COMBAT: mobile-Cloud-based cOmpute/coMmunications infrastructure for BATtlefield applications

Abstract

The amount of data processed annually over the Internet has crossed the zetabyte boundary, yet this Big Data cannot be efficiently processed or stored using today's mobile devices. Parallel to this explosive growth in data, a substantial increase in mobile compute-capability and the advances in cloud computing have brought the state-ofthe-art in mobile-cloud computing to an inflection point, where the right architecture may allow mobile devices to run applications utilizing Big Data and intensive computing. In this paper, we propose the MObile Cloud-based Hybrid Architecture (MOCHA), which formulates a solution to permit mobile-cloud computing applications such as object recognition in the battlefield by introducing a mid-stage compute-and storage-layer, called the cloudlet. MOCHA is built on the key observation that many mobile-cloud applications have the following characteristics: 1) they are compute-intensive, requiring the compute-power of a supercomputer, and 2) they use Big Data, requiring a communications link to cloud-based database sources in near-real-time. In this paper, we describe the operation of MOCHA in battlefield applications, by formulating the aforementioned mobile and cloudlet to be housed within a soldier's vest and inside a military vehicle, respectively, and enabling access to the cloud through high latency satellite links. We provide simulations using the traditional mobile-cloud approach as well as utilizing MOCHA with a mid-stage cloudlet to quantify the utility of this architecture. We show that the MOCHA platform for mobile-cloud computing promises a future for critical battlefield applications that access Big Data, which is currently not possible using existing technology.

Cloud‐Based Privacy‐Preserving Remote ECG Monitoring and Surveillance

“…A fast, local computer in this "cloud interface/helper" configuration is sometimes referred to as a "cloudlet." [18][19][20][21] There are many advantages to this approach; most importantly, a cloudlet is more capable than a phone in terms of hardware-both for speed, and extensibility. It is also likely to have access to a faster, more reliable Internet connection, and the patient does not have to carry it or charge it.…”

A Task Offloading Approach using Classification and Particle Swarm Optimization

“…Soyata et al [14] used the same architecture for military purposes, in which devices, such as cameras that has an object recognition feature can offload tasks to cloudlets installed nearby, therefore reducing the amount of time consumed due to the limited resources in the device. Using cloudlets accelerates application's response time, although additional hardware is needed for installing the cloudlets.…”

A Dynamic Task Distribution approach using Clustering of Data Centers and Virtual Machine Migration in Mobile Cloud Computing

“…The MOCHA architecture in [3][4][5] consists of mobile devices, cloudlet and the cloud servers where mobile devices are connected to the cloudlet, instead to the cloud directly. In [3], the benefits of this architecture were implemented on a real-time face recognition system, called Cloud-Vision.…”

“…The fixed approach, which distributes tasks accordingly to the servers, and the greedy approach, which distributes tasks to the servers with respect to the known response time of servers. In [4], the said architecture and approach were implemented on battlefield applications. Cloudlets are proposed to be deployed in military vehicles, with satellites as the medium in order to access servers.…”