Shanghai Jiao Tong University Institute of Wireless Comm. Tech. (IWCT) 无线技术沙龙 Wireless Club 创 新 无 线 精 彩 无 限 Enabling Splendid Wireless A Theoretical Framework.

Slides:



Advertisements
Similar presentations
Impact of Interference on Multi-hop Wireless Network Performance
Advertisements

Mission-based Joint Optimal Resource Allocation in Wireless Multicast Sensor Networks Yun Hou Prof Kin K. Leung Archan Misra.
Impact of Interference on Multi-hop Wireless Network Performance Kamal Jain, Jitu Padhye, Venkat Padmanabhan and Lili Qiu Microsoft Research Redmond.
VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
A 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks Hwee-Xian TAN and Mun Choon CHAN Department of Computer Science, School of Computing.
Min Song 1, Yanxiao Zhao 1, Jun Wang 1, E. K. Park 2 1 Old Dominion University, USA 2 University of Missouri at Kansas City, USA IEEE ICC 2009 A High Throughput.
BY PAYEL BANDYOPADYAY WHAT AM I GOING TO DEAL ABOUT? WHAT IS AN AD-HOC NETWORK? That doesn't depend on any infrastructure (eg. Access points, routers)
Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks By C. K. Toh.
TDMA Scheduling in Wireless Sensor Networks
Queuing Network Models for Delay Analysis of Multihop Wireless Ad Hoc Networks Nabhendra Bisnik and Alhussein Abouzeid Rensselaer Polytechnic Institute.
1 Advancing Supercomputer Performance Through Interconnection Topology Synthesis Yi Zhu, Michael Taylor, Scott B. Baden and Chung-Kuan Cheng Department.
1 EL736 Communications Networks II: Design and Algorithms Class3: Network Design Modeling Yong Liu 09/19/2007.
Topology Control for Effective Interference Cancellation in Multi-User MIMO Networks E. Gelal, K. Pelechrinis, T.S. Kim, I. Broustis Srikanth V. Krishnamurthy,
60 GHz Flyways: Adding multi-Gbps wireless links to data centers
Wireless Mesh Networks 1. Architecture 2 Wireless Mesh Network A wireless mesh network (WMN) is a multi-hop wireless network that consists of mesh clients.
LCN 2007, Dublin 1 Non-bifurcated Routing in Wireless Multi- hop Mesh Networks by Abdullah-Al Mahmood and Ehab S. Elmallah Department of Computing Science.
Topology Control, Interference, and Throughput for Wireless Mesh Networks presented by Qin LIU.
Kick-off meeting 3 October 2012 Patras. Research Team B Communication Networks Laboratory (CNL), Computer Engineering & Informatics Department (CEID),
1 Algorithms for Bandwidth Efficient Multicast Routing in Multi-channel Multi-radio Wireless Mesh Networks Hoang Lan Nguyen and Uyen Trang Nguyen Presenter:
1 Minimizing End-to-End Delay: A Novel Routing Metric for Multi- Radio Wireless Mesh Networks Hongkun Li, Yu Cheng, Chi Zhou Department of Electrical and.
Capacity of Wireless Mesh Networks: Comparing Single- Radio, Dual-Radio, and Multi- Radio Networks By: Alan Applegate.
A Survey on Channel Assignment for Multi-Radio Meshed Networks
Seyed Mohamad Alavi, Chi Zhou, Yu Cheng Department of Electrical and Computer Engineering Illinois Institute of Technology, Chicago, IL, USA ICC 2009.
Mirror Mirror on the Ceiling: Flexible Wireless Links for Data Centers Presenter: Lu Gong.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2007 (TPDS 2007)
Joint Channel Assignment and Routing in Real Time Wireless Mesh Network Xiaoguang Li †, Changqiao Xu ‡ † College of Software Engineering, Southeast University,
Qian Zhang and Christopher LIM Department of Computer Science and Engineering, Hong Kong University of Science and Technology IEEE ICC 2009.
Symphony: Orchestrating Collisions in Enterprise Wireless Networks Tarun Bansal (Co-Primary Author), Bo Chen (Co-Primary Author), Prasun Sinha and Kannan.
1 Performance Analysis of Coexisting Secondary Users in Heterogeneous Cognitive Radio Network Xiaohua Li Dept. of Electrical & Computer Engineering State.
IEEE Globecom 2010 Tan Le Yong Liu Department of Electrical and Computer Engineering Polytechnic Institute of NYU Opportunistic Overlay Multicast in Wireless.
A novel approach of gateway selection and placement in cellular Wi-Fi system Presented By Rajesh Prasad.
June 21, 2007 Minimum Interference Channel Assignment in Multi-Radio Wireless Mesh Networks Anand Prabhu Subramanian, Himanshu Gupta.
