Research on disaster recovery policy of dual-active data center based on cloud computing

2015 ◽  
pp. 347-350
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Disaster Recovery ◽  
Active Data

scholarly journals Disaster Recovery in Cloud Computing: A Survey

2014 ◽  
Vol 7 (4) ◽  
pp. 39 ◽  
Author(s):  
Mohammad Ali Khoshkholghi ◽  
Azizol Abdullah ◽  
Rohaya Latip ◽  
Shamala Subramaniam ◽  
Mohamed Othman
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Disaster Recovery ◽  
Service Providers ◽  
Cloud Service ◽  
Persistent Problem ◽  
The Past ◽  
Recovery Mechanisms ◽  
Cloud Environments ◽  
Open Issues

Disaster recovery is a persistent problem in IT platforms. This problem is more crucial in cloud computing, because Cloud Service Providers (CSPs) have to provide the services to their customers even if the data center is down, due to a disaster. In the past few years, researchers have shown interest to disaster recovery using cloud computing, and a considerable amount of literature has been published in this area. However, to the best of our knowledge, there is a lack of precise survey for detailed analysis of cloud-based disaster recovery. To fill this gap, this paper provides an extensive survey of disaster recovery concepts and research in the cloud environments. We present different taxonomy of disaster recovery mechanisms, main challenges and proposed solutions. We also describe the cloud-based disaster recovery platforms and identify open issues related to disaster recovery.

A survey of data center consolidation in cloud computing systems

2021 ◽  
Vol 39 ◽  
pp. 100366
Author(s):  
Leila Helali ◽  
Mohamed Nazih Omri
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Computing Systems

Data center network architecture in cloud computing: review, taxonomy, and open research issues

2014 ◽  
Vol 15 (9) ◽  
pp. 776-793 ◽  
Author(s):  
Han Qi ◽  
Muhammad Shiraz ◽  
Jie-yao Liu ◽  
Abdullah Gani ◽  
Zulkanain Abdul Rahman ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Network Architecture ◽  
Data Center Network ◽  
Research Issues ◽  
Open Research

scholarly journals A SEGURANÇA DE UMA ESTRUTURA DE DISASTER RECOVERY PLAN EM CLOUD COMPUTING

Ensaios USF ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 103-116
Author(s):  
Evandro Luis Soldan ◽  
Cleiton Silva de Ávila ◽  
Silvio Petroli Neto
Keyword(s):  
Cloud Computing ◽  
Disaster Recovery ◽  
Recovery Plan

O modelo de computação em nuvem tem sido observado como uma solução para as crescentes demandas dos usuários dos serviços de tecnologia da informação, acessíveis de diferentes lugares via Internet e de diferentes dispositivos, tais como computadores e dispositivos móveis. Com todos esses benefícios, muitas organizações têm optado pelo uso de serviços de computação em nuvem. No entanto, o modelo de computação em nuvem traz uma série de desafios de segurança consigo que devem ser analisados e endereçados tanto por usuários como por provedores de serviços. A falta de atenção e entendimento às questões de segurança pode trazer reflexos negativos para os indivíduos e para as empresas que fazem uso desses serviços. Com isso muitas empresas possuem em sua estrutura de organização Planos de Recuperação de Desastre (DRP), que é um documento com um conjunto de ações que a equipe de TI deve tomar caso passe por problemas físicos ou técnicos. O objetivo deste trabalho é analisar a segurança em uma estrutura de DRP em Cloud, analisando o tráfego de dados a partir de diversos formatos de arquivos. Com a análise dos dados, será possível realizar a verificação dos serviços de DRP quanto à questão de segurança das informações, e elencar se existem garantias de que os dados são salvos com a devida privacidade, verificando assim a eficiência desta tecnologia em nuvem.

Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

2021 ◽  
Vol 12 (1) ◽  
pp. 74-83
Author(s):  
Manjunatha S. ◽  
Suresh L.
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Service Providers ◽  
Cost Effective ◽  
Cooling Systems ◽  
Operational Costs ◽  
Cloud Computing Service ◽  
And Migration

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

A Novel Hash Chain-Based Data Availability Monitoring Method for Off-site Disaster Recovery Architecture

2021 ◽  
pp. 2150294
Author(s):  
Neng Huang ◽  
Junxing Zhu ◽  
Chaonian Guo ◽  
Shuhan Cheng ◽  
Xiaoyong Li
Keyword(s):  
Information Systems ◽  
Real Time ◽  
Data Center ◽  
Disaster Recovery ◽  
Distributed Storage ◽  
Data Availability ◽  
Data Consistency ◽  
Real Time Monitoring ◽  
The Real ◽  
Hash Chain

With the rapid development of mobile Internet, there is a higher demand for the real-time, reliability and availability of information systems and to prevent the possible systemic risks of information systems, various business consistency standards and regulatory guidelines have been published, such as Recovery Time Object (RTO) and Recovery Point Object (RPO). Some of the current related researches focus on the standards, methods, management tools and technical frameworks of business consistency, while others study the data consistency algorithms in the cases of large data, cloud computing and distributed storage. However, few researchers have studied on how to monitor the data consistency and RPO of production-disaster recovery, and what architecture and technology should be applied in the monitoring. Moreover, in some information systems, due to the complex structures and distributions of data, it is difficult for traditional methods to quickly detect and accurately locate the first error data. Besides, due to the separation of production data center (PDC) and disaster recovery data center (DRDC), it is difficult to calculate the data difference and RPO between the two centers. This paper first discusses the architecture of remote distributed DRDCs. The architecture can make the disaster recovery (DR) system always online and the data always readable, and support the real-time monitoring of data availability, consistency as well as other related indicators, in this way to make DRDC out-of-the-box in disasters. Second, inspired by blockchain, this paper proposes a method to realize real-time monitoring of data consistency and RTO by building hash chains for PDC and DRDC. Third, this paper evaluates the hash chain operations from the algorithm time complexity, the data consistency, and the validity of RPO monitoring algorithms and since DR system is actually a kind of distributed system, the proposed approach can also be applied to the data consistency detection and data difference monitoring in other distributed systems.

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