| | 637 | <b>Patali, Rohit</b> |
| | 638 | , "Utility-Directed Resource Allocation in Virtual Desktop Clouds." |
| | 639 | |
| | 640 | 2011. |
| | 641 | |
| | 642 | <a href="https://etd.ohiolink.edu/!etd.send_file?accession=osu1306872632">https://etd.ohiolink.edu/!etd.send_file?accession=osu1306872632</a> |
| | 643 | <br><br><b>Abstract: </b>User communities are rapidly transitioning their ” traditional desktops” that have dedicated hardware and software installations into ” virtual desktop clouds” (VDCs) that are accessible via thin-clients. To allocate and manage VDC resources for Internet-scale desktop delivery, existing work focuses mainly on managing server-side resources based on utility functions of CPU and memory loads, and do not consider network health and thin-client user experience. Resource allocations without combined utility-directed information of system loads, network health and thin-client user experience in VDC platforms inevitably results in costly guesswork and overprovisioning of resources. In this thesis, an analytical model i.e., ” Utility-Directed Resource Allocation Model (U-RAM)” is presented to solve the combined utility-directed resource allocation problem within VDCs. The solution uses an iterative algorithm that leverages utility functions of system, network and human components obtained using a novel virtual desktop performance benchmarking toolkit i.e., ” VDBench”. The combined utility functions are used to direct decision schemes based on Kuhn-Tucker optimality conditions for creating user desktop pools and determining optimal resource allocation size/location. U-RAM is evaluated in a VDC testbed featuring: (a) popular user applications (Spreadsheet Calculator, Internet Browser, Media Player, Interactive Visualization), and (b) TCP/UDP based thin-client protocols (RDP, RGS, PCoIP) under a variety of user load and network health conditions. Evaluation results demonstrate that U-RAM solution maximizes VDC scalability i.e., 'VDs per core density', and 'user connections quantity', while delivering satisfactory thin-client user experience. |
| | 644 | </li> |
| | 645 | <br> |
| | 646 | |
| | 647 | |
| | 648 | |
| | 649 | <li> |
| 1019 | | , "Performance of GENI Cloud Testbeds for Real Time Scientific Application." |
| 1020 | | First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles, |
| 1021 | | 2012. |
| 1022 | | |
| 1023 | | |
| 1024 | | <br><br><b>Abstract: </b>Dedicating high end servers for short-term execution of scientific applications such as weather forecasting wastes resources. Cloud platforms IaaS model seems well suited for applications which are executed on an irregular basis and for short duration. In this paper, we evaluate the performance of research testbed cloud platforms such as GENICloud and ORCA cloud clusters for our real-time scientific application of short-term weather forecasting called Nowcasting. In this paper, we evaluate the network capabilities of these research cloud testbeds for our real-time application of weather forecasting. In addition, we evaluate the computation time of executing Nowcasting on each cloud platform for weather data collected from real weather events. We also evaluate the total time taken to generate and transmit short-term forecast images to end users with live data from our own radar on campus. We also compare the performance of each of these clusters for Nowcasting with commercial cloud services such as Amazon's EC2. The results obtained from our measurement show that cloud testbeds are suitable for real-time application experiments to be carried out on a cloud platform. |
| 1025 | | </li> |
| 1026 | | <br> |
| 1027 | | |
| 1028 | | <li> |
| 1029 | | <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b> |
| | 1041 | <li> |
| | 1042 | <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b> |
| | 1043 | , "Performance of GENI Cloud Testbeds for Real Time Scientific Application." |
| | 1044 | First GENI Research and Educational Experiment Workshop (GREE 2012), Los Angeles, |
| | 1045 | 2012. |
| | 1046 | |
| | 1047 | |
