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Network-aware virtual machine placement and migration in cloud data centres

- Ferdaus, Md Hasanul, Murshed, Manzur, Clalheiros, Rodrigo, Buyya, Rajkumar

  • Authors: Ferdaus, Md Hasanul , Murshed, Manzur , Clalheiros, Rodrigo , Buyya, Rajkumar
  • Date: 2015
  • Type: Text , Book chapter
  • Relation: Emerging research in cloud distributed computing systems (Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series) Chapter 2 p. 42-91
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  • Description: With the pragmatic realization of computing as a utility, Cloud Computing has recently emerged as a highly successful alternative IT paradigm. Cloud providers are deploying large-scale data centers across the globe to meet the Cloud customers’ compute, storage, and network resource demands. Efficiency and scalability of these data centers, as well as the performance of the hosted applications’ highly depend on the allocations of the data center resources. Very recently, network-aware Virtual Machine (VM) placement and migration is developing as a very promising technique for the optimization of compute-network resource utilization, energy consumption, and network traffic minimization. This chapter presents the relevant background information and a detailed taxonomy that characterizes and classifies the various components of VM placement and migration techniques, as well as an elaborate survey and comparative analysis of the state of the art techniques. Besides highlighting the various aspects and insights of the network-aware VM placement and migration strategies and algorithms proposed by the research community, the survey further identifies the benefits and limitations of the existing techniques and discusses on the future research directions.

SmartEdge : An end-to-end encryption framework for an edge-enabled smart city application

- Jan, Mian, Zhang, Wenjing, Usman, Muhammad, Tan, Zhiyuan, Khan, Fazlullah, Luo, Entao

  • Authors: Jan, Mian , Zhang, Wenjing , Usman, Muhammad , Tan, Zhiyuan , Khan, Fazlullah , Luo, Entao
  • Date: 2019
  • Type: Text , Journal article
  • Relation: Journal of Network and Computer Applications Vol. 137, no. (2019), p. 1-10
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  • Description: The Internet of Things (IoT) has the potential to transform communities around the globe into smart cities. The massive deployment of sensor-embedded devices in the smart cities generates voluminous amounts of data that need to be stored and processed in an efficient manner. Long-haul data transmission to the remote cloud data centers leads to higher delay and bandwidth consumption. In smart cities, the delay-sensitive applications have stringent requirements in term of response time. To reduce latency and bandwidth consumption, edge computing plays a pivotal role. The resource-constrained smart devices at the network core need to offload computationally complex tasks to the edge devices located in their vicinity and have relatively higher resources. In this paper, we propose an end-to-end encryption framework, SmartEdge, for a smart city application by executing computationally complex tasks at the network edge and cloud data centers. Using a lightweight symmetric encryption technique, we establish a secure connection among the smart core devices for multimedia streaming towards the registered and verified edge devices. Upon receiving the data, the edge devices encrypts the multimedia streams, encodes them, and broadcast to the cloud data centers. Prior to the broadcasting, each edge device establishes a secured connection with a data center that relies on the combination of symmetric and asymmetric encryption techniques. In SmartEdge, the execution of a lightweight encryption technique at the resource-constrained smart devices, and relatively complex encryption techniques at the network edge and cloud data centers reduce the resource utilization of the entire network. The proposed framework reduces the response time, security overhead, computational and communication costs, and has a lower end-to-end encryption delay for participating entities. Moreover, the proposed scheme is highly resilient against various adversarial attacks.
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