By providing the flexible and shared computing communication resources along with cloud services, fog became an attractive paradigm to support delay-sensitive tasks in Internet of Things (IoT). The existing researches for offloading a hierarchical fog-cloud environment mostly focused on minimizing overall delay. However, fair strategy selects suitable device terms node or server based resource requirements task while meeting deadline. In this article, we design new delay-dependent...

The Internet of Things (IoT) has been growing over the past few years due to its flexibility and ease use in real-time applications. IoT's foremost task is ensuring that there proper communication among different types applications devices, application layer protocols fulfill this necessity. However, as number grows, it necessary modify or enhance according specific IoT applications, allowing issues be addressed, such dynamic adaption network conditions interoperability. Recently, several...

Abstract Recent developments in the Internet of Things (IoT) and real‐time applications, have led to unprecedented growth connected devices their generated data. Traditionally, this sensor data is transferred processed at cloud, control signals are sent back relevant actuators, as part IoT applications. This cloud‐centric model, resulted increased latencies network load, compromised privacy. To address these problems, Fog Computing was coined by Cisco 2012, a decade ago, which utilizes...

This paper, discusses the confluence of two major recent trends in distributed information systems engineering: evolution from static content via personalized adaptive provisioning to Web Services, and emergence mobile terminals with sufficient speed serve as parts systems. The combination both yields idea Services. While a few pioneering Service client have appeared recently, this paper explores logical next step. Whether it is feasible use such Smart Phones also providers ("Mobile Hosts")....

The emerging mobile cloud has expanded the horizon of application development and deployment with techniques such as code offloading. While offloading been widely considered for saving energy increasing responsiveness devices, technique still faces many challenges pertaining to practical usage. In this article, we adopt a systemic approach analyzing components generic architecture. Based on theoretical experimental analysis, identify key limitations in practice then propose solutions...

Mobile cloud computing (MCC) has become a significant paradigm for bringing the benefits of to mobile devices' proximity. Service availability along with performance enhancement and energy efficiency are primary targets in MCC. This paper proposes code offloading framework, called mCloud, which consists devices, nearby cloudlets public services, improve MCC services. The effect device context (e.g., network conditions) on decisions is studied by proposing context-aware decision algorithm...

Mobile cloud computing (MCC) has drawn significant research attention as the popularity and capability of mobile devices have been improved in recent years. In this paper, we propose a prototype MCC offloading system that considers multiple resources such ad-hoc network, cloudlet public clouds to provide an adaptive service. We context-aware decision algorithm aiming code decisions at runtime on selecting wireless medium which potential location based device context. also conduct real...

Fog computing can help with some of the Internet Things' limitations but also faces challenges its own. The Indie infrastructure could be a flexible, cost-effective way to cope these challenges.

Nowadays, billions of Internet-of-Things devices generate various types delay-sensitive tasks to process within a limited time frame. By processing the at network edge using distributed fog can efficiently overcome deficiency centralized cloud data center (CDC), i.e., long latency and congestion. Moreover, inefficiency local devices, storage capabilities, we investigate collaboration between CDC, where preferably be offloaded on whereas resource-intensive are resource-rich CDC. However, one...

Intelligent task placement and management of tasks in large-scale fog platforms is challenging due to the highly volatile nature modern workload applications sensitive user requirements low energy consumption response time. Container orchestration have emerged alleviate this problem with prior art either using heuristics quickly reach scheduling decisions or AI driven methods like reinforcement learning evolutionary approaches adapt dynamic scenarios. The former often fail environments,...

Fog computing has recently emerged to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-situ</i> processing and energy-aware data offloading of Internet Things (IoT) applications in the industrial sensor networks. Besides that, increasing performance large-scale IoT by improving emergency response time become a critical issue To address above-mentioned challenges, this paper, we design novel Energy-aware Data Offloading ( <monospace...

In recent times, fog computing becomes an emerging technology that can exhilarate the cloud services towards network edge for increasing speeds up of various Internet-of-Things (IoT) applications. this context, integrating priority-aware scheduling and data offloading allow service providers to efficiently handle a large number real-time IoT applications enhance capability networks. But energy consumption has become skyrocketing, it gravely affects performance To address issue, in paper, we...

Fog computing has emerged as a promising paradigm that borrows the user-oriented cloud services to proximity of Internet-of-Things (IoT) users in sixth-generation (6G) networks. Currently, service providers establish proprietary fog architecture prolong specific group IoT by offering resources and edge level. However, this sort activity creates barrier limits development IoT-users. Keeping mind, we develop 6G-aware federation model for utilizing maximum providing demand across network while...