An Optimized Computational Model for Multi-Community-Cloud Social Collaboration

Abstract

Abstract-Community Cloud Computing is an emerging and promising computing model for a specific community with common concerns, such as security, compliance and jurisdiction. It utilizes the spare resources of networked computers to provide the facilities so that the community gains services from the cloud. The effective collaboration among the community clouds offers a powerful computing capacity for complex tasks containing the subtasks that need data exchange. Selecting the best group of community clouds that are the most economy-efficient, communication-efficient, secured, and trusted to accomplish a complex task is very challenging. To address this problem, we firstly formulate a computational model for multi-community-cloud collaboration, namely M C 3 . The proposed model is then optimized from four aspects: minimizing the sum of access cost and monetary cost, maximizing the security-level agreement and trust among the community clouds. Furthermore, an efficient and comprehensive selection algorithm is devised to extract the best group of community clouds in M C 3 . Finally, the extensive simulation experiments and performance analysis of the proposed algorithm are conducted. The results demonstrate that the proposed algorithm outperforms the minimal set coverings based algorithm and the random algorithm. Moreover, the proposed comprehensive community clouds selection algorithm can guarantee good global performance in terms of access cost, monetary cost, security level and trust between user and community clouds.

Community clouds within M-commerce: a privacy by design perspective

“…While private clouds pertain to services (hardware and software) that are restricted to an organization, the public cloud offers services (hardware and software) to the general public. Both public and community clouds belong to the same collaboration type, however, from security perspectives, the latter provides a higher level of security [17].…”

“…These applications are present in the cloud's infrastructure. All of the aforementioned applications have a considerable impact on business [3,[17][18][19].…”

“…This is accomplished by adherence to the framework of [34] and considering a proactive, preventative, and transparent approach [35]. The current self-regulation has undergone criticism because of its inadequacy for privacy security [17]. This has led to the drive for PbD incorporation within technical systems, leading to a higher accountability of business practices and integration within the design and the network [32].…”

Development of a Multisensor Embedded Intelligent Home Environment Monitoring System Based on Digital Signal Processor and Wi-Fi

“…Many control systems for home monitor or control were proposed in recent years, which shows that the integration of wireless sensor network for home monitoring was workable [15][16][17][18][19][20][21][22][23][24][25]. Some other researches for smart city, surveillance, fire safety for home, and home monitoring application research topics are also discussed in recent years [26][27][28][29][30].…”

Detecting and Mitigating Points of Failure in Community Networks: A Graph-Based Approach

“…Given the state of the current market-driven Internet model, which introduces failures (approximately 50% of the world population was still disconnected in 2017 [3]) and power asymmetries [4], CNs appear as the building block of a new Internet model based on participation and bottomup initiatives. For this reason they are gaining attention from different disciplines: the "subversive" potential of CNs is studied by social scientists [5] [6] [7], their peculiar features are interesting for networking researchers [8], [9] and they become the playground for distributed applications, such as P2P live streaming [10] and self-hosted community cloud services [11], [12].…”