scholarly journals Governance, Risk, and Compliance in Cloud Scenarios

2019 ◽  
Vol 9 (2) ◽  
pp. 320 ◽  
Author(s):  
Knud Brandis ◽  
Srdan Dzombeta ◽  
Ricardo Colomo-Palacios ◽  
Vladimir Stantchev

Cloud computing is changing the way organizations approach technology and its infrastructure. However, in spite of its attractiveness, cloud computing can be seen as a threat in terms of compliance. Given its intrinsic distributed nature, regulations and laws may differ and customers and cloud providers must find a way to balance increasing compliance pressures with cloud computing benefits. In this paper, the authors present a framework aimed to help organizations to cope with compliance aspects in their cloud-oriented environments. Built upon current literature on the topic and qualitative approaches, the framework has been implemented in two organizations. Results from its contribution are encouraging, leading to adopter organizations to less reported compliance violations and higher contribution of cloud computing to overall quality of service and organizational compliance management.

Author(s):  
Mohamed Fazil Mohamed Firdhous

Cloud computing is the newest paradigm in computing that turned upside down the way of resource provisioning and payment. Cloud computing improves the resource utilization through virtualization enabling both customers as well as service providers to reap the benefits. Thus virtualization is the enabling technology that made this revolution possible. Through virtualization, it is possible to host multiple independent systems on a single hardware without interfering with each other. Server virtualization techniques can be grouped based how the underlying hardware and operating systems are presented to the users. In this chapter, the author takes an in depth look at how different virtualization has been implemented along with their security and quality of service issues.


Author(s):  
Bhalaji N

Cloud computing being a promising paradigm has become very prominent among a wide range of applications due to their timely service rendering capability. Attracted to the type of servicing and the way of servicing lots and lots of users, adapt to the cloud computing. This makes the time servicing of the cloud computing a tedious job. So in order to effectively handle the tasks the scheduling approach is entailed in the cloud computing. The paper proposes an efficient task scheduling for the heterogeneous cloud to render service at a minimized delay utilizing the genetic algorithm. The proposed method is validated through the, cloud simulator to understand the efficiency of the same in terms of delay and the quality of service.


Author(s):  
Mohamed Fazil Mohamed Firdhous

Cloud computing is the newest paradigm in computing that turned upside down the way of resource provisioning and payment. Cloud computing improves the resource utilization through virtualization enabling both customers as well as service providers to reap the benefits. Thus, virtualization is the enabling technology that made this revolution possible. Through virtualization, it is possible to host multiple independent systems on a single hardware without interfering with each other. Server virtualization techniques can be grouped based how the underlying hardware and operating systems are presented to the users. In this chapter, the author takes an in depth look at how different virtualization has been implemented along with their security and quality of service issues.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1400
Author(s):  
Muhammad Adnan ◽  
Jawaid Iqbal ◽  
Abdul Waheed ◽  
Noor Ul Amin ◽  
Mahdi Zareei ◽  
...  

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework CloudSim toolkit. The simulation results of safety messages show better performance than non-safety messages in terms of execution time.


Author(s):  
Muhammad Usman Ashraf ◽  
◽  
Sabah Arif ◽  
Abdul Basit ◽  
Malik Sheraaz Khan

Author(s):  
Mohamed M. Ould Deye ◽  
Mamadou Thiongane ◽  
Mbaye Sene

Auto-scaling is one of the most important features in Cloud computing. This feature promises cloud computing customers the ability to best adapt the capacity of their systems to the load they are facing while maintaining the Quality of Service (QoS). This adaptation will be done automatically by increasing or decreasing the amount of resources being leveraged against the workload’s resource demands. There are two types and several techniques of auto-scaling proposed in the literature. However, regardless the type or technique of auto-scaling used, over-provisioning or under-provisioning problem is often observed. In this paper, we model the auto-scaling mechanism with the Stochastic Well-formed coloured Nets (SWN). The simulation of the SWN model allows us to find the state of the system (the number of requests to be dispatched, the idle times of the started resources) from which the auto-scaling mechanism must be operated in order to minimize the amount of used resources without violating the service-level agreements (SLA).


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