scholarly journals Kumo: um serviço para portabilidade em multi-nuvens heterogêneas

2018 ◽  
Author(s):  
Marcus Rafael Xavier ◽  
Carlos André G. Ferraz ◽  
Ioram Schechtman Sette
Keyword(s):  
Virtual Machines ◽  
Cloud Provider ◽  
Daily Lives ◽  
Virtual Infrastructure ◽  
Diffi Cult ◽  
Cloud Environments ◽  
Lock In ◽  
Multi Cloud ◽  
Service Cloud

Cloud computing is maturing and becoming ubiquitous in people’s daily lives. As a result, cloud environments are providing moreand more services with better quality of service. Cloud customers, however, have suff ered from the vendor lock-in problem, in such a way that those who wish to migrate to another cloud provider require partial or total reimplementation of applications and virtual infrastructure. Moreover, the problem of heterogeneity among distinct cloud environments makes it diffi cult for the portability of resources between them. Therefore, this work focuses on the development of an ontology to handle multi-cloud heterogeneity, and thus, bring interoperability in the form of a service to perform the portability of virtual machines between diff erent providers.

SLO-Driven Monitoring and Adaptation of Multi-Cloud Service-Based Applications

2018 ◽  
pp. 43-65
Author(s):  
Chrysostomos Zeginis ◽  
Kyriakos Kritikos ◽  
Dimitris Plexousakis
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Cloud Service ◽  
Emerging Technology ◽  
Operational Costs ◽  
Cloud Environments ◽  
Multiple Clouds ◽  
Event Based ◽  
Multi Cloud

Cloud computing is an emerging technology that attracts the attention of an increasing number of organizations that are willing to virtualize their infrastructure. Towards this direction, enterprises can deploy their applications on different public virtual machines (VMs), in order to reduce their operational costs, as well as optimize the performance of the offered applications. In such heterogeneous multi-cloud environments, the need for monitoring the quality of (a) the acquired resources, (b) the services offered to the final users, and (c) the offered service-based processes, and adapting them has come into force. Current research approaches addressing these areas are limited and most of them target a subset of these offerings. This chapter aims at proposing a novel event-based approach for cross-layer monitoring and adaptation of service-based applications (SBAs) deployed on multiple clouds. The proposed approach is empirically evaluated based on an invoice management application.

A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment

2018 ◽  
Vol 11 (2) ◽  
pp. 88-109
Author(s):  
Devki Nandan Jha ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Virtual Machines ◽  
Service Providers ◽  
Cloud Provider ◽  
Technological Advancement ◽  
Cloud Platform ◽  
Analytical Hierarchical Process ◽  
Hybrid Heuristic ◽  
Proposed Model

Cloud computing is a technological advancement that provides services in the form of utility on a pay-per-use basis. As the cloud market is expanding, numerous service providers are joining the cloud platform with their services. This creates an indecision amongst the users to choose an appropriate service provider especially when the cloud provider provisions diverse type of virtual machines. The problem becomes more challenging when the user has different jobs requiring specific quality of service. To address the aforementioned problem, this article applies a hybrid heuristic using College Admission Problem and Analytical Hierarchical Process for stable matching of the users' job with the cloud's virtual machines. The case study depicts the effectiveness of the proposed model.

scholarly journals Optimal allocation of virtual machines in multi-cloud environments with reserved and on-demand pricing

2017 ◽  
Vol 71 ◽  
pp. 129-144 ◽  
Author(s):  
José Luis Díaz ◽  
Joaquín Entrialgo ◽  
Manuel García ◽  
Javier García ◽  
Daniel Fernando García
Keyword(s):  
Optimal Allocation ◽  
Virtual Machines ◽  
On Demand ◽  
Cloud Environments ◽  
Multi Cloud

scholarly journals Matchmaking for Multi-Cloud Marketplace Application

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Huỳnh Hoàng Long ◽  
Nguyễn Hữu Đức ◽  
Lê Trọng Vĩnh
Keyword(s):  
Cloud Provider ◽  
Software Components ◽  
Cloud Platform ◽  
Development Environment ◽  
Software Development Environment ◽  
Application Model ◽  
Software Composition ◽  
Cloud Application ◽  
Lock In ◽  
Multi Cloud

