Informatics Publishing Limited

C. Sreedhar ¹, N. Kasiviswanath ¹, P. Chenna Reddy ²

Affiliations
1 Department of Computer Science and Engineering, G Pulla Reddy Engineering College, Kurnool - 518007, Andhra Pradesh, IN
2 Department of Computer Science and Engineering, JNT University Anantapur, Anantapuram - 515002, Andhra Pradesh, IN

Abstract

Objectives: In this paper, we discuss on the importance of multilevel queues in scheduling Hadoopmapreduce jobs. Methods/Statistical Analysis: Modifications are done on HDFS and yarn configuration files to suit the multilevel queues. This work constitutes the performance analysis of various existing job schedulers such as FIFO, Fair and Capacity schedulers. Findings: Significant achievements are achieved which includes performance evaluation metrics for comparative understanding of the proposed and existing techniques. The final outcome of the work demonstrates the need for multilevel queue scheduling with allocation policies and the optimal placement of jobs in queues. Application/Improvements:With the adoption of multilevel queue scheduling, there is a significant improvement in placing jobs in multilevel queues for the jobs submitted by the users.

Keywords

Capacity, Fair, FIFO, Hadoop, Mapreduce, Multilevel Queues.

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C. Sreedhar ¹, S. Madhusudhana Verma ², N. Kasiviswanath ¹

Affiliations
1 Department of CSE, G. Pulla Reddy Engineering College, Kurnool, IN
2 Department of OR and SQC, Rayalaseema University, Kurnool, IN

Abstract

The security of wireless networks has been a constant topic in the recent years. With the advance of wireless networks, building reliable and secured communication is becoming extremely important. Wireless security is a mechanism of preventing unauthorized access or damage to computers using wireless networks. A mobile ad-hoc network (MANET) is a self-organizing system of mobile nodes that communicate with each other through wireless links with no fixed infrastructure or centralized administration. This paper presents potential security attacks on Ad-hoc On-demand Distance Vector (AODV) routing protocol and their countermeasure. IETF standardized AODV and considered as one of the most popular and promising on-demand routing protocols because of its lower network overhead and algorithm complexity. AODV protocol does not store all the routing information in its routing table and this causes potential security threat to the wireless networks. In this paper, we consider various known security attacks and in- specific blackhole attack on AODV and propose a countermeasure to thwart blackhole attack.

Keywords

MANET, Security, Blackhole Attack, AODV.

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E. Poornima ¹, N. Kasiviswanath ², C. Shoba Bindu ³

Affiliations
1 G. Pulla Reddy Engineering College, Kurnool – 518007, Andhra Pradesh, IN
2 Department of CSE, G. Pulla Reddy Engineering College, Kurnool – 518007, Andhra Pradesh, IN
3 Jawaharlal Nehru Technological University Anantapur, Anantapur – 515002, Andhra Pradesh, IN

Abstract

Cloud computing, otherwise known as on-demand computing model that enables access to computation and storage resources on the internet. However, consumers are apprehensive about adopting this computing model because it is still plagued by security issues. Security is still an un resolved problem in cloud applications.In this paper, we present the key issues of data security in the cloud computing technology , and are described in four areas: storage security, network security, data security and virtualization. We then discuss some frameworks for addressing the security issues. Issues related to standardization, multi-tenancy, and federation have also been addressed for extensive usage of cloud computing technology in various applications.

Keywords

Cloud Computing, Data Security, Multitenancy, Security.

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