| | 1048 | <br><br><b>Abstract: </b>Dedicating high end servers for short-term execution of scientific applications such as weather forecasting wastes resources. Cloud platforms IaaS model seems well suited for applications which are executed on an irregular basis and for short duration. In this paper, we evaluate the performance of research testbed cloud platforms such as GENICloud and ORCA cloud clusters for our real-time scientific application of short-term weather forecasting called Nowcasting. In this paper, we evaluate the network capabilities of these research cloud testbeds for our real-time application of weather forecasting. In addition, we evaluate the computation time of executing Nowcasting on each cloud platform for weather data collected from real weather events. We also evaluate the total time taken to generate and transmit short-term forecast images to end users with live data from our own radar on campus. We also compare the performance of each of these clusters for Nowcasting with commercial cloud services such as Amazon's EC2. The results obtained from our measurement show that cloud testbeds are suitable for real-time application experiments to be carried out on a cloud platform. |
| | 1049 | </li> |
| | 1050 | <br> |
| | 1051 | |
| | 1354 | <b>Venkataraman, Aishwarya</b> |
| | 1355 | , "Defragmentation of Resources in Virtual Desktop clouds for Cost-aware Utility-maximal Allocation." |
| | 1356 | |
| | 1357 | 2012. |
| | 1358 | |
| | 1359 | <a href="https://etd.ohiolink.edu/!etd.send_file?accession=osu1339747492">https://etd.ohiolink.edu/!etd.send_file?accession=osu1339747492</a> |
| | 1360 | <br><br><b>Abstract: </b>Cloud Service Providers (CSPs) make virtual desktop cloud (VDC) resource provisioning decisions within desktop pools based on user groups and their application pro- files. Such provisioning is aimed to not only satisfy acceptable user quality of experience (QoE) levels and provide high scalability, but also provide ” knobs” to CSPs to operate according their economic policies. The next challenge is to place user VD requests in an optimal and fast manner across distributed data centers. The placement decisions are influenced by session latency, load balancing and operation cost constraints. In this work, we identify the resource fragmentation problem that occurs when placement is done opportunistically to minimize provisioning time and deliver satisfactory user QoE. To solve this problem, which inherently is an NP-Hard problem, we propose a defragmentation scheme that has fast convergence time and has three levels of complexity: (i) ” Economics-directed resource allocation model” (E-RAM) that considers economic policies while optimizing resource provisioning within a data center (ii) ” Cost-aware Utility-maximal Local Placement” to optimize resource provisioning between multiple data centers, and (iii) ” Costaware Utility-maximal Global Placement with Migration” to optimize resource provisioning using cost-aware and utility-maximal VD re-allocations and migrations - to increase scalability and performance. We evaluate our E-RAM, Cost-aware Utility-maximal Local and Global Placement schemes using a novel ” VDC-Sim” simulator that we have developed in this study. Our simulations leverage profiles of user groups and their applications within desktop pools, obtained from a real VDC testbed. We also implemented our schemes in a real cloud infrastructure. Our results demonstrate that defragmentation is an important optimization step and defragmentation together with E-RAM and our Cost-aware Utilitymaximal placement schemes can enable CSPs to achieve optimal user QoE, higher VDC scalability, improved system performance and resilience. |
| | 1361 | </li> |
| | 1362 | <br> |
| | 1363 | |
| | 1364 | |
| | 1365 | |
| | 1366 | <li> |
| | 1503 | 2013 Proceedings Second GENI Research and Educational Experiment Workshop, Salt Lake City, UT, IEEE, |
| | 1504 | 2013. |
| | 1505 | doi:10.1109/GREE.2013.24. |
| | 1506 | <a href="http://dx.doi.org/10.1109/GREE.2013.24">http://dx.doi.org/10.1109/GREE.2013.24</a> |
| | 1507 | |
| | 1508 | </li> |
| | 1509 | <br> |
| | 1510 | |
| | 1511 | <li> |
| | 1512 | <b>Jin, Ruofan and Wang, Bing</b> |
| | 1513 | , "Malware Detection for Mobile Devices Using Software-Defined Networking." |
| 1485 | | <li> |
| 1486 | | <b>Jin, Ruofan and Wang, Bing</b> |
| 1487 | | , "Malware Detection for Mobile Devices Using Software-Defined Networking." |
| 1488 | | 2013 Proceedings Second GENI Research and Educational Experiment Workshop, Salt Lake City, UT, IEEE, |
| 1489 | | 2013. |
| 1490 | | doi:10.1109/GREE.2013.24. |
| 1491 | | <a href="http://dx.doi.org/10.1109/GREE.2013.24">http://dx.doi.org/10.1109/GREE.2013.24</a> |
| 1492 | | |
| 1493 | | </li> |
| 1494 | | <br> |
| 1495 | | |
| | 1642 | <b>Rajagopalan, Sudharsan</b> |
| | 1643 | , "Leveraging OpenFlow for Resource Placement of Virtual Desktop Cloud Applications." |
| | 1644 | |
| | 1645 | 2013. |
| | 1646 | |
| | 1647 | <a href="http://rave.ohiolink.edu/etdc/view?acc_num=osu1367456412">http://rave.ohiolink.edu/etdc/view?acc_num=osu1367456412</a> |
| | 1648 | <br><br><b>Abstract: </b>Popular applications such as email, photo/video galleries, and file storage are increasingly being supported by cloud platforms in residential, academia and industry communities. The next frontier for these user communities will be to transition `traditional desktops' that have dedicated hardware and software configurations into `virtual desktop clouds' that are accessible via thin-clients. In this paper, we describe an Intelligent resource placement framework for thin-client based virtual desktops. The framework leverages principles of software defined networking and features a `unified resource broker' that uses special `marker packets' for: (a) ” route setup” when handling non-IP traffic between thin-client sites and data centers, (b) ” path selection” and ” load balancing” of virtual desktop flows to improve performance of interactive applications and video playback, and to cope with faults such as link-failures or Denial of Service cyber-attacks. The Framework has the ability to provisioning OpenFlow paths with less Service Response times for VD Requests. Our Framework In addition, we detail our framework implementation within a virtual desktop cloud (VDC) setup in a multi-domain Global Environment for Network Innovations (GENI) Future Internet testbed spanning backbone and access networks with a automation and centralized control using a tool called VDC-Sim. We present empirical results from our experimentation that leverages OpenFlow programmable networking, as well as cross-traffic capabilities for validating our framework in GENI under realistic settings. Our results demonstrate the importance of scheduling regulated measurements that can be used for intelligent resource placement decisions. Our results also show the feasibility and benefits of using OpenFlow controller applications for path selection and load balancing between thin-client sites and data centers in VDCs. The thesis also shows how our OpenFlow Framework can used for other cloud applications using GridFTP application over WAN as a Case Study. |
| | 1649 | </li> |
| | 1650 | <br> |
| | 1651 | |
| | 1652 | |
| | 1653 | |
| | 1654 | <li> |
| | 1668 | <b>Selvadhurai, Arunprasaath</b> |
| | 1669 | , "Network Measurement Tool Components for Enabling Performance Intelligence within Cloud-based Applications." |
| | 1670 | |
| | 1671 | 2013. |
| | 1672 | |
| | 1673 | <a href="http://rave.ohiolink.edu/etdc/view?acc_num=osu1367446588">http://rave.ohiolink.edu/etdc/view?acc_num=osu1367446588</a> |
| | 1674 | <br><br><b>Abstract: </b>Popular applications such as email, photo/video galleries, and file storage are increasingly being supported by cloud platforms in residential, academic and industry communities. The next frontier for these user communities will be to transition `traditional desktops' that have dedicated hardware and software configurations into `virtual desktop clouds' that are accessible via thin-clients. In our thesis, we show how the underlying measurement services, with some additional capabilities, can be used as intelligent agents to provide network intelligence within thin-client based virtual desktops applications. The framework leverages principles of software defined networking and features an `unified resource broker' that uses special `marker packets' for: (a) ” route setup” when handling non-IP traffic between thin-client sites and data centers, (b) ” path selection” and ” load balancing” of virtual desktop flows to improve the performance of interactive applications and video playback, and to cope with faults such as link-failures or Denial-of-Service cyber-attacks. In addition, we detail our framework implementation within a virtual desktop cloud (VDC) in a multi-domain Global Environment for Network Innovations (GENI). We present empirical results from our experimentation that leverages OpenFlow programmable networking, as well as OnTimeMeasure instrumentation-and-measurement capabilities for validating our framework in GENI under realistic settings. Our results demonstrate the importance of scheduling regulated measurements that can be used for intelligent resource placement decisions. Our results also show the feasibility and benefits of using the measurement services for effective path selection and load balancing between thin-client sites and data centers in VDCs and simulation applications. |
| | 1675 | </li> |
| | 1676 | <br> |
| | 1677 | |
| | 1678 | |
| | 1679 | |
| | 1680 | <li> |
| | 2036 | <b>Calyam, Prasad and Rajagopalan, Sudharsan and Seetharam, Sripriya and Selvadhurai, Arunprasath and Salah, Khaled and Ramnath, Rajiv</b> |
| | 2037 | , "VDC-Analyst: Design and verification of virtual desktop cloud resource allocations." |
| | 2038 | Computer Networks, |
| | 2039 | 2014. |
| | 2040 | doi:10.1016/j.comnet.2014.02.022. |
| | 2041 | <a href="http://dx.doi.org/10.1016/j.comnet.2014.02.022">http://dx.doi.org/10.1016/j.comnet.2014.02.022</a> |
| | 2042 | <br><br><b>Abstract: </b>One of the significant challenges for Cloud Service Providers (CSPs) hosting ” virtual desktop cloud” (VDC) infrastructures is to deliver a satisfactory quality of experience (QoE) to the user. In order to maximize the user QoE without expensive resource overprovisioning, there is a need to design and verify resource allocation schemes for a comprehensive set of VDC configurations. In this paper, we present ” VDC-Analyst”, a novel tool that can capture critical quality metrics such as Net Utility and Service Response Time, which can be used to quantify VDC platform readiness. This tool allows CSPs, researchers and educators to design and verify various resource allocation schemes using both simulation and emulation in two modes: ” Run Simulation” and ” Run Experiment”, respectively. The Run Simulation mode allows users to test and visualize resource provisioning and placement schemes on a simulation framework. Run Experiment mode allows testing on a real software-defined network testbed using emulated virtual desktop application traffic to create a realistic environment. Results from using our tool demonstrate that a significant increase in perceived user QoE can be achieved by using a combination of the following techniques incorporated in the tool: (i) optimizing Net Utility through a ” Cost-Aware Utility-Maximal Resource Allocation Algorithm”, (ii) estimating values for Service Response Time using a ” Multi-stage Queuing Model”, and (iii) appropriate load balancing through software-defined networking adaptations in the VDC testbed. |
| | 2043 | </li> |
| | 2044 | <br> |
| | 2045 | |
| | 2046 | |
| | 2047 | |
| | 2048 | <li> |
| | 2294 | <b>Martin, Vincent and Coulaby, Adama and Schaff, Nathan and Tan, Chiu C. and Lin, Shan</b> |
| | 2295 | , "Bandwidth Prediction on a WiMAX Network." |
| | 2296 | Mobile Ad Hoc and Sensor Systems (MASS), 2014 IEEE 11th International Conference on, IEEE, |
| | 2297 | 2014. |
| | 2298 | doi:10.1109/mass.2014.75. |
| | 2299 | <a href="http://dx.doi.org/10.1109/mass.2014.75">http://dx.doi.org/10.1109/mass.2014.75</a> |
| | 2300 | <br><br><b>Abstract: </b>The IEEE 802.16 standard (WiMAX) is an important next-generation networking technology which promises highspeed network access for both mobile and fixed users. In this paper we present a method to estimate link quality for devices connected to Temple University's WiMAX network as they traverse both the main campus and the city of Philadelphia via foot and motor vehicle. This is accomplished by first measuring receive signal strength indicator (RSSI), carrier to interference plus noise ratio (CINR), and bandwidth. After capturing these values, we then analyze the data to provide an estimation of the actual system rate. We then present an approach to predict future states of link quality both while stationary at Temple and when traversing Philadelphia via bus. |
| | 2301 | </li> |
| | 2302 | <br> |
| | 2303 | |
| | 2304 | |
| | 2305 | |
| | 2306 | <li> |
| | 2633 | , "Capacity of Inter-cloud Layer-2 Virtual Networking." |
| | 2634 | Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA, |
| | 2635 | 2014. |
| | 2636 | doi:10.1145/2627566.2627573. |
| | 2637 | <a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a> |
| | 2638 | <br><br><b>Abstract: </b>Due to the economy of scale of Ethernet networks and available dynamic circuit capability from the major national research and educational networks, VLAN (Virtual LAN) based virtual networking solution has been successfully adopted in some advanced distributed cloud systems. However, there are two major constraints in this adaptation: (1) dynamic circuit service is far from pervasive; (2) there is only limited VLAN tags offered by regional network service providers. In this paper, after examining layer-2 networking in large-scale distributed cloud environments, we present a graph theoretical model to study the network capacity in terms of the number of inter-cloud connections that can co-exist. We further design the algorithms to achieve this capacity for both point-to-point and multi-point inter-cloud connections in both static and dynamic scenarios. We also study a general topology embedding problem based on this model. As tagging is a common mechanism for isolating communication channels in other network layers, the proposed models and algorithms can be extended to optical and IP networks. |
| | 2639 | </li> |
| | 2640 | <br> |
| | 2641 | |
| | 2642 | <li> |
| | 2643 | <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b> |
| 2564 | | <li> |
| 2565 | | <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b> |
| 2566 | | , "Capacity of Inter-cloud Layer-2 Virtual Networking." |
| 2567 | | Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA, |
| 2568 | | 2014. |
| 2569 | | doi:10.1145/2627566.2627573. |
| 2570 | | <a href="http://dx.doi.org/10.1145/2627566.2627573">http://dx.doi.org/10.1145/2627566.2627573</a> |
| 2571 | | <br><br><b>Abstract: </b>Due to the economy of scale of Ethernet networks and available dynamic circuit capability from the major national research and educational networks, VLAN (Virtual LAN) based virtual networking solution has been successfully adopted in some advanced distributed cloud systems. However, there are two major constraints in this adaptation: (1) dynamic circuit service is far from pervasive; (2) there is only limited VLAN tags offered by regional network service providers. In this paper, after examining layer-2 networking in large-scale distributed cloud environments, we present a graph theoretical model to study the network capacity in terms of the number of inter-cloud connections that can co-exist. We further design the algorithms to achieve this capacity for both point-to-point and multi-point inter-cloud connections in both static and dynamic scenarios. We also study a general topology embedding problem based on this model. As tagging is a common mechanism for isolating communication channels in other network layers, the proposed models and algorithms can be extended to optical and IP networks. |
| 2572 | | </li> |
| 2573 | | <br> |
| 2574 | | |
| | 2709 | |
| | 2710 | |
| | 2711 | <li> |
| | 2712 | <b>Edwards, Sarah and Liu, Xuan and Riga, Niky</b> |
| | 2713 | , "Creating Repeatable Computer Science and Networking Experiments on Shared, Public Testbeds." |
| | 2714 | SIGOPS Oper. Syst. Rev., ACM, New York, NY, USA, |
| | 2715 | 2015. |
| | 2716 | doi:10.1145/2723872.2723884. |
| | 2717 | <a href="http://dx.doi.org/10.1145/2723872.2723884">http://dx.doi.org/10.1145/2723872.2723884</a> |
| | 2718 | <br><br><b>Abstract: </b>There are many compelling reasons to use a shared, public testbed such as GENI, Emulab, or PlanetLab to conduct experiments in computer science and networking. These testbeds support creating experiments with a large and diverse set of resources. Moreover these testbeds are constructed to inherently support the repeatability of experiments as required for scientifically sound research. Finally, the artifacts needed for a researcher to repeat their own experiment can be shared so that others can readily repeat the experiment in the same environment. However using a shared, public testbed is different from conducting experiments on resources either owned by the experimenter or someone the experimenter knows. Experiments on shared, public testbeds are more likely to use large topologies, use scarce resources, and need to be tolerant to outages and maintenances in the testbed. In addition, experimenters may not have access to low-level debugging information. This paper describes a methodology for new experimenters to write and deploy repeatable and sharable experiments which deal with these challenges by: having a clear plan; automating the execution and analysis of an experiment by following best practices from software engineering and system administration; and building scalable experiments. In addition, the paper describes a case study run on the GENI testbed which illustrates the methodology described. |
| | 2719 | </li> |
| | 2720 | <br> |
| | 2721 | |
| | 2732 | </li> |
| | 2733 | <br> |
| | 2734 | |
| | 2735 | |
| | 2736 | |
| | 2737 | <li> |
| | 2738 | <b>Ricci, Robert and Wong, Gary and Stoller, Leigh and Webb, Kirk and Duerig, Jonathon and Downie, Keith and Hibler, Mike</b> |
| | 2739 | , "Apt: A Platform for Repeatable Research in Computer Science." |
| | 2740 | SIGOPS Oper. Syst. Rev., ACM, New York, NY, USA, |
| | 2741 | 2015. |
| | 2742 | doi:10.1145/2723872.2723885. |
| | 2743 | <a href="http://dx.doi.org/10.1145/2723872.2723885">http://dx.doi.org/10.1145/2723872.2723885</a> |
| | 2744 | <br><br><b>Abstract: </b>Repeating research in computer science requires more than just code and data: it requires an appropriate environment in which to run experiments. In some cases, this environment appears fairly straightforward: it consists of a particular operating system and set of required libraries. In many cases, however, it is considerably more complex: the execution environment may be an entire network, may involve complex and fragile configuration of the dependencies, or may require large amounts of resources in terms of computation cycles, network bandwidth, or storage. Even the s̈traightforward ̈case turns out to be surprisingly intricate: there may be explicit or hidden dependencies on compilers, kernel quirks, details of the ISA, etc. The result is that when one tries to repeat published results, creating an environment sufficiently similar to one in which the experiment was originally run can be troublesome; this problem only gets worse as time passes. What the computer science community needs, then, are environments that have the explicit goal of enabling repeatable research. This paper outlines the problem of repeatable research environments, presents a set of requirements for such environments, and describes one facility that attempts to address them. |
| | 3615 | , "Network capabilities of cloud services for a real time scientific application." |
| | 3616 | 37th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE, |
| | 3617 | 2012. |
| | 3618 | doi:10.1109/lcn.2012.6423665. |
| | 3619 | </li> |
| | 3620 | <br> |
| | 3621 | |
| | 3622 | <li> |
| | 3623 | <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b> |
| 3504 | | </li> |
| 3505 | | <br> |
| 3506 | | |
| 3507 | | <li> |
| 3508 | | <b>Krishnappa, Dilip K. and Lyons, Eric and Irwin, David and Zink, Michael</b> |
| 3509 | | , "Network capabilities of cloud services for a real time scientific application." |
| 3510 | | 37th Annual IEEE Conference on Local Computer Networks, Clearwater Beach, FL, USA, IEEE, |
| 3511 | | 2012. |
| 3512 | | doi:10.1109/lcn.2012.6423665. |
| | 4970 | , "Capacity of Inter-cloud Layer-2 Virtual Networking." |
| | 4971 | Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA, |
| | 4972 | 2014. |
| | 4973 | doi:10.1145/2627566.2627573. |
| | 4974 | </li> |
| | 4975 | <br> |
| | 4976 | |
| | 4977 | <li> |
| | 4978 | <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b> |
| 4804 | | </li> |
| 4805 | | <br> |
| 4806 | | |
| 4807 | | <li> |
| 4808 | | <b>Xin, Yufeng and Baldin, Ilya and Heermann, Chris and Mandal, Anirban and Ruth, Paul</b> |
| 4809 | | , "Capacity of Inter-cloud Layer-2 Virtual Networking." |
| 4810 | | Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, Chicago, Illinois, USA, ACM, New York, NY, USA, |
| 4811 | | 2014. |
| 4812 | | doi:10.1145/2627566.2627573. |
| | 5034 | |
| | 5035 | |
| | 5036 | <li> |
| | 5037 | <b>Edwards, Sarah and Liu, Xuan and Riga, Niky</b> |
| | 5038 | , "Creating Repeatable Computer Science and Networking Experiments on Shared, Public Testbeds." |
| | 5039 | SIGOPS Oper. Syst. Rev., ACM, New York, NY, USA, |
| | 5040 | 2015. |
| | 5041 | doi:10.1145/2723872.2723884. |
| | 5042 | </li> |
| | 5043 | <br> |
| | 5044 | |
| | 5053 | </li> |
| | 5054 | <br> |
| | 5055 | |
| | 5056 | |
| | 5057 | |
| | 5058 | <li> |
| | 5059 | <b>Ricci, Robert and Wong, Gary and Stoller, Leigh and Webb, Kirk and Duerig, Jonathon and Downie, Keith and Hibler, Mike</b> |
| | 5060 | , "Apt: A Platform for Repeatable Research in Computer Science." |
| | 5061 | SIGOPS Oper. Syst. Rev., ACM, New York, NY, USA, |
| | 5062 | 2015. |
| | 5063 | doi:10.1145/2723872.2723885. |
