Software‐Defined Networks (SDNs) are emerging as one of the most promising new era network technologies with its centralized and easily programmable nature. Many security issues with legacy networks could easily be resolved using SDNs central management and control; at the same time, security vulnerabilities of this technology are still the biggest concern of researchers and industries for adapting this technology. In this paper, a comprehensive review on security aspects of SDN is presented, considering how researchers are utilizing its features for providing security as well as their concerns about its security. Further, a critical comparison of existing countermeasures against SDN security including distributed denial of service (DDoS) is presented. This analysis includes the research works that have been done since the origin of OpenFlow protocol till 2015, including the contributions made by industries as well as universities towards securing the SDN framework. We have also compared our survey with existing surveys. The motivation behind this survey is to identify security concerns of SDN and ongoing research in this field. We have focused on DDoS in SDN mainly, which has not been much targeted by research surveys. By highlighting the current state of the art in this domain, we could facilitate researchers with a broad overview of advancement of research in SDN security and DDoS. Copyright © 2017 John Wiley & Sons, Ltd.
This paper aims at the development of a cloud services provisioning framework by developing a dynamic priority job scheduler cum load-balancer for the cloud .The main motive of this paper is to provide a means of managing the job requests in a flexible and cost-effective way, both for the customer and the cloud service provider. In order to make the cloud scalable and adaptable to the changing needs and the increasing number of the users, proper and judicious allocation of resources is the utmost demand. A load balancer plays a very critical role in the scheduling of services into the cluster of virtual machines formed inside the cloud and also ensures optimum utilization of the processing power of various virtual systems.The paper presents a hierarchical approach to give a scalable model for task scheduling. It lists a primitive three tier and an improved four tier architecture mitigating various provisioning concerns like optimal utilization of resources, handling the large number of requests and providing reliable cost effective services. In the scheduler module, is implemented an adaptive dynamic priority scheduling scheme. The scheduler framework takes into account the client -cloud interface and the inner mobility of the job request. The hierarchy takes care of the two important concerns in cloud provisioning that are task scheduling and virtual resource allocation.
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