Cloud computing has burst into the trend that a cloud application is developed and provided by a specific cloud provider in form of SaaS (Software as a Service). One limitation of this approach is the vendor lock-in problem, in which the consumers of a SaaS are tightly bound to the ecosystem from the cloud provider in both senses of software development environment and computation resource. Toward solving this problem, in this paper, we propose Composable Application Model (CAM) which formalizes a cloud software as a composition of software components, each of them can be independently developed and can be separately deployed on different cloud platform. We show that our prosed model could be useful for verifying correctness of software composition as well as for checking the correct deployment of a software composition on specified cloud platforms. As an illustration, we experimentally transform our proposed application model into TOSCA application template, a standardized specification for creating multi-cloud application.

scholarly journals SCHEDULED BASED CLOUD RESOURCE ALLOCATION

2017 ◽  
Vol 1 (2) ◽  
pp. 94
Author(s):  
Hendy Mizuardy
Keyword(s):  
Service Provider ◽  
User Satisfaction ◽  
Virtual Machines ◽  
Cloud Provider ◽  
Peak Time ◽  
Computing Technology ◽  
Software Applications ◽  
Virtual Infrastructure ◽  
Cloud Resource ◽  
Schedule Approach

The objective of this research The tremendous implementation of cloud computing technology has become a new trend that users can easily utilize high resources through IaaS platform. IaaS is more economical and easier way to have physical resources; in this case Virtual Machines in the cloud, rather than building the infrastructure by their own. To deliver internet services to users such as website, email service or other software applications, a service provider can utilize IaaS platform by leasing virtual infrastructure from a cloud provider and deploy their services on that VMs. However, it becomes a challenge for a service provider to maintain their services due to the increasing number of user requests. They have to maintain resources availability to provide maximum performance to meet their user satisfaction with optimal resources utilization. The approach in this paper will solve this problem by providing service provider a resource monitor module. The module monitors VMs workload based on schedule approach; peak time and off-peak time. According to these two criteria, the service provider can predict and allocate sufficient resources.

An Software Defined Network Based Secured Model for Malicious Virtual Machine Detection in Cloud Environment

2020 ◽  
Vol 17 (1) ◽  
pp. 526-530
Author(s):  
H. M. Anitha ◽  
P. Jayarekha
Keyword(s):  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Service Level ◽  
Emerging Technology ◽  
Cloud Provider ◽  
Software Defined Network ◽  
Cloud Environment ◽  
Network Controller

Cloud computing is an emerging technology that offers the services to all the users as per their demand. Services are leveraged according to the Service level agreement (SLA). Service level agreement is monitored so that services are offered to the users without any problem and deprival. Software Defined Network (SDN) is used in order to monitor the trust score of the deployed Virtual Machines (VM) and Quality of Service (QoS) parameters offered. Software Defined Network controller is used to compute the trust score of the Virtual Machines and find whether Virtual Machine is malicious or trusted. Genetic algorithm is used to find the trusted Virtual Machine and release the resources allocated to the malicious Virtual Machine. This monitored information is intimated to cloud provider for further action. Security is enhanced by avoiding attacks from the malicious Virtual Machine in the cloud environment. The main objective of the paper is to enhance the security in the system using Software Defined Network based secured model.

