Mobility-Aware Application Scheduling in Fog Computing

Abstract

Abstract-Fog computing provides a distributed infrastructure at the edges of the network, resulting in low-latency access and faster response to application requests when compared to centralized clouds. With this new level of computing capacity introduced between users and the data center-based clouds, new forms of resource allocation and management can be developed to take advantage of the Fog infrastructure. A wide range of applications with different requirements run on end-user devices, and with the popularity of cloud computing many of them rely on remote processing or storage. As clouds are primarily delivered through centralized data centers, such remote processing/storage usually takes place at a single location that hosts user applications and data. The distributed capacity provided by Fog computing allows execution and storage to be performed at different locations. The combination of distributed capacity, the range and types of user applications, and the mobility of smart devices require resource management and scheduling strategies that takes into account these factors altogether. We analyze the scheduling problem in Fog computing, focusing on how user mobility can influence application performance and how three different scheduling policies, namely concurrent, FCFS, and delay-priority, can be used to improve execution based on application characteristics.

Fog orchestration for the Internet of Everything: state-of-the-art and research challenges

“…Three of them stand out: i) the diversity of workloads submitted, ii) the high degree of heterogeneity of the resources present in Cloudlets, and iii) a new class of mobility applications [49,50]. Even though some solutions at Cloud level, such as Kubernetes [51], provide mechanisms for deployment, maintenance, and scaling application across multiples hosts; these should be rethought to achieve Fog requirements efficiently.…”

“…high mobility), different policies can be used for the allocation process. Some examples are [49]: (1) Concurrent, requests are allocated to the receiving Cloudlet, regardless of usage or capacity; (2) First come first served, requests are served according to their arrival time; and (3) Delay-priority, applications requiring lower latency are prioritized.…”

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks

“…In recent years, mobility management has been studied in many types of networks, including IP and future networks [3,[22][23][24][25], 4G and 5G networks [2,4,10,26], wireless sensor networks [5,[27][28][29][30][31][32], and mobile cloud computing [6,11]. In [3], the authors investigate handover and mobility issues for IP-based multimedia services and applications.…”

“…The current Long Term Evaluation (LTE) 4G networks [9] and the future 5G [10] networks require smart mobility management schemes to handle the mobility of even millions of mobile terminals. Mobility infrastructure and mobility management are also critical in the new emerging computing paradigms like mobile cloud computing [6] and fog computing [11].…”

Reliability Analysis for Multipath Communications in Mobile Cloud Computing Architectures

“…In MCC systems or fog computing for mobile applications (e.g., [11]), each mobile device can be multihomed, so as to improve its throughput by allocating the application data over several paths simultaneously, which is known as multipath communications enabled by the promising multipath transmission technologies [12]. Generally, multipath 2 Wireless Communications and Mobile Computing communications can be classified into two types.…”