N. Sabiyath Fatima ¹, V. Muthupriya ¹

Affiliations
1 Department of CSE, B.S Abdur Rahman University, Vandalur, Chennai - 600048, Tamil Nadu, IN

Abstract

Objectives: Security is a challenging issue in mobile ad-hoc networks (MANET). The main objective is to implement FD-ETOHIP Fault Detection Mechanism (FDM) on Enhanced Topology-Hiding Multipath Routing Protocol (E-TOHIP) in mobile ad-hoc networks (MANETs). Methods/Statistical Analysis: E-TOHIP do not permit packets to hold routing information. Once a route is recognized, E-TOHIP will publicize a set having the nodes that have been positioned on routes, which prevents a node from being located on another route. It also establishes multiple node-disjoint routes and excludes unreliable routes before transmitting packets. Findings: With the help of FDM faults in the network can be easily identified. Message loss due to node permanent fault and message loss due to data transmission are the types of faults that occur here. If the node is considered to be a everlasting fault, then the messages at the node location will get lost and it won’t work until a re-establishment is done. The message loss during data transmission occurs due to three kinds of faults namely message redirection, topology change and buffer overflow. Applications/Improvements: Along with FDM, various attack implementation is also done in order to test the efficiency of E-TOHIP protocol.

Keywords

E-TOHIP, Fault Detection Mechanism, MANET.

Full Text

   

N. Sabiyath Fatima ¹, S. Jahira Begam ¹, N. S. Muneera ¹

Affiliations
1 Department of Computer Science and Engineering, B.S. Abdur Rahman University, Seethakathi Estate, Vandalur, Chennai - 600048, Tamil Nadu, IN

Abstract

Objectives: This paper solves the resource underutilization issues by trading the unused cloud computing resources and also obtains an optimal profit with the help of reverse auction mechanism. Methods/Statistical Analysis: Cloud market uses direct selling model to allocate resources for fixed price. Cloud service providers are not considering marketing principles such as supply-demand rate. In existing works, several market-based resource allocation models and algorithms have been projected to show that dynamic pricing models might be more suitable for both the providers and the customers of cloud resources. The proposed work uses reverse auction mechanism to trade the unused resources along with the resource overbooking and pooling facilities. Findings: Cloud services are offered by more service providers. It is a complicated task to calculate the right cost for the usage by the cloud service providers. Reverse auction mechanism is used to trade the unused cloud computing resources, which is unable to be allocated through direct-selling. An adaptive bidding strategy is used to suggest the provider to take the right actions in auctions. This mechanism solves the issue of resource underutilization with the help of resource overbooking and resource pooling. Though overbooking is generally used to reduce penalty for the service providers, resource pooling facility is highly effective in accessing the resources from resource pool which can be utilized by service providers instead of paying penalty and also increases the datacenter utilization. Applications/Improvements: Resource pooling assisted reverse auction mechanism helps to improve the datacenter utilization and also reduces penalty for cloud service providers in both English Reverse (ER) and Second Price Sealed Bid (SPSB) auctions.

Keywords

Adaptive Strategy, Cloud Marketplace, Overbooking, Reverse Auction, Resource Pooling.

Full Text