Dynamic Programming Inspired Virtual Machine Instances Allocation in Cloud Computing

2017 ◽  
Vol 14 (1) ◽  
pp. 551-560 ◽  
Author(s):  
P Karthikeyan ◽  
M Chandrasekaran
Keyword(s):  
Cloud Computing ◽  
Dynamic Programming ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Cloud Provider ◽  
Revenue Generation ◽  
On Demand ◽  
Allocation Method ◽  
Cloud Environments ◽  
Time And Space Complexity

Cloud computing provides virtual machines instances to the user for performing various computational tasks on demand for a specific period of time. Considering the architecture and characteristics of the cloud environments, traditional virtual machine instances allocation algorithms cannot be applied to the cloud environment appropriately. In this paper, we propose Dynamic programming inspired virtual machine instances allocation algorithm which allocates virtual machine instances to the user based on demand. The aim of this algorithm is to maximize the cloud provider’s revenue. We have mainly focused on the total revenue generation of the cloud provider and percentage of user served rather than focusing on running time and space complexity of the virtual machine instances allocation problem. We evaluate the proposed mechanism by performing simulations. The experimental results show that the proposed Dynamic programming inspired virtual machine instances allocation method provided a higher revenue generation for the cloud provider than traditional fixed price and combinatorial auction greedy virtual machine instances allocation method.

Power-Aware Mechanism for Scheduling Scientific Workflows in Cloud Environment

2021 ◽  
Vol 12 (1) ◽  
pp. 22-38
Author(s):  
Kirankumar V. Kataraki ◽  
Sumana Maradithaya
Keyword(s):  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Research Work ◽  
Scientific Workflows ◽  
Cloud Provider ◽  
Allocation Mechanism ◽  
Task Scheduling Algorithm ◽  
Optimal Resource ◽  
Service Cloud ◽  
Demand Service

Cloud computing is a platform that hosts various services and applications for users and businesses to access computing as a service. Cloud provider offers two distinct types of plans: reserved service and on-demand service. Cloud resources need to be allocated efficiently, and task needs to be scheduled efficiently such that the performance can be enhanced. In this research work, the authors have proposed a novel mechanism named PAMP (performance aware mechanism for parallel computation) for scheduling scientific workflows. At first, the resources are allocated using the optimal resource allocation mechanism. Then tasks are scheduled in parallel utilizing the task scheduling algorithm. Further, they consider energy and time as constrained to makespan optimization. The evaluation is carried out by considering the scientific workflows cyber snake with its different variant, and the comparative analysis is carried out by varying the number of virtual machines. The proposed methodology outperforms the existing model.

Results of osteopathic correction of patients with post-traumatic coccygodynia

2019 ◽  
pp. 19-27
Author(s):  
Yu. V. Antonova ◽  
A. M. Iskandarov ◽  
I. B. Mizonova
Keyword(s):  
Quality Of Life ◽  
Emotional State ◽  
Pain Syndrome ◽  
Control Group ◽  
Life Questionnaire ◽  
Treatment Area ◽  
Diffi Cult ◽  
Osteopathic Treatment ◽  
Post Traumatic

Introduction.Coccygodynia is a multidisciplinary disease which is diffi cult to treat. It seriously limits the ability to work and signifi cantly affects the quality of life of patients. The study of somatic dysfunctions in patients with coccygodynia and the analysis of the results of osteopathic treatment of such patients makes it possible to justify the necessity of osteopathic correction of coccygodynia.Goal of the study— to determine the structure of the leading somatic dysfunctions in patients with coccygodynia and to study the effectiveness of osteopathic treatment of this pathology.Materials and methods.The study involved 44 patients from 25 to 65 years old, randomly divided into two groups. The main group of 24 people (20 women and 4 men) received osteopathic treatment, in accordance with the identifi ed leading somatic dysfunctions. Patients of the control group (16 women and 4 men) were treated locally with soft manual techniques (the treatment area was limited by the pelvic region). In order to assess the results of the treatment, we examined the intensity of the pain syndrome and the psycho-emotional state of patients. The severity of the pain syndrome was assessed in accordance with the visual analogue scale (VAS). The psycho-emotional state (with physical and mental components) was assessed with the help of the SF-36 quality of life questionnaire.Results.Somatic dysfunctions typical for patients with coccygodynia have been identifi ed. Osteopathic treatment has proven to be more effective in comparison with local manual therapy of coccygodynia both in early periods and in 3 months after the end of the treatment course.Conclusion.Osteopathic treatment of post-traumatic coccygodynia is effective, and can be recommended for treatment of such patients.

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