ◽  
Vol 6 (7) ◽  
pp. 51
Author(s):  
Sarvjit Singh Bhatia ◽  
Anurag Rai ◽  
Harsimran Kaur
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Evaluation Criteria ◽  
Cloud Service ◽  
Point Of View ◽  
Cloud Services ◽  
Third Party ◽  
Functional Requirements ◽  
It Industry

Cloud computing is revolutionizing the IT industry by enabling them to offer access to the infrastructure and application services on a third party basis. Due to the vast diversity in the available Cloud services, from the customer’s point of view, it has become difficult to decide whose services they should use and what are the criteria for the selection? There are two types of QoS requirements which a user can have: functional and non-functional. Some of them cannot be measured easily given the nature of the Cloud. Attributes like security and user experience are not easy to quantify. Moreover, deciding which service matches best with all functional and non functional requirements is a decision problem. The Fundamental issue to handle such a problem is Quality of Service (QoS) parameters. Many   SLA languages and frameworks have been developed as solutions; however, there is no overall classification and the criteria for these extensive works. Therefore, the aim of this research is to present a comprehensive study that how SLAs are created, managed by fulfilling the QoS in cloud computing environment.

scholarly journals Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1267 ◽  
Author(s):  
Samson Akintoye ◽  
Antoine Bagula
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Task Allocation ◽  
Optimization Problems ◽  
Fog Computing ◽  
Virtual Machine Placement ◽  
Computing Environment ◽  
Virtual Resources

Recently, a massive migration of enterprise applications to the cloud has been recorded in the IT world. One of the challenges of cloud computing is Quality-of-Service management, which includes the adoption of appropriate methods for allocating cloud-user applications to virtual resources, and virtual resources to the physical resources. The effective allocation of resources in cloud data centers is also one of the vital optimization problems in cloud computing, particularly when the cloud service infrastructures are built by lightweight computing devices. In this paper, we formulate and present the task allocation and virtual machine placement problems in a single cloud/fog computing environment, and propose a task allocation algorithmic solution and a Genetic Algorithm Based Virtual Machine Placement as solutions for the task allocation and virtual machine placement problem models. Finally, the experiments are carried out and the results show that the proposed solutions improve Quality-of-Service in the cloud/fog computing environment in terms of the allocation cost.

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