Cloud computing is emerging as a new standard model for enabling ubiquitous network access, computing resources, deploying, organizing, and accessing vast distributed computing applications over the network. In cloud computing, Load balancing is one of the main challenges which are required to distribute the workload equally across all the nodes. Load balancing uses services offered by many computer network service provider corporations. Load balancing can be different types like network load, storage capacity, memory capacity and CPU load. Load balancing helps to achieve a high user satisfaction and resource utilization ratio by confirming an efficient and fair allocation of every computing resource. Proper load balancing support in implementing failover, enabling scalability, overprovisioning, and decreases costs associated with document management systems and maximizes the availability of resources. This paper describes a survey of different dynamic load balancing algorithms in the cloud environment with their comparisons on the bases of different load balancing metrics.
KeywordsCloud Computing, Load balancing, load balancer, static load balancing, dynamic load balancing algorithm, load balancing metrics.
Metronidazole is used world wide very commonly. Minor adverse reactions to metronidazole include nausea, mouth dryness, vomiting and diarrhoea. Neurotoxicity is rare and seen predominantly as peripheral neuropathy, dizziness, vertigo and headache. Cerebellar toxicity is quite rare and serious side effect of metronidazole toxicity.We are reporting a rare case of metronidazole toxicity which presented with cerebellar atxia .
Wireless mobile ad hoc network (MANET) is a selfconfiguring network which is composed of several movable mobile nodes. Black Hole attack is one of the DOS attacks in MANET, which can misbehave with network, increase in network traffic, packet loss, decreases throughput, send false reply to the nodes and dropped data packets. Therefore, to analysis all these effects, a contribution has been made with modification of AODV routing protocol as a bhAODV (Black Hole AODV). To show the effect of black hole attack in AODV, result analysis is done using the comparison of AODV and bhAODV. In this paper we also contribute in AODV to provide a solution for Black Hole attack (sbhAODV). Network Simulator (NS 2.35) is used to implement bhAODV and sbhAODV, simulation and result analysis.
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