Wubin Li

• Ph.D
• Researcher at Ericsson

Since multispectral images (MSIs) and RGB images (RGBs) have significantly different definitions and severely imbalanced information entropies, the spectrum transformation between them, especially reconstructing MSIs from RGBs, is a big challenge. We propose a new approach, the Taiji Generative Neural Network (TaijiGNN), to address the above-mentio...

Since multispectral images (MSIs) have much more sufficient spectral information than RGB images (RGBs), reconstructing MS images from RGB images is a severely underconstrained problem. We have to generate colossally different information between the two scopes. Almost all previous approaches are based on static and dependent neural networks, which...

The high-density computing requirements of machine learning (ML) is a challenging performance bottleneck. Limited by the sequential instruction execution system, traditional general purpose processors are not suitable for efficient ML. In this work, we present an ML system design methodology based on GPU and FPGA to tackle this problem. The core id...

Most cities in the world promote bike-sharing services to encourage people to decrease carbon exhausting and to enhance theirhealth. However, it is a big challenge for a bike-sharing service supplying corporation to re-balance bikes efficiently among differentbike-sharing dockers without a forecasting ability. For solving this problem, we contribut...

Taking advantage of recent developments in Software Defined Storage and Cloud Computing, in this article we present our on-going effort, a Workload Aware Storage Platform (WASP), which aims to provide optimal storage backend assignment for given application storage workloads while minimizing or eliminating manual intervention. We identify four key...

In recent decades, virtualization as an abstraction from physical hardware has become a popular solution to resource isolation and server consolidation. With the surge in adoption of virtualization technologies, ensuring High Availability (HA) for applications hosted in virtualized environments emerges as an important problem and has garnered subs...

In this work, we present a novel approach that leverages Linux containers to achieve High Availability (HA) for cloud applications. A middleware that is comprised of a set of HA agents is defined to compensate the limitations of Linux containers in achieving HA. In our approach we start modeling at the application level, considering the dependencie...

In recent decades, virtualization as an abstraction from physical hardware has become a popular solution to resource isolation and server consolidation. With the surge in adoption of virtualization technologies, ensuring High Availability (HA) for applications hosted in virtualized environments emerges as an important problem and has garnered subst...

Virtual machine placement is the process of mapping virtual machines to available physical hosts within a datacenter or on a remote datacenter in a cloud federation. Normally, service owners cannot influence the placement of service components beyond choosing datacenter provider and deployment zone at that provider. For some services, however, this...

We study a matrix factorization problem, that is, to find two factor matrices U and V such that R ≈ U T × V , where R is a matrix composed of the values of the objects O 1 , O 2 , … , O n at consecutive time points T 1 , T 2 , … , T t . We first present MAFED, a constrained optimization model for this problem, which str...

Until now, most research on cloud service placement has focused on static pricing scenarios, where cloud providers offer fixed prices for their resources. However, with the recent trend of dynamic pricing of cloud resources, where the price of a compute resource can vary depending on the free capacity and load of the provider, new placement algorit...

We formulate a multi-matrices factorization model (MMF) for the missing sensor data estimation problem. The estimation problem is adequately transformed into a matrix completion one. With MMF, an n-by-t real matrix, R, is adopted to represent the data collected by mobile sensors from n areas at the time, T1, T2, … , Tt, where the entry, Ri,j, is th...

The cloud computing landscape has recently developed into a spectrum of cloud architectures, leading to a broad range of management tools for similar operations but specialized for certain deployment scenarios. This both hinders the efficient reuse of algorithmic innovations within cloud management operations and increases the heterogeneity between...

We present an approach to optimal virtual machine placement within datacenters for predicable and time-constrained load peaks. A method for optimal load balancing is developed, based on binary integer programming. For tradeoffs between quality of solution and computation time, we also introduce methods to pre-process the optimization problem before...

Cloud brokerage mechanisms are fundamental to reduce the complexity of using multiple cloud infrastructures to achieve optimal placement of virtual machines and avoid the potential vendor lock-in problems. However, current approaches are restricted to static scenarios, where changes in characteristics such as pricing schemes, virtual machine types,...

Addressing the management challenges for a multitude of distributed cloud architectures, we focus on the three complementary cloud management problems of predictive elasticity, admission control, and placement (or scheduling) of virtual machines. As these problems are intrinsically intertwined we also propose an approach to optimize the overall sys...

In this paper, we present a REST-based SOA system, Set It Right (SIR), where people can get feedback on and help with short texts. The rapid development of the SIR system, enabled by designing it as a set of services, and also leveraging commercially offered services, illustrates the strength of the SOA paradigm. Finally, we evaluate the Cloud Comp...

Web Services communicate through XML-encoded messages and suffer from substantial overhead due to verbose encoding of transferred messages and extensive (de)serialization at the end-points. We demonstrate that response caching is an effective approach to reduce Internet latency and server load. Our Tantivy middleware layer reduces the volume of dat...

Web services are rapidly emerging as a popular standard technology for sharing data and functionality among heterogeneous systems. Service providers and consumers are loosely coupled and distributed across the network, either within an organization or across organizational boundaries, and therefore, performance becomes a major concern in such a dis...

Web services are rapidly emerging as a popular standard for sharing data and functionality among heterogeneous systems. We propose a general purpose Web Service Management System ( WSMSME ) that enables executing composite services through multiple engines. This paper tackles a first basic WSMSME problem: execution optimization for composite servic...

A domain-specific service registry should satisfy two requirements at least: coping with diverse service description requirements from different services; supporting semantic description on service interfaces for interoperation in a specific domain. This paper proposes an adaptive metadata model that supports flexible semantic description of servic...