2015 IEEE International Advance Computing Conference (IACC)最新文献_第4页

Hybrid Particle Swarm Optimization scheduling for cloud computing 云计算混合粒子群优化调度

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154892

M. Sridhar, G. M. Babu

引用次数: 26

Development of an algorithm for online pulse discrimination in micro-EDM using current and voltage sensors and their comparison 基于电流和电压传感器的微细电火花加工在线脉冲识别算法的发展及其比较

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154758

C. K. Nirala, P. Saha

引用次数: 4

Detection of Red lesions in diabetic retinopathy affected fundus images 糖尿病视网膜病变眼底影像红色病灶的检测

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154668

V. Mane, Ramish B. Kawadiwale, D. Jadhav

引用次数: 36

Dynamic network configuration and Virtual management protocol for open switch in cloud environment 云环境下开放式交换机的动态网络配置和虚拟管理协议

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154687

P. Rekha, M. Dakshayini

{"title":"Dynamic network configuration and Virtual management protocol for open switch in cloud environment","authors":"P. Rekha, M. Dakshayini","doi":"10.1109/IADCC.2015.7154687","DOIUrl":"https://doi.org/10.1109/IADCC.2015.7154687","url":null,"abstract":"Cloud data center have to accommodate many users with isolated and independent networks in the distributed environment to support multi-tenant network and integrity. User applications are stored separately in virtual network. To support huge network traffic data center networks require software to change physically connected devices into virtual networks. Software defined networking is a new paradigm allows networks easily programmable that helps in controlling and managing virtual network devices. Flow decisions are made based upon real-time analysis of network consumption statistics with software defined networking. Managing these virtual networks is the real challenge for the network administrators. In this paper, we propose a novel network management approach between the controller and virtual switches and provide QoS of virtual LAN in the distributed cloud environment. This approach provides a protocol to deploy in Cloud Data center network environments using OpenFlow architecture in switches. Our approach delivers two different features, dynamic network configuration and Virtual management protocol between controller and open vswitch. This technique is very useful for cloud network administrators to provide better network services in cloud data center to multi-tenant users quickly.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131018095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Exploiting Geo Distributed datacenters of a cloud for load balancing 利用云的地理分布式数据中心实现负载平衡

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154780

J. Srinivas, A. Qyser, B.Eswara Reddy

引用次数: 5

A novel way of ICON based authentication methods 一种新的基于ICON的认证方法

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154748

P. Devaki, R. Rao

引用次数: 4

A multi-step recommendation engine for efficient indirect procurement 高效间接采购的多步骤推荐引擎

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154734

Subhashini Nandeesh, Rajkumar Mylvaganan, Sheela Siddappa

引用次数: 5

Dynamic benefit-weighted scheduling scheme in multi service networks 多业务网络中的动态利益加权调度方案

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154745

Namratha B. Gowda, Reema Sharma, Navin Kumar, T. Srinivas

{"title":"Dynamic benefit-weighted scheduling scheme in multi service networks","authors":"Namratha B. Gowda, Reema Sharma, Navin Kumar, T. Srinivas","doi":"10.1109/IADCC.2015.7154745","DOIUrl":"https://doi.org/10.1109/IADCC.2015.7154745","url":null,"abstract":"This paper proposes a new dynamic packet scheduling scheme which guarantees the delay and jitter properties of differentiated services (DiffServ) network for both real time and non-real time traffics. The proposed dynamic packet scheduling algorithm uses a new weighted computation scheme known as dynamic benefit weighted scheduling (DB-WS) which is loosely based on weighted round robin (WRR) or fair queuing policy. The novelty of this scheduler is that it predicts the weight required by expedited forwarding (EF) service for current time slot (t) based on two factors: (i) previous weight allocated to it at time slot (t-1), and (ii) average increase in weights of EF traffic in consecutive time slots. This prediction provides smoother and balanced bandwidth allocation to EF, assured forwarding (AF) and best effort (BE) packets by not allocating all the resources to EF and also ensuring minimal packet losses for EF service. Adopting such a dynamic resource allocation effectively achieves reduction in packet loss, end to end delay and delay jitter. The algorithm is tested with different data rates and found to outperform other existing methods in terms of packet loss and end to end delay.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126880106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Identification of influential nodes from social networks based on Enhanced Degree Centrality Measure 基于增强度中心性测度的社交网络影响节点识别

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154889

A. Srinivas, R. Scholar, R. Leela Velusamy

{"title":"Identification of influential nodes from social networks based on Enhanced Degree Centrality Measure","authors":"A. Srinivas, R. Scholar, R. Leela Velusamy","doi":"10.1109/IADCC.2015.7154889","DOIUrl":"https://doi.org/10.1109/IADCC.2015.7154889","url":null,"abstract":"A social network is a set of relationships and interactions among social entities such as individuals, organizations, and groups. The social network analysis is one of the major topics in the ongoing research field. The major problem regarding the social network is finding the most influential objects or persons. Identification of most influential nodes in a social network is a tedious task as large numbers of new users join the network every day. The most commonly used method is to consider the social network as a graph and find the most influential nodes by analyzing it. The degree centrality method is node based and has the advantage of easy identification of most influential nodes. In this paper a method called “Enhanced Degree Centrality Measure” is proposed which integrates clustering co-efficient value along with node based degree centrality. The enhanced degree centrality measure is applied to three different datasets which are obtained from the Facebook to analyze the performance. The response obtained is compared with existing methods such as degree centrality method and SPIN algorithm. By comparison, it is found that highest number of active nodes identified by the proposed method is 64 when compared with SPIN algorithm which identifies only 55.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123265034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

Implementation of Hurst parameter on DSP processor TMS320C6713 platform using wavelet analysis 利用小波分析在DSP处理器TMS320C6713平台上实现Hurst参数

2015 IEEE International Advance Computing Conference (IACC) Pub Date : 2015-06-12 DOI: 10.1109/IADCC.2015.7154833

Priyanka Pawar, Supriya M. Pharande, P. Wani, A. Patki

引用次数: 0