Conclusion and Future Work Sample Clauses

Conclusion and Future Work. As noted above, we see a clear methodology to handle SLA of cloud computing. WSLA suggests a flexible architecture for managing SLA between providers and consumers. As the needs of support services arise, some support services need to be provided but WSLA does not mandate such provisions and hence cloud bank can be introduced to provide the support services. This paper allows signatory parties to include Cloud Bank into the supervision of the SLA. It has introduced the CBSLA framework for specifying SLAs for Cloud Bank model. The Cloud Bank helps provider and consumer to define the quality of service aspects of a service by CBSLA. This paper focuses on the main frame and the signature process of the CBSLA. The clear representation of CBSLA provides a flexible mechanism to define the obligation. However, there are still some details to finalize, such as the process of measuring and the CBSLA parameters and how to monitoring these parameters. These issues will be discussed in future research. The current WSLA framework is based on XML and therefore limits the ability of matching in composition metrics to syntactical.
Conclusion and Future Work. ‌ We revisited Attack-Defence Trees under a unified syntax, extending the usual constructs with a new sequential counter-operator (SCAND). More importantly we introduced ▇▇▇▇▇, an agent-aware formalism to model ADTrees, and trans- formation patters from the latter to the former that are sound, complete, and preserve the compositionality of ADTrees, naturally covering cases with shared subtrees. The impact of different agent coalitions on attack time and cost was evaluated using Uppaal and IMITATOR. Finally, the feasibility of an attack was evaluated through parameter synthesis with IMITATOR, to obtain the attribute values of ADTree nodes that make an attack succeed. Our experiments show that (and how) different agent distributions affect the time of attacks/defence ▇▇▇▇▇▇- ▇▇▇▇, possibly rendering some infeasible. We expect this will open the gate to richer studies of security scenarios, with multiple agents that can collaborate. Our next goals include logics to express properties in EAMAS, and adapting the partial order reduction from [17] as well as the state space reduction for tree topologies of [21] to agent strategies in EAMAS, including extensions to parametric timing information. This will allow for studying the strategic abilities of agents, ultimately in a parametric setting. Finally, we will add support for agents assignment to our tool adt2amas that transforms ADTrees into EAMAS. 1. ADT2AMAS. ▇▇▇▇▇://▇▇▇▇▇.▇▇▇▇.▇▇▇▇-▇▇▇▇▇▇▇.▇▇/parties/tools/adt2amas 2. IMITATOR. ▇▇▇▇▇://▇▇▇.▇▇▇▇▇▇▇▇.▇▇ 3. ▇▇▇▇, ▇., ▇▇▇▇▇▇▇▇▇, ▇., ▇▇▇▇▇, M.: Parametric real-time reasoning. In: ACM Sym- posium on Theory of Computing, pp. 592–601. ACM (1993). ▇▇▇▇▇://▇▇▇.▇▇▇/10. 1145/167088.167242 4. Andr´e, E´., Fribourg, L., Ku¨hne, U., ▇▇▇▇▇▇, R.: IMITATOR 2.5: a tool for analyzing robustness in scheduling problems. In: ▇▇▇▇▇▇▇▇▇▇▇▇▇▇, D., ▇´▇▇▇, ▇. (eds.) FM 2012. LNCS, vol. 7436, pp. 33–36. Springer, Heidelberg (2012). ▇▇▇▇▇://▇▇▇.▇▇▇/10. 1007/978-3-642-32759-9 6 5. Andr´e, E´., ▇▇▇▇, D., ▇▇▇▇▇▇▇▇▇▇, ▇., ▇▇▇▇▇▇▇▇▇, M.: Parametric analyses of attack- fault trees. In: ACSD 2019, pp. 33–42. IEEE (2019). ▇▇▇▇▇://▇▇▇.▇▇▇/10.1109/ ACSD.2019.00008
Conclusion and Future Work. This paper presented a novel approach to address parts of the SLA management process, such as the establishment of the SLA, monitoring, and the enforcement of penalties for violations. More specifically, it focuses on enabling the dynamic SLA compensation in the case of violations during the service duration, i.e., the SLA validity. The presented approach relies on blockchain-based SCs to hold agreed QoS SLA terms by the SP and the customer in tamper-proof storage. Also, the approach automatically manages the SLA billing process, which comprises the payment for the service by the customer and the compensation reimbursement by the SP. The basis for the design decisions of the approach took into consideration the current state-of-the-art in the SLA management lifecycle. Moreover, it was described the implementation of the ap- proach using Solidity, which is an SC programming language (Turing-complete) provided by the Ethereum blockchain. List- ings of the implementation source-code were presented to prove, in a first moment, that is possible to implement the proposed approach. Further, the implemented SC was de- ployed in a permissioned test Ethereum blockchain to manage an example of a real-life QoS-related SLA (response time). Therefore, based on the performed evaluation, parts of the SLA management process were successfully automated using a decentralized solution and removing the dependency of a TTP to handle the billing process. There is still a considerable amount of work to provide a production-ready SLA management approach based on blockchain and smart contracts. Future work includes, but are not limited to, (i) privacy analysis, (ii) cost analysis, (iii) scalability analysis, (iv) more in-depth research on trusted monitoring solution, and (v) integration with existing BSS and OSS. However, it is expected that this work shed light on the current research on the topic. 60 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM2019) REFERENCES [1] D. C. Verma, “Service Level Agreements on IP Networks,” vol. 92, no. 9, Sept 2004, pp. 1382–1388. [2] O. F. ▇▇▇▇, ▇. Warnier, ▇. ▇. ▇▇▇▇▇▇▇▇▇, ▇. ▇▇▇▇▇▇▇, and ▇. ▇▇▇▇▇▇▇▇▇▇, Managing Violations in Service Level Agreements. Boston, MA: Springer US, 2008, pp. 349–358. [3] ▇. ▇▇▇▇▇▇▇, ▇. ▇▇▇▇▇▇▇, and ▇. ▇▇▇▇▇, “Practical Modeling of the SLA Life Cycle in Cloud Computing,” in 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA), Dec 2015, pp. 52–58. [4] Amaz...
Conclusion and Future Work. The proposed Authentic Key Agreement (AKA) scheme, deployed over the Blockchain framework, effectively strengthens the security and effectiveness of smart grid (SