A5100326378- Advanced Computational Techniques and Applications
- Service-Oriented Architecture and Web Services
- Software System Performance and Reliability
- Optimization and Variational Analysis
- Advanced Optimization Algorithms Research
- Higher Education and Teaching Methods
- Advanced Algorithms and Applications
- Cloud Computing and Resource Management
- Multi-Criteria Decision Making
- Advanced Sensor and Control Systems
- Educational Technology and Assessment
- Network Security and Intrusion Detection
- Distributed and Parallel Computing Systems
- Advanced Decision-Making Techniques
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Fixed Point Theorems Analysis
- Software-Defined Networks and 5G
- Remote Sensing and Land Use
- Visual perception and processing mechanisms
- Evaluation Methods in Various Fields
- Simulation and Modeling Applications
- Neural dynamics and brain function
- Semantic Web and Ontologies
- IoT and Edge/Fog Computing
Qinghai University
2014-2024
University of Massachusetts Amherst
2023-2024
Amherst College
2024
Zhaoqing University
2024
Inner Mongolia University
2024
Hunan Vocational Institute of Technology
2024
Hunan Institute of Science and Technology
2006-2023
Tianjin University of Technology
2023
Technische Universität Berlin
2020-2022
Shanghai Jiao Tong University
2015-2022
Software architecture is undergoing a transition from monolithic architectures to microservices achieve resilience, agility and scalability in software development. However, with it difficult diagnose performance issues due technology heterogeneity, large number of microservices, frequent updates both features infrastructure. This paper presents MicroRCA, system locate root causes microservices. MicroRCA infers real time by correlating application symptoms corresponding resource utilization,...
In this paper we study differentiable convex inequalities and prove that metric regularity Abadie's constraint qualification (CQ) are equivalent for such inequalities. For quadratic inequalities, show regularity, the existence of a global error bound, CQ mutually equivalent. As consequence, derive two new characterizations weak sharp minima programming problem.
The proliferation of latency-critical and compute-intensive edge applications is driving increases in computing demand carbon emissions at the edge. To better understand edge, we analyze granular intensity traces intermediate "mesoscales," such as within a single US state or among neighboring countries Europe, observe significant variations these spatial scales. Importantly, our analysis shows that variations, which are known to occur large continental scales (e.g., cloud regions), also much...
We introduce and study the Abadie constraint qualification, weak Pshenichnyi--Levin--Valadier property, related qualifications for semi-infinite systems of convex inequalities linear inequalities. Our main results are new characterizations various in terms upper semicontinuity certain multifunctions. Also, we give some applications to representations inequality systems, Farkas--Minkowski formulas distance solution set. Some our concepts even particular case finite systems.
Fog computing was designed to support the specific needs of latency-critical applications such as augmented reality, and IoT which produce massive volumes data that are impractical send faraway cloud centers for analysis. However this also created new opportunities a wider range in turn impose their own requirements on future fog platforms. This article presents study representative set 30 general-purpose platform should support.
Microservice architecture has emerged as a popular pattern for developing large-scale applications its benefits of flexibility, scalability, and agility. However, the large number services complex dependencies make it difficult time-consuming to diagnose performance issues. We propose Micro-Diag, an automated system localize root causes issues in microservice systems at fine granularity, including not only locating faulty component but also discovering detailed information abnormality....
Accident investigation reports are text documents that systematically review and analyze the cause process of accidents after have occurred been widely used in fields such as transportation, construction aerospace. With aid accident reports, can be clearly identified, which provides an important basis for prevention reliability assessment. However, since record mostly composed unstructured data text, analysis causes inevitably relies on a lot expert experience statistical analyses also...
In this paper, we establish a local error estimate for feasible solutions of piecewise convex quadratic program and global program. These estimates provide unified approach deriving many old new linear programs, complementarity problems, affine variational inequality problems. The reveals the fact that each is consequence some reformulation original problem as or sense, even Robinson's result on upper Lipschitz continuity polyhedral mapping can be considered special case approximate As an...
Given the diversity of home environment, appliances, and residents, applications for smart homes must be configurable adaptive. Instead programming each household, we propose an ontology-based framework to facilitate automatic composition appropriate applications. The system composes services depending upon available equipments in individual household automatically. Meanwhile, it dynamically adjusts environment parameters match customer needs encompass resource. With its supporting on...
Software as a Service (SaaS) with multi-tenancy architecture is popular approach. To support significant number of tenants, SaaS applications need be customizable to fulfill the various functional and quality requirements individual tenants. This paper presents unified innovative multi-layered customization framework, manage variability tenants-specific requirements. Ontology used derive deployment information for tenants cross layers. framework also has an intelligent recommendation engine...
The Gross Ecosystem Product (GEP) of grassland ecosystems refers to the total value final products and services provided by a particular region for human well-being each year. GEP serves as an important indicator assessing health ecosystems. This study focused on Xilinhot, investigating feasibility integrating machine learning (ML) algorithms such stepwise linear regression (SLR), random forest (RF), support vector (SVR), k-nearest neighbor (KNN) with multi-source remote sensing data model...
We give some results on the existence of global error bounds for convex multifunctions between normed linear spaces (until present, only local have been known in this general setting). As applications we obtain, among others, improvements a theorem Robinson inequalities, result Luo and Tseng uniform boundedness Hoffman constants inequalities equalities, Lotov's pointwise Lipschitz continuity solution sets with respect to data perturbations.
We extend the property (N) introduced by Jameson for closed convex cones to normal a finite collection of sets in Hilbert space. Variations property, such as weak and uniform are also introduced. A dual form is derived. When applied cones, (G) Jameson. Normality provides new perspective on relationship between strong conical hull intersection (strong CHIP) various regularity properties. In particular, we prove that characterization CHIP, linear regularity. Moreover, equivalent fact normality...
Let X be a (real) Hilbert space, C closed convex subset, and $H_i =\{x\in X\mid \la x, h_i\ra \le b_i\} \quad (i=1,2,..., m)$ finite collection of half-spaces. Under the assumption that $K:=C\cap (\cap_1^mH_i)$ is not empty, problem characterizing best approximation from K to any $x\in X$ considered. The "strong conical hull intersection property" (strong CHIP), which was introduced by us in 1997, shown both necessary sufficient for following "perturbation hold: each X$, an element $x_0\in...
The main purpose of this paper is to give Lipschitz constants for basic optimal solutions (or vertices solution sets) and feasible linear programs with respect right-hand side perturbations. are given in terms norms pseudoinverses submatrices the matrices involved, sharp under very general assumptions. There two mathematical principles involved deriving constants: (1) local upper constant a Hausdorff lower semicontinuous mapping equal (2) finite-set-valued can be inherited by its continuous...
Causal inference (CI) is one of the popular performance diagnosis methods, which infers anomaly propagation from observed data for locating root causes. Although some specific CI methods have been employed in literature, overall this class on microservice not well understood. To end, we select six representative three categories and evaluate their against challenges operations, including large-scale observable data, heterogeneous symptoms, a wide range Our experimental results show that 1)...
The threshold for detecting a change in orientation away from the vertical of briefly presented foveal line target is raised when there are immediately following visual presentations. This masking effect was examined by measuring capacity variety patterns to act as masks. When were made exactly same number light pixels, least they formed random dots and progressively became stronger lines decreasing curvature full circles straight lines. longer lines, masking. Threshold elevation highest...