Improving Capacity and Flexibility of Wireless Mesh Networks by Interface Switching Yunxia Feng, Minglu Li and Min-You Wu Presented by: Yunxia Feng Dept.
Multi-channel Wireless Networks with Infrastructure Support: Capacity and Delay Hong-Ning Dai (Macau University of Science and Technology, Macau) Raymond.
Scaling Laws for Cognitive Radio Network with Heterogeneous Mobile Secondary Users Yingzhe Li, Xinbing Wang, Xiaohua Tian Department of Electronic Engineering.
Load-Balancing Routing in Multichannel Hybrid Wireless Networks With Single Network Interface So, J.; Vaidya, N. H.; Vehicular Technology, IEEE Transactions.
Optimization of Wavelength Assignment for QoS Multicast in WDM Networks Xiao-Hua Jia, Ding-Zhu Du, Xiao-Dong Hu, Man-Kei Lee, and Jun Gu, IEEE TRANSACTIONS.
Joint Scheduling and Power Control for Wireless Ad Hoc Networks Advisor: 王瑞騰 Student: 黃軍翰.
SenProbe: Path Capacity Estimation in Wireless Sensor Networks Tony Sun, Ling-Jyh Chen, Guang Yang M. Y. Sanadidi, Mario Gerla.
Rate-Based Channel Assignment Algorithm for Multi-Channel Multi- Rate Wireless Mesh Networks Sok-Hyong Kim and Young-Joo Suh Department of Computer Science.
KAIS T On the problem of placing Mobility Anchor Points in Wireless Mesh Networks Lei Wu & Bjorn Lanfeldt, Wireless Mesh Community Networks Workshop, 2006.
Zaid A. Shafeeq Mohammed N. Al-Damluji Al-Ahliyya Amman University Amman - Jordan September
Tufts Wireless Laboratory School Of Engineering Tufts University Paper Review “An Energy Efficient Multipath Routing Protocol for Wireless Sensor Networks”,
Dzmitry Kliazovich University of Luxembourg, Luxembourg
A Multi-Channel Cooperative MIMO MAC Protocol for Wireless Sensor Networks(MCCMIMO) MASS 2010.
Evaluation of ad hoc routing over a channel switching MAC protocol Ethan Phelps-Goodman Lillie Kittredge.
Hongkun Li, Yu Cheng, Chi Zhou Illinois Institute of Technology, Chicago, IL, USA IEEE GLOBECOM 2008.
1 11 Distributed Channel Assignment in Multi-Radio Mesh Networks Bong-Jun Ko, Vishal Misra, Jitendra Padhye and Dan Rubenstein Columbia University.
Mitigating starvation in Wireless Ad hoc Networks: Multi-channel MAC and Power Control Adviser : Frank, Yeong-Sung Lin Presented by Shin-Yao Chen.
A Cooperative Multi-Channel MAC Protocol for Wireless Networks IEEE Globecom 2010 Devu Manikantan Shila, Tricha Anjali and Yu Cheng Dept. of Electrical.
Multicast Scaling Laws with Hierarchical Cooperation Chenhui Hu, Xinbing Wang, Ding Nie, Jun Zhao Shanghai Jiao Tong University, China.
Data Consolidation: A Task Scheduling and Data Migration Technique for Grid Networks Author: P. Kokkinos, K. Christodoulopoulos, A. Kretsis, and E. Varvarigos.
A Bandwidth Scheduling Algorithm Based on Minimum Interference Traffic in Mesh Mode Xu-Yajing, Li-ZhiTao, Zhong-XiuFang and Xu-HuiMin International Conference.
Chance Constrained Robust Energy Efficiency in Cognitive Radio Networks with Channel Uncertainty Yongjun Xu and Xiaohui Zhao College of Communication Engineering,
1 Low Latency Multimedia Broadcast in Multi-Rate Wireless Meshes Chun Tung Chou, Archan Misra Proc. 1st IEEE Workshop on Wireless Mesh Networks (WIMESH),
1 Traffic Engineering By Kavitha Ganapa. 2 Introduction Traffic engineering is concerned with the issue of performance evaluation and optimization of.
1 Spectrum Co-existence of IEEE b and a Networks using the CSCC Etiquette Protocol Xiangpeng Jing and Dipankar Raychaudhuri, WINLAB Rutgers.
A Low Interference Channel Assignment Algorithm for Wireless Mesh Networks Can Que 1,2, Xinming Zhang 1, and Shifang Dai 1 1.Department of Computer Science.
-1/16- Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks C.-K. Toh, Georgia Institute of Technology IEEE.
Impact of Interference on Multi-hop Wireless Network Performance
Presented by Tae-Seok Kim
Suman Bhunia and Shamik Sengupta
OpenFlow in Wireless-Associated Data Center Network
Channel Allocation (MAC)
CS223 Advanced Data Structures and Algorithms
Advisor: Professor Yeong-Sung Lin Student: Yeong-Cheng Tzeng (曾勇誠)
Pradeep Kyasanur Nitin H. Vaidya Presented by Chen, Chun-cheng
Advisor: Yeong-Sung, Lin, Ph.D. Presented by Yu-Ren, Hsieh
A Topology Control Approach for Utilizing Multiple Channels in Multi-Radio Wireless Mesh Networks (broadnet2005) Mahesh K. Marina, Samir R. Das 2006/9/14.
Towards Predictable Datacenter Networks
Presentation transcript:

Shanghai Jiao Tong University Institute of Wireless Comm. Tech. (IWCT) 无线技术沙龙 Wireless Club 创 新 无 线 精 彩 无 限 Enabling Splendid Wireless A Theoretical Framework for Mitigating Delay in 3D Wireless Data Center Networks Kai Zhou Advisor: Dr. Xiaohua Tian Recently, a novel 3D wireless mechanism based on 60 GHz band has been proposed to mitigate the job completion time (JCT) in Data Center Networks (DCNs), where signals bounce off DC ceilings to establish wireless connections. The 3D scheme could alleviate hotspots in DCNs with flexible multi-gigabit wireless links, which bypasses the line-of-sight limitation of 60 GHz wireless links. However, the novel wireless transmission mechanism incurs significant change in the traditional interference model for wireless networks, and the theoretical analysis tool for such hybrid networks is still unavailable. This paper presents a theoretical framework for such 3D DCNs, where the entire network is first transformed from 3D to 2D by remodeling the 3D interference effects. The transformed graph is then processed with a multi-dimensional conflict graph methodology, where the wired and wireless sub- graphs induced by the DCN topology are jointly analyzed. The last but not least, the processed graph is modeled as a minimum job completion time (MJCT) problem, where the optimal traffic engineering, channel allocation and scheduling schemes in the original DCN can be obtained. Simulation results are presented to demonstrate the delay performance of our proposed approach. Grid topology 3D beamforming 1 3D Wireless Data Centers Basic structure:  A data center is consist of hundreds of racks that are organized in a grid topology and inter-connected by wire line .Each rack contains several servers which have data transmission demands to other severs. Augmenting 60 GHz wireless technology with DC  On top of each rack, there is a switch for data transferring and multi-radios to establish wireless transmission.  Radios are controlled by electrical motors to set the beams in the right directions with high accuracy and speed.  Beams are bounced off the ceiling to reach the right destination within one hop Advantages:  Wireless links with capacity up to multi-gigabit are set up and scheduled in demand to alleviate hot spot problem  Interference is greatly reduced Performance Evaluation Protocol model:  Links separated far away enough will not cause interference to each other  Receivers out of the signal coverage of other transmitters will not be interfered Modified Multiple Commodity Flow (MCF) problem: calculate the flow distribution on each wired and wireless link. Joint TCS scheme design Wireless links with scaled capacity Flow transmission time on each link Joint Traffic engineering, Channel allocation and Scheduling (TCS) scheme  Traffic engineering: flow assignment on each link  Channel allocation: tuples in conflict graph  Scheduling: time fraction each MIS occupies Rack Simulation topology Kai Zhou, Xiaohua Tian and Yu Cheng, “A Theoretical Framework for Mitigating Delay in 3D Wireless Data Center Networks”, submitted to IEEE ICC 2013 A central controller connected to each rack  gathering flow demands from each rack  executing algorithm to give the Traffic engineering, Channel allocation and Scheduling (TCS) result.  sending commands to each rack for flow transmission Interfered wireless links are formulated to equivalent coexisted wired links with scaled capacity Conflict graph:  the node in the conflict graph is a tuple consisting of a ink, the radios utilized by the transmission nodes and the channel occupied by this link  Conflict condition: E1 According to the protocol interference model, the nodes in two different tuples are with in each other’s interference range. E2 The links in two different tuples are occupying the same channel. E3 Two different tuples share common radio interfaces at one or two nodes. two tuples in the MDCG as in conflict with each other if the condition E1E2E3 ∪ E3 is true. Minimum job completion time Wired links Wireless links 2 3 Joint TCS scheme design Coexisted wired links with scaled capacity Modified MCF problem Ceiling Conflict graph Maximum Independent Set:  a set of tuples where no edge exists between two tuples indicating that the links involved in the tuples can be active simultaneously and adding one more tuple to this independent set will make it nonindependent  Each MIS is allocated to a time fraction α 4 Convex optimization problem: allocate flows evenly among the links to minimize the job completion time Subject to:  Flow balance constrains  Radio interface constrains  MIS constrains 5 Modeling Interference 6 Contributions Protocol model Flow completion time with different number of flows Flow completion time with different number of channels and radio interfaces 7 Related Publication