Dispersed Computing for Tactical Edge in Future Wars: Vision, Architecture, and Challenges

Abstract

In the future, the tactical edge is far away from the command center, the resources of communication and computing are limited, and the battlefield situation is changing rapidly, which leads to the weak connection and fast changes of network topology in a harsh and complex battlefield environment. Thus, to meet the needs of communication and computing to build a new generation of computing architecture for real-time sharing and service collaboration of tactical edge resources to win the future war, the dispersed computing (DCOMP) seeks a new solution to satisfy the requirements of fast and efficient sensing, transmission, integrating, scheduling, and processing of various information in the tactical edge. Through the research of a traditional computing paradigm of mobile cloud computing (MCC), fog computing (FC), mobile edge computing (MEC), mobile ad hoc network (MANET), etc., it can be found that these computations have difficulty in meeting the high changing and complex battlefield environment and we propose a novel architecture of DCOMP to build a scalable, extensible, and robust decision-making system, to realize powerful and secure communication, computing, storage, and information processing capabilities for the tactical edge. We illustrate the fundamental principles of building a network model, channel allocation, and forwarding control mechanism of the network architecture for DCOMP called DANET and then design a new architecture, programming model, task awareness, and computing scheduling for DCOMP. Finally, we discuss the main requirements and challenges of DCOMP in future wars.

A Trusted and Privacy-Preserved Dispersed Computing Scheme for the Internet of Mobile Things

“…Background. Recently, a new computing paradigm, dispersed computing (DCOMP), has attracted considerable attention [17,18,[34][35][36][37]. DCOMP provides a promising way to solve the challenges of the existing computing paradigms of the IoMT and social networks [38].…”

“…Figure 1 shows the IoMT dispersed computing paradigm [18,40]. e dispersed computing system of the IoMT consists of three parts, namely, the IoMT service provider, dispersed task-aware computing, and programmable nodes and protocol stacks.…”

“…In addition, the privacy of user data should be preserved when user data are processed on the DCP. To the best of our knowledge, current research on dispersed computing focuses on architecture design and task scheduling [17,18,[34][35][36][37], [42], and few studies explore security solutions in the IoMT dispersed computing scenario. erefore, in this paper, we propose a secure dispersed computing scheme for the Internet of Mobile ings, which has the following design objectives:…”

“…AppendDCP u,k j,i toresult (7) break (8) end (9) else if SP u,k �� m then (10) For DCP j,i inPriD j,u ∪ OrgD j,u (11) If formula4holds then (12) AppendDCP u,k j,i toresult (13) break ( 14) end ( 15) else (16) For DCP j,i in GD j (17) If formula4holds then (18) AppendDCP u,k j,i toresult (19) break (20) end ( 21) end ( 22) end (23) return SDP j,u ALGORITHM 2: User service offloading. is experiment shows that block size affects throughput and that larger or smaller block sizes can have a negative effect on throughput.…”

“…We argue that the "end-to-end" computing paradigm should be broken and that a more efficient computing system can be employed to completely solve the above problems. Dispersed computing is a new and disruptive computing paradigm that has gained widespread attention [17,18]. is paradigm breaks the traditional "end-to-end" computing paradigm and integrates network and computing through "forward and computing hop by hop," which can significantly reduce core network load and effectively improve network and application performance.…”