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ORCIDAda Gavrilovska
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- affiliation: Georgia Institute of Technology, Atlanta, USA
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2020 – today
- 2024
[j18]Rafael Oliveira
, Ada Gavrilovska:
Comprex: In-Network Compression for Accelerating IoT Analytics at Scale. IEEE Micro 44(2): 20-30 (2024)- [j17]James Choncholas, Pujith Kachana, André Mateus, Gregoire Phillips, Ada Gavrilovska:
Snail: Secure Single Iteration Localization. Proc. Priv. Enhancing Technol. 2024(3): 446-460 (2024) - [c114]Vaibhav Bhosale, Ada Gavrilovska, Ketan Bhardwaj:
Krios: Scheduling Abstractions and Mechanisms for Enabling a LEO Compute Cloud. SoCC 2024: 322-340 - [c113]Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Norbert Podhorszki, Dmitry Ganyushin, Scott Klasky, Ada Gavrilovska:
Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O. ISC 2024: 1-12 - [e5]Ada Gavrilovska, Douglas B. Terry:
18th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2024, Santa Clara, CA, USA, July 10-12, 2024. USENIX Association 2024 [contents] - [i17]James Choncholas, Pujith Kachana, André Mateus, Gregoire Phillips, Ada Gavrilovska:
Snail: Secure Single Iteration Localization. CoRR abs/2403.14916 (2024) - 2023
- [j16]Girish Mururu, Sharjeel Khan, Bodhisatwa Chatterjee, Chao Chen, Chris Porter, Ada Gavrilovska, Santosh Pande:
Beacons: An End-to-End Compiler Framework for Predicting and Utilizing Dynamic Loop Characteristics. Proc. ACM Program. Lang. 7(OOPSLA2): 173-203 (2023) - [j15]Harshit Daga, Yiwen Chen, Aastha Agrawal, Ada Gavrilovska:
CLUE: Systems Support for Knowledge Transfer in Collaborative Learning With Neural Nets. IEEE Trans. Cloud Comput. 11(4): 3541-3554 (2023) - [c112]Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella:
Flame: Simplifying Topology Extension in Federated Learning. SoCC 2023: 341-357 - [c111]Misun Park, Ketan Bhardwaj, Ada Gavrilovska:
Pocket: ML Serving from the Edge. EuroSys 2023: 46-62 - [c110]Harshit Daga, Ada Gavrilovska:
Multi-mode Learning: Not One Learning Mode is Strictly Better than the Other. FedEdge@MobiCom 2023: 113-118 - [c109]Rafael Oliveira, Ada Gavrilovska:
In-Network Compression for Accelerating IoT Analytics at Scale. HOTI 2023: 15-24 - [c108]James Choncholas, Ketan Bhardwaj, Vladimir Kolesnikov, Ada Gavrilovska:
Angler: Dark Pool Resource Allocation. SEC 2023: 108-120 - [c107]James Choncholas, Pujith Kachana, André Mateus, Gregoire Phillips, Ada Gavrilovska:
Demo: Privacy-Preserving Localization for Edge-Assisted Robotic Navigation. SEC 2023: 267-269 - [c106]Girish Mururu, Kangqi Ni, Ada Gavrilovska, Santosh Pande:
PinIt: Influencing OS Scheduling via Compiler-Induced Affinities. LCTES 2023: 87-98 - [c105]Jin Heo, Ketan Bhardwaj, Ada Gavrilovska:
FleXR: A System Enabling Flexibly Distributed Extended Reality. MMSys 2023: 1-13 - [c104]Vaibhav Bhosale, Ahmed Saeed, Ketan Bhardwaj, Ada Gavrilovska:
A Characterization of Route Variability in LEO Satellite Networks. PAM 2023: 313-342 - [c103]Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Scott Klasky, Ada Gavrilovska:
Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context. SC Workshops 2023: 1223-1228 - [i16]Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella:
