Wang et al., 2006
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Xu et al. | A survey on load balancing algorithms for virtual machines placement in cloud computing | |
| Hamscher et al. | Evaluation of job-scheduling strategies for grid computing | |
| Singh et al. | Scheduling real-time security aware tasks in fog networks | |
| US7568199B2 (en) | System for matching resource request that freeing the reserved first resource and forwarding the request to second resource if predetermined time period expired | |
| Xu et al. | QoS and contention-aware multi-resource reservation | |
| US8073671B2 (en) | Dynamic software performance models | |
| US20040123296A1 (en) | Topology aware grid services scheduler architecture | |
| Jayadivya et al. | Fault tolerant workflow scheduling based on replication and resubmission of tasks in Cloud Computing | |
| Tsai et al. | RTSOA: real-time service-oriented architecture | |
| US7703029B2 (en) | Grid browser component | |
| Kim et al. | Autonomic management of application workflows on hybrid computing infrastructure | |
| Kim et al. | An autonomic approach to integrated hpc grid and cloud usage | |
| Choudhary et al. | A novel strategy for deterministic workflow scheduling with load balancing using modified min-min heuristic in cloud computing environment | |
| Selvi et al. | Resource allocation issues and challenges in cloud computing | |
| Wang et al. | Kepler+ cometcloud: Dynamic scientific workflow execution on federated cloud resources | |
| Sebrechts et al. | Fog native architecture: Intent-based workflows to take cloud native toward the edge | |
| Gezer et al. | Real-time edge framework (RTEF): task scheduling and realisation | |
| Wang et al. | Client-centric adaptive scheduling of service-oriented applications | |
| Rak et al. | Chase: An autonomic service engine for cloud environments | |
| Khan et al. | Scheduling in Desktop Grid Systems: Theoretical Evaluation of Policies & Frameworks | |
| Wang et al. | A chemistry-inspired middleware for self-adaptive service orchestration and choreography | |
| In et al. | Sphinx: A scheduling middleware for data intensive applications on a grid | |
| Suresh et al. | User demand aware grid scheduling model with hierarchical load balancing | |
| Choi et al. | Fast software component migration for applications survivability in distributed real-time systems | |
| Hernández et al. | A reliable and scalable service bus based on Amazon SQS |