Cloud computing is that the one among the quickest making and rising development in IT trade on pay-asyou-go premise. Flexibility is that the one among the properties of the cloud computing, it exhibits the response for DDoS ambush and created new quite strike significantly EDoS assault .This paper displays the impact of EDoS assaults on the cloud computing services, touching on single category of service. A check demonstrate was made public, performed associated contrasted and an expositive lining model. The trial test-bed was directed on Amazon internet Services cloud platform, it catches the cloud edges and incorporates range of execution measurements and value measurements, as an instance, range of running cases on the cloud, latency or latency , usage of distributed computing assets, throughput, and also the caused value as a result of the assault. The outcomes square measure introduced and conclusions square measure talked concerning.

With the rapid development in network technology new network types based on wireless communication have emerged. A large family of wireless communication networks is the Mobile Ad hoc Networks (MANETs). While MANETs mobile devices should be able to connect with each other at any time and place, the vulnerabilities of MANET structure also introduce a wide range of attacks and present new challenges for the design of security mechanism ranging from developing and implementing lightweight cryptographic primitives to designing and analyzing secure protocols. Numerous security solutions and key management schemes such as symmetric and asymmetric cryptography have been used to support MANET environment. This paper conducted survey to gain a quick knowledge of security design demand and cryptography solutions to secure MANET.  This survey focused on security schemas and case studies of cryptography techniques on Ad Hoc networks. Finally, conclusions are discussed.

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Cloud computing for web application is ubiquitous in the global market and represents a generic pattern because rapid elasticity and infrastructure scaling naturally lends itself to the needs of a virtual data center. Server requirement analysis depending on the workload play a very important role in web app development and it leads to availability of service to customer at any cost and cost analysis to the application provider. To achieve proper infrastructure scaling the minimal number of servers are have to satisfy and determine SLO. Thus this paper evaluates an analytical model to formulate prediction or estimation of required servers has to satisfy the QoS performance metrics such as throughput, utilization of cloud datacenter, request loss and required number of servers. The experimental model is used to validate correctness of the analytical model that was hosted on AWS cloud platform. Finally results have presented and conclusions are drawn.

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