Informatics Publishing Limited

Chandra Mouli Venkata Srinivas Akana ¹, K. Sundeep Kumar ², C. Divakar ³, Ch. Satyanarayana ⁴

Affiliations
1 Department of CSE, AMC Engineering College, Bangalore-83, IN
2 Department of CSE, CMR Institute of Technology, Bangalore, IN
3 Visakha Institute of Technology, Visakhapatnam, AP, IN
4 Department of CSE, JNTUK, Kakinada, AP, IN

Abstract

In computing clouds, it is desirable to avoid wasting resources as a result of under-utilization and to avoid lengthy response times as a result of over-utilization. In this technical report, we investigate a new approach for dynamic autonomous resource management in computing clouds. The main contribution of this work is two-fold. First, we adopt a distributed architecture where resource management has decomposed into independent tasks, each of which is performed by Autonomous Node Agents that are tightly coupled with the physical machines in a data center. Second, the Autonomous Node Agents carry out configurations in parallel through Multiple Criteria Decision Analysis using the PROMETHEE method. Simulation results show that the proposed approach is promising in terms of scalability, feasibility and flexibility.

Keywords

Cloud Computing, Distributed Architecture, Grid Computing, PROMETHEE Method, Utility Computing.

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Chandra Mouli Venkata Srinivas Akana ¹, K. Sundeep Kumar ², C. Divakar ³, Phani Sirisha Katikireddy ⁴

Affiliations
1 Department of CSE, AMC Engineering College, Bangalore-83, IN
2 Department of ISE, A.M.C Engineering College, Bangalore-83, IN
3 Visakha Institute of Technology, Visakhapatnam, AP, IN
4 Department of MCA, A.M.C Engineering College, Bangalore-83, IN

Abstract

The Ad hoc network is set up with multiple wireless devices without any infrastructure. Its employment is favored in many environments[7]. Thus, many efforts are put in ad hoc networks at both the MAC and routing layers. Meanwhile, QoS aware issues are considered in both MAC and routing layers for ad hoc networks[3]. This work gives a review of ad hoc networks at both the MAC and routing layers. IEEE 802.11 is discussed and routing protocols widely used in ad hoc networks are analyzed and compared[1]. Solutions for QoS aware routing protocols are summarized. Evaluations are presented by doing simulations with both the QoS AODV and AODV routing protocols[8][10]. Thus, from the simulation results and analysis, it can be seen that adding QoS to routing protocols is meaningful to optimize the performance of traffic on the network especially the real time traffic[9][2].

Keywords

AODV, IEEE 802.11, MAC, MANET, QoS.

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Chandra Mouli Venkata Srinivas ¹, Akana ¹, C. Divakar ², G. Sunil Kumar ³, K. Sundeep Kumar ¹, K. P. Sirisha ¹

Affiliations
1 AMC Engineering College, Bangalore, Karnataka, IN
2 Visakha Institute of Technology, Visakhapatnam, AP, IN
3 UVCE, Bangalore, Karnataka, IN

Abstract

There is a vast literature on the throughput analysis of the IEEE 802.11 media access control (MAC) protocol. However, very little has been done on investigating the interplay between the collision avoidance mechanisms of the 802.11 MAC protocol and the dynamics of upper layer transport protocols. In this paper, we tackle this issue from an analytical perspective. Specifically, we develop Markov chain models to compute the distribution of the number of active stations in an 802.11 wireless local area network (WLAN) when long-lived Transmission Control Protocol (TCP) connections compete with finite-load User Datagram Protocol (UDP) flows. By embedding these distributions in the MAC protocol modeling, we derive approximate but accurate expressions of the TCP and UDP throughput. We validate the model accuracy through performance tests carried out in a real WLAN for a wide range of configurations. Our analytical model and the supporting experimental outcomes show that 1) the total TCP throughput is basically independent of the number of open TCP connections and the aggregate TCP traffic can be equivalently modeled as two saturated flows and 2) in the saturated regime, n UDP flows obtain about n times the aggregate throughput achieved by the TCP flows, which is independent of the overall number of persistent TCP connections.

Keywords

MAC Protocol, TCP Traffic, Throughput, UDP Datagrams, WLAN.

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