Cost‐aware cloud bursting in a fog‐cloud environment with real‐time workflow applications

Author(s):  
Georgios L. Stavrinides ◽  
Helen D. Karatza
Author(s):  
Sai Narasimhamurthy ◽  
Malcolm Muggeridge ◽  
Stefan Waldschmidt ◽  
Fabio Checconi ◽  
Tommaso Cucinotta

The service oriented infrastructures for real-time applications (“real-time clouds1”) pose certain unique challenges for the data storage subsystem, which indeed is the “last mile” for all data accesses. Data storage subsystems typically used in regular enterprise environments have many limitations which impedes direct applicability for such clouds, particularly in their ability to provide Quality of Service (QoS) for applications. Provision of QoS within storage is possible through a deeper understanding of the behaviour of the storage system under a variety of conditions dictated by the application and the network infrastructure. We intend to arrive at a QoS mechanism for data storage keeping in view the important parameters that come into play for the storage subsystem in a soft real-time cloud environment.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 740
Author(s):  
S Kumaresan ◽  
Sumithra Devi.K.A

In Software technology stackCloud services provides easy coupling implementation to enhance encapsulation data between multiple platform data exchanges. My finding towards  introducing High Availability Architecture for cloud environment which covers Load Balancing, Failover, High Availability Resources. To achieve thisfeatures it’s identified framework architecture which is called as Dynamic High Availability Architecture Framework for SOA Computing which increase cloud services standard inhigh witheasy adaptable security. Even though cloud service supports loose coupling and isolation business logics. At current cloud service provide wants to launch new web service request on fly same service will notnotified into client in real-time scenario.  To overcome this complicated situation we have introduced (GHAFC) Generic Architecture Framework in Cloud Computing. Which will support data exchanges between producer and consumer onthe fly with real time scenario.


2018 ◽  
Vol 14 (2) ◽  
pp. 43-58 ◽  
Author(s):  
S. Kirthica ◽  
Rajeswari Sridhar

One of the principle features on which cloud environments operate is the scaling up and down of resources based on users' needs, called elasticity. This feature is limited to the cloud's physical resources. This article proposes to enhance the elasticity of a cloud in an intelligent manner by communicating with an optimal external cloud (EC) and borrowing additional resources from it when the cloud runs out of resources. This inter-cloud communication is secured by a model whose structure is similar to the Kerberos protocol. To choose the optimal EC for a particular request of a user, a list of parameters, collectively termed as RePVoCRaD, are enumerated. Once chosen, trust is established with the chosen EC and inter-cloud communication begins. While existing works deal with third parties to establish or secure inter-cloud communication, this work is novel in that there is absence of third parties in the entire process, thereby reducing security threats and additional costs involved. Evaluating this work based on turnaround time and transaction success rate, in a real-time cloud environment, it is seen that the cloud's elasticity is so enhanced that it successfully accommodates its users' additional demands by the fastest means possible.


2017 ◽  
Vol 73 (11) ◽  
pp. 4906-4922 ◽  
Author(s):  
Huangke Chen ◽  
Jianghan Zhu ◽  
Zhenshi Zhang ◽  
Manhao Ma ◽  
Xin Shen

2013 ◽  
Vol 760-762 ◽  
pp. 1758-1761
Author(s):  
Ji Ming Lan ◽  
Shu Jie Lu ◽  
Li Ming Zhang

Proposed that idea of cloud computing ecology development, supports and guiding cloud model deployment, the cloud service management and Clouds protocols observes the purification of mix cloud environment. Has designed the multiple dimension data saving structure and real-time mass-data processing of model as well as the asynchronous overall construction distributional ecology cloud structure. It has been shown that this ecology cloud structure is healthy.


Author(s):  
Sampa Sahoo ◽  
Syed Nawaz ◽  
Sambit Kumar Mishra ◽  
Bibhudatta Sahoo

2013 ◽  
Vol 17 (3) ◽  
pp. 927-941 ◽  
Author(s):  
Tien-Dung Nguyen ◽  
Mui Van Nguyen ◽  
Eui-Nam Huh

Author(s):  
Dinkan Patel ◽  
Anjuman Ranavadiya

Cloud Computing is a type of Internet model that enables convenient, on-demand resources that can be used rapidly and with minimum effort. Cloud Computing can be IaaS, PaaS or SaaS. Scheduling of these tasks is important so that resources can be utilized efficiently with minimum time which in turn gives better performance. Real time tasks require dynamic scheduling as tasks cannot be known in advance as in static scheduling approach. There are different task scheduling algorithms that can be utilized to increase the performance in real time and performing these on virtual machines can prove to be useful. Here a review of various task scheduling algorithms is done which can be used to perform the task and allocate resources so that performance can be increased.


Sign in / Sign up

Export Citation Format

Share Document