Federated Learning Operations Made Simple with Flame. CoRR abs/2305.05118 (2023) - [i15]Pradeep Fernando, Daniel Zahka, Ada Gavrilovska, Amitabha Roy, Subramanya R. Dulloor:
Blizzard: Adding True Persistence to Main Memory Data Structures. CoRR abs/2305.09034 (2023) - [i14]Jin Heo, Christopher Phillips, Ada Gavrilovska:
FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI. CoRR abs/2307.15005 (2023) - [i13]Jin Heo, Ketan Bhardwaj, Ada Gavrilovska:
FleXR: A System Enabling Flexibly Distributed Extended Reality. CoRR abs/2307.15574 (2023) - [i12]Jin Heo, Ketan Bhardwaj, Ada Gavrilovska:
Poster: Enabling Flexible Edge-assisted XR. CoRR abs/2309.04548 (2023) - [i11]Jin Heo, Gregoire Phillips, Per-Erik Brodin, Ada Gavrilovska:
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression. CoRR abs/2309.04549 (2023) - [i10]James Choncholas, Ketan Bhardwaj, Ada Gavrilovska:
TGh: A TEE/GC Hybrid Enabling Confidential FaaS Platforms. CoRR abs/2309.07764 (2023) - [i9]James Choncholas, Ketan Bhardwaj, Ada Gavrilovska:
TGh: A TEE/GC Hybrid Enabling Confidential FaaS Platforms. IACR Cryptol. ePrint Arch. 2023: 829 (2023) - 2022
- [c102]Thaleia Dimitra Doudali, Ada Gavrilovska:
Coeus: Clustering (A)like Patterns for Practical Machine Intelligent Hybrid Memory Management. CCGRID 2022: 615-624 - [c101]Jin Heo, Christopher Phillips, Ada Gavrilovska:
FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI. SEC 2022: 54-67 - [c100]Valentin Rakovic, Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska, Liljana Gavrilovska:
ShapeShifter: Resolving the Hidden Latency Contention Problem in MEC. SEC 2022: 237-251 - [c99]Jin Heo, Gregoire Phillips, Per-Erik Brodin, Ada Gavrilovska:
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression. SEC 2022: 293-295 - [c98]Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska:
Poster: Fine-grained Control Plane Container Profiler for MEC. SEC 2022: 296-298 - [c97]Daniel Zahka, Ada Gavrilovska:
FAM-Graph: Graph Analytics on Disaggregated Memory. IPDPS 2022: 81-92 - [c96]Thaleia Dimitra Doudali, Ada Gavrilovska:
Cronus: Computer Vision-based Machine Intelligent Hybrid Memory Management. MEMSYS 2022: 10:1-10:11 - [e4]Ada Gavrilovska, Deniz Altinbüken, Carsten Binnig:
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, San Francisco, California, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9414-7 [contents] - [e3]Jon B. Weissman, Abhishek Chandra, Ada Gavrilovska, Devesh Tiwari:
HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022 - 1 July 2022. ACM 2022, ISBN 978-1-4503-9199-3 [contents] - 2021
- [j14]Ada Gavrilovska, Erez Zadok:
Introduction to the Special Issue on USENIX ATC 2020. ACM Trans. Storage 17(2): 9:1-9:2 (2021) - [c95]Hrushit Parikh, Vinit Deodhar, Ada Gavrilovska, Santosh Pande:
Distributed Work Stealing at Scale via Matchmaking. CLUSTER 2021: 250-260 - [c94]Thaleia Dimitra Doudali, Ada Gavrilovska:
Machine Learning Augmented Hybrid Memory Management. HPDC 2021: 253-254 - [c93]James Choncholas, Ketan Bhardwaj, Ada Gavrilovska:
The Performance Argument for Blockchain-based Edge DNS Caching. SEC 2021: 312-318 - [c92]Jin Heo, Ketan Bhardwaj, Ada Gavrilovska:
Poster: Enabling Flexible Edge-assisted XR. SEC 2021: 465-467 - [c91]Ranjan Sarpangala Venkatesh, Tony Mason, Pradeep Fernando, Greg Eisenhauer, Ada Gavrilovska:
Scheduling HPC Workflows with Intel Optane Persistent Memory. IPDPS Workshops 2021: 56-65 - [c90]Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska:
Cori: Dancing to the Right Beat of Periodic Data Movements over Hybrid Memory Systems. IPDPS 2021: 350-359 - [c89]Thaleia Dimitra Doudali, Ada Gavrilovska:
Toward Computer Vision-based Machine Intelligent Hybrid Memory Management. MEMSYS 2021: 6:1-6:6 - [i8]Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska:
Tuning the Frequency of Periodic Data Movements over Hybrid Memory Systems. CoRR abs/2101.07200 (2021) - [i7]Girish Mururu, Chao Chen, Chris Porter, Santosh Pande, Ada Gavrilovska:
Compiler-Guided Throughput Scheduling for Many-core Machines. CoRR abs/2103.06647 (2021) - [i6]Harshit Daga, Yiwen Chen, Aastha Agrawal, Ada Gavrilovska:
Canoe : A System for Collaborative Learning for Neural Nets. CoRR abs/2108.12124 (2021) - 2020
- [j13]Tony Mason, Thaleia Dimitra Doudali, Margo I. Seltzer, Ada Gavrilovska:
Unexpected Performance of Intel® Optane™ DC Persistent Memory. IEEE Comput. Archit. Lett. 19(1): 55-58 (2020) - [j12]Erez Zadok, Ada Gavrilovska:
Running Virtual PC (vPC) Meetings. login Usenix Mag. 45(2) (2020) - [c88]Vaibhav Bhosale, Ketan Bhardwaj, Ada Gavrilovska:
Toward Loosely Coupled Orchestration for the LEO Satellite Edge. HotEdge 2020 - [c87]Misun Park, Ketan Bhardwaj, Ada Gavrilovska:
Toward Lighter Containers for the Edge. HotEdge 2020 - [c86]Ke-Jou Hsu, James Choncholas, Ketan Bhardwaj, Ada Gavrilovska:
DNS Does Not Suffice for MEC-CDN. HotNets 2020: 212-218 - [c85]Girish Mururu, Kaushik Ravichandran, Ada Gavrilovska, Santosh Pande:
Generating Robust Parallel Programs via Model Driven Prediction of Compiler Optimizations for Non-determinism. ICPP 2020: 32:1-32:12 - [c84]Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska:
The Case for Optimizing the Frequency of Periodic Data Movements over Hybrid Memory Systems. MEMSYS 2020: 137-143 - [e2]Ada Gavrilovska, Erez Zadok:
Proceedings of the 2020 USENIX Annual Technical Conference, USENIX ATC 2020, July 15-17, 2020. USENIX Association 2020, ISBN 978-1-939133-14-4 [contents] - [i5]Pradeep Fernando, Irina Calciu, Jayneel Gandhi, Aasheesh Kolli, Ada Gavrilovska:
Persistence and Synchronization: Friends or Foes? CoRR abs/2012.15731 (2020)
2010 – 2019
- 2019
- [j11]Kirk Bresniker, Ada Gavrilovska, James Holt, Dejan S. Milojicic, Trung Tran:
Grand Challenge: Applying Artificial Intelligence and Machine Learning to Cybersecurity. Computer 52(12): 45-52 (2019) - [c83]Girish Mururu, Ada Gavrilovska, Santosh Pande:
Quantifying and Reducing Execution Variance in STM via Model Driven Commit Optimization. CGO 2019: 109-121 - [c82]Harshit Daga, Patrick K. Nicholson, Ada Gavrilovska, Diego Lugones:
Cartel: A System for Collaborative Transfer Learning at the Edge. SoCC 2019: 25-37 - [c81]Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska:
Couper: DNN model slicing for visual analytics containers at the edge. SEC 2019: 179-194 - [c80]Ketan Bhardwaj, Matt Saunders, Nikita Juneja, Ada Gavrilovska:
Serving Mobile Apps: A Slice at a Time. EuroSys 2019: 30:1-30:15 - [c79]Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska:
Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence. HPDC 2019: 37-48 - [c78]Ketan Bhardwaj, Ada Gavrilovska, Vlad Kolesnikov, Matt Saunders, Hobin Yoon, Mugdha Bondre, Meghana Babu, Jacob Walsh:
Addressing the Fragmentation Problem in Distributed and Decentralized Edge Computing: A Vision. IC2E 2019: 156-167 - [c77]Harshit Daga, Hobin Yoon, Ketan Bhardwaj, Harshit Gupta, Ada Gavrilovska:
From Back-of-the-Envelope to Informed Estimation of Edge Computing Benefits in Minutes Using Castnet. ICFC 2019: 165-174 - [c76]Thaleia Dimitra Doudali, Ada Gavrilovska:
Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems. IPDPS Workshops 2019: 412-421 - [c75]Ranjan Sarpangala Venkatesh, Till Smejkal, Dejan S. Milojicic, Ada Gavrilovska:
Fast in-memory CRIU for docker containers. MEMSYS 2019: 53-65 - [c74]Tony Mason, Ada Gavrilovska, David A. Joyner:
Collaboration Versus Cheating: Reducing Code Plagiarism in an Online MS Computer Science Program. SIGCSE 2019: 1004-1010 - 2018
- [j10]Sudarsun Kannan, Ada Gavrilovska, Vishal Gupta, Karsten Schwan:
HeteroOS: OS Design for Heterogeneous Memory Management in Datacenters. ACM SIGOPS Oper. Syst. Rev. 52(1): 13-26 (2018) - [c73]Hobin Yoon, Juncheng Yang, Sveinn Fannar Kristjansson, Steinn E. Sigurðarson, Ymir Vigfusson, Ada Gavrilovska:
Mutant: Balancing Storage Cost and Latency in LSM-Tree Data Stores. SoCC 2018: 162-173 - [c72]Thaleia Dimitra Doudali, Ada Gavrilovska:
Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems. SoCC 2018: 523 - [c71]Ketan Bhardwaj, Joaquin Chung Miranda, Ada Gavrilovska:
Towards IoT-DDoS Prevention Using Edge Computing. HotEdge 2018 - [c70]Pradeep Fernando, Ada Gavrilovska, Sudarsun Kannan, Greg Eisenhauer:
NVStream: accelerating HPC workflows with NVRAM-based transport for streaming objects. HPDC 2018: 231-242 - [c69]Girish Mururu, Ada Gavrilovska, Santosh Pande:
Quantifying and reducing execution variance in STM via model driven commit optimization. PPoPP 2018: 409-410 - [c68]Sudarsun Kannan, Nitish Bhat, Ada Gavrilovska, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Redesigning LSMs for Nonvolatile Memory with NoveLSM. USENIX ATC 2018: 993-1005 - [i4]Ketan Bhardwaj, Ming-Wei Shih, Ada Gavrilovska, Taesoo Kim, Chengyu Song:
SPX: Preserving End-to-End Security for Edge Computing. CoRR abs/1809.09038 (2018) - [i3]Ketan Bhardwaj, Ada Gavrilovska, Moritz Steiner, Martin Flack, Stephen Ludin:
DRIVESHAFT: Improving Perceived Mobile Web Performance. CoRR abs/1809.09292 (2018) - [i2]Tony Mason, Ada Gavrilovska, David A. Joyner:
Collaboration Versus Cheating. CoRR abs/1812.00276 (2018) - 2017
- [j9]Alexander Merritt, Ada Gavrilovska, Yuan Chen, Dejan S. Milojicic:
Concurrent Log-Structured Memory for Many-Core Key-Value Stores. Proc. VLDB Endow. 11(4): 458-471 (2017) - [c67]Terry R. Jones, Michael J. Brim, Geoffroy Vallée, Benjamin Mayer, Aaron Welch, Tonglin Li, Michael Lang, Latchesar Ionkov, Douglas Otstott, Ada Gavrilovska, Greg Eisenhauer, Thaleia Dimitra Doudali, Pradeep Fernando:
UNITY: Unified Memory and File Space. ROSS@HPDC 2017: 6:1-6:8 - [c66]Mukil Kesavan, Ada Gavrilovska, Karsten Schwan:
Fault-Scalable Virtualized Infrastructure Management. ICDCS 2017: 252-263 - [c65]Alexis Champsaur, Jay F. Lofstead, Jai Dayal, Matthew Wolf, Greg Eisenhauer, Patrick M. Widener, Ada Gavrilovska:
SmartBlock: An Approach to Standardizing In Situ Workflow Components. IPDPS Workshops 2017: 1301-1308 - [c64]Sudarsun Kannan, Ada Gavrilovska, Vishal Gupta, Karsten Schwan:
HeteroOS: OS Design for Heterogeneous Memory Management in Datacenter. ISCA 2017: 521-534 - [c63]Thaleia Dimitra Doudali, Ada Gavrilovska:
CoMerge: toward efficient data placement in shared heterogeneous memory systems. MEMSYS 2017: 251-261 - 2016
- [j8]Sudarsun Kannan, Moinuddin K. Qureshi, Ada Gavrilovska, Karsten Schwan:
Energy Aware Persistence: Reducing the Energy Overheads of Persistent Memory. IEEE Comput. Archit. Lett. 15(2): 89-92 (2016) - [j7]Ryan E. Grant, Ada Gavrilovska:
Hot Interconnects 23. IEEE Micro 36(4): 4-5 (2016) - [c62]Sudarsun Kannan, Moinuddin K. Qureshi, Ada Gavrilovska, Karsten Schwan:
Energy Aware Persistence: Reducing Energy Overheads of Memory-based Persistence in NVMs. PACT 2016: 165-177 - [c61]Ming-Wei Shih, Mohan Kumar, Taesoo Kim, Ada Gavrilovska:
S-NFV: Securing NFV states by using SGX. SDN-NFV@CODASPY 2016: 45-48 - [c60]Ketan Bhardwaj, Ming-Wei Shih, Pragya Agarwal, Ada Gavrilovska, Taesoo Kim, Karsten Schwan:
Fast, Scalable and Secure Onloading of Edge Functions Using AirBox. SEC 2016: 14-27 - [c59]Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan:
pVM: persistent virtual memory for efficient capacity scaling and object storage. EuroSys 2016: 13:1-13:16 - [c58]Pradeep Fernando, Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan:
Phoenix: Memory Speed HPC I/O with NVM. HiPC 2016: 121-131 - [c57]Ada Gavrilovska:
Implications of Heterogeneous Memories in Next Generation Server Systems. HPDC 2016: 243 - [c56]Hobin Yoon, Ada Gavrilovska, Karsten Schwan:
Attribute-Based Partial Geo-Replication System. IC2E 2016: 127-130 - [c55]Mohan Kumar, Ada Gavrilovska:
TCP Ordo: The cost of ordered processing in TCP servers. INFOCOM 2016: 1-9 - [c54]Anshuman Goswami, Jeffrey S. Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf, Greg Eisenhauer:
GPUShare: Fair-Sharing Middleware for GPU Clouds. IPDPS Workshops 2016: 1769-1776 - [c53]Hrushit Parikh, Vinit Deodhar, Ada Gavrilovska, Santosh Pande:
Efficient distributed workstealing via matchmaking. PPoPP 2016: 37:1-37:2 - [c52]Ada Gavrilovska:
Virtualizing the Edge of the Cloud: the New Frontier. VEE 2016: 1 - [c51]Ketan Bhardwaj, Ada Gavrilovska, Karsten Schwan:
Ephemeral Apps. HotMobile 2016: 81-86 - [i1]William Agnew, Hyunjong Lee, Minsung Jang, Ada Gavrilovska, Karsten Schwan:
Drawing Insights from "Big Data" Machine Learning Literature using Textual Features Why are some novels considered to be literature? A. predictive model of literary judgments shows that textual features are important. Andreas van Cranenburgh: Reducing Mobile Throttling from Temperature by Offloading Apps. Tiny Trans. Comput. Sci. 4 (2016) - 2015
- [j6]Suk Chan Kang, Chrysostomos Nicopoulos, Ada Gavrilovska, Jongman Kim:
Subtleties of Run-Time VirtualAddress Stacks. IEEE Comput. Archit. Lett. 14(2): 152-155 (2015) - [c50]Vinit Deodhar, Hrushit Parikh, Ada Gavrilovska, Santosh Pande:
Compiler Assisted Load Balancing on Large Clusters. PACT 2015: 280-291 - [c49]Kaushik Ravichandran, Ada Gavrilovska, Santosh Pande:
PiMiCo: Privacy Preservation via Migration in Collaborative Mobile Clouds. HICSS 2015: 5341-5351 - [c48]Ketan Bhardwaj, Pragya Agrawal, Ada Gavrilovska, Karsten Schwan:
AppSachet: Distributed App Delivery from the Edge Cloud. MobiCASE 2015: 89-106 - [c47]Kavitha Chandrasekar, Bala Seshasayee, Ada Gavrilovska, Karsten Schwan:
Task characterization-driven scheduling of multiple applications in a task-based runtime. ESPM@SC 2015: 52-55 - [e1]Ada Gavrilovska, Angela Demke Brown, Bjarne Steensgaard:
Proceedings of the 11th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, Istanbul, Turkey, March 14-15, 2015. ACM 2015, ISBN 978-1-4503-3450-1 [contents] - 2014
- [c46]Kaushik Ravichandran, Ada Gavrilovska, Santosh Pande:
DeSTM: harnessing determinism in STMs for application development. PACT 2014: 213-224 - [c45]Priyanka Tembey, Ada Gavrilovska, Karsten Schwan:
Merlin: Application- and Platform-aware Resource Allocation in Consolidated Server Systems. SoCC 2014: 14:1-14:14 - [c44]Sudarsun Kannan, Naila Farooqui, Ada Gavrilovska, Karsten Schwan:
HeteroCheckpoint: Efficient Checkpointing for Accelerator-Based Systems. DSN 2014: 738-743 - [c43]Nagakishore Jammula, Moinuddin K. Qureshi, Ada Gavrilovska, Jongman Kim:
Balancing context switch penalty and response time with elastic time slicing. HiPC 2014: 1-10 - [c42]Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan:
Reducing the cost of persistence for nonvolatile heaps in end user devices. HPCA 2014: 512-523 - [c41]Chengwei Wang, Karsten Schwan, Brian Laub, Mukil Kesavan, Ada Gavrilovska:
Exploring Graph Analytics for Cloud Troubleshooting. ICAC 2014: 65-71 - [c40]Minsung Jang, Karsten Schwan, Ketan Bhardwaj, Ada Gavrilovska, Adhyas Avasthi:
Personal clouds: Sharing and integrating networked resources to enhance end user experiences. INFOCOM 2014: 2220-2228 - [c39]Ketan Bhardwaj, Sreenidhy Sreepathy, Ada Gavrilovska, Karsten Schwan:
ECC: Edge Cloud Composites. MobileCloud 2014: 38-47 - [c38]Alexander Merritt, Naila Farooqui, Magdalena Slawiñska, Ada Gavrilovska, Karsten Schwan, Vishakha Gupta:
Slices: Provisioning Heterogeneous HPC Systems. XSEDE 2014: 46:1-46:8 - 2013
- [j5]Maria Ebling, Eyal de Lara, Alec Wolman, Ada Gavrilovska:
The Edge of the Cloud. IEEE Pervasive Comput. 12(4): 17-19 (2013) - [j4]Mukil Kesavan, Irfan Ahmad, Orran Krieger, Ravi Soundararajan, Ada Gavrilovska, Karsten Schwan:
Practical Compute Capacity Management for Virtualized Datacenters. IEEE Trans. Cloud Comput. 1(1) (2013) - [c37]Adit Ranadive, Ada Gavrilovska, Karsten Schwan:
Distributed resource exchange: Virtualized resource management for SR-IOV InfiniBand clusters. CLUSTER 2013: 1-8 - [c36]Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, Dejan S. Milojicic:
Optimizing Checkpoints Using NVM as Virtual Memory. IPDPS 2013: 29-40 - [c35]Priyanka Tembey, Ada Gavrilovska, Karsten Schwan:
inTune: coordinating multicore islands to achieve global policy objectives. TRIOS@SOSP 2013: 4:1-4:16 - [c34]Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, Sanjay Kumar:
NVM heaps for accelerating browser-based applications. INFLOW@SOSP 2013: 8:1-8:8 - 2012
- [j3]Pooja Ghumre, Junwei Li, Mukil Kesavan, Ada Gavrilovska, Karsten Schwan:
Evaluating the need for complexity in energy-aware management for cloud platforms. SIGMETRICS Perform. Evaluation Rev. 40(3): 23-27 (2012) - [c33]Hobin Yoon, Ada Gavrilovska, Karsten Schwan, Jim Donahue:
Interactive Use of Cloud Services: Amazon SQS and S3. CCGRID 2012: 523-530 - [c32]Hui Chen,