Seamless Live Virtual Machine Migration for Cloudlet Users with Multipath TCP
Bibliographic record
Abstract
Virtual machine (VM) based cloudlets are used in a cloud computing system to enhance the performance of resource-intensive applications. After a mobile device (MD) discovers a cloudlet in a vicinity, it takes a service initiation time (Ts) to setup a VM inside the cloudlet before data offloading from the MD to the VM starts. When more than one cloudlets are presented in a nearby geographical location, initiating a service with each cloudlets may be frustrating for the cloudlet users who change location frequently. In order to eliminate the delay caused by the Ts after the first cloudlet, this thesis proposes a seamless live VM migration between the neighbour cloudlet where the seamlessness is achieved by multipath TCP (MPTCP). In addition to MPTCP, the prior network configuration of the migrating VM with the destination network information helps to achieve a zero network downtime at the destination cloudlet after migration is completed. I am extremely grateful to go through a research experience which would not be possible without my principal supervisor Dr. Chung-Horng Lung who has given me the opportunity with lots of inspirational ideas, encouragement and patience throughout the course of this thesis. I would also like to express my sincere
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".