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Gaurav Somani

Publications and source records attributed to Gaurav Somani.

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DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions

Security issues related to the cloud computing are relevant to various stakeholders for an informed cloud adoption decision. Apart from data breaches, the cyber security research community is revisiting the attack space for cloud-specific solutions as these issues affect budget, resource management, and service quality. Distributed Denial of Service (DDoS) attack is one such serious attack in the cloud space. In this paper, we present developments related to DDoS attack mitigation solutions in the cloud. In particular, we present a comprehensive survey with a detailed insight into the characterization, prevention, detection, and mitigation mechanisms of these attacks. Additionally, we present a comprehensive solution taxonomy to classify DDoS attack solutions. We also provide a comprehensive discussion on important metrics to evaluate various solutions. This survey concludes that there is a strong requirement of solutions, which are designed keeping utility computing models in mind. Accurate auto-scaling decisions, multi-layer mitigation, and defense using profound resources in the cloud, are some of the key requirements of the desired solutions. In the end, we provide a definite guideline on effective solution building and detailed solution requirements to help the cyber security research community in designing defense mechanisms. To the best of our knowledge, this work is a novel attempt to identify the need of DDoS mitigation solutions involving multi-level information flow and effective resource management during the attack.

cs.CR

VUPIC: Virtual Machine Usage Based Placement in IaaS Cloud

Efficient resource allocation is one of the critical performance challenges in an Infrastructure as a Service (IaaS) cloud. Virtual machine (VM) placement and migration decision making methods are integral parts of these resource allocation mechanisms. We present a novel virtual machine placement algorithm which takes performance isolation amongst VMs and their continuous resource usage into account while taking placement decisions. Performance isolation is a form of resource contention between virtual machines interested in basic low level hardware resources (CPU, memory, storage, and networks bandwidth). Resource contention amongst multiple co-hosted neighbouring VMs form the basis of the presented novel approach. Experiments are conducted to show the various categories of applications and effect of performance isolation and resource contention amongst them. A per-VM 3-dimensional Resource Utilization Vector (RUV) has been continuously calculated and used for placement decisions while taking conflicting resource interests of VMs into account. Experiments using the novel placement algorithm: VUPIC, show effective improvements in VM performance as well as overall resource utilization of the cloud.

cs.DC