Joint Virtual Machine Embedding and Wireless Data Center Topology Management

Bütün, Beyza
With emerging technologies such as the Internet of Things and 5G, generated data grows enormously. Hence, Data Center Networks (DCNs) have an important duty to store and process a significant amount of data, which makes them a critical component of the network. To meet the massive amount of traffic demands, wired DCNs need to deploy large numbers of servers and power-hungry switches, and huge lengths of wires. An enormous increase in the usage of cables causes high cabling complexity and cost while deploying large numbers of servers and power-hungry switches causes high-level power consumption. To address these problems, Wireless DCNs (WDCNs) have emerged. WDCNs utilize the bandwidth efficiently thanks to their adaptation ability to the dynamically changing conditions and decrease high cost, cabling complexity, and power consumption problems with the help of their wireless structure. WDCNs are also a solution to the oversubscription problem. However, establishing reliable communication, satisfying changing traffic demands dynamically, and increasing throughput are challenges of WDCNs that need to be emphasized. In this work, we introduce a WDCN using internationally available 60 GHz bands and aim to handle the dynamic traffic demands in the WDCN and maximize the throughput. To achieve it, we jointly deploy virtual machines (i.e., services) into physical machines (i.e., servers) considering traffic demand between virtual machines and the capacity of physical machines and establish wireless links between two transceivers deployed on different racks. To maximize throughput in the WDCN, we formulate a mixed-integer programming (MIP) problem. We also propose two heuristics, named Heuristic for Wireless Link and Service Deployment (HWSD) and Improved Heuristic for Wireless Link and Service Deployment (I-HWSD) to decrease the time it takes to solve the MIP problem with an optimization solver. These two heuristics approach the optimal solution by about 20% with a significant improvement in the time performance and adapt to dynamically changing traffic demands. Unlike top-of-rack (ToR)-to-ToR WDCN, deploying virtual machines makes a significant contribution to the total traffic demand we can complete in WDCN.


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Citation Formats
B. Bütün, “Joint Virtual Machine Embedding and Wireless Data Center Topology Management,” M.S. - Master of Science, Middle East Technical University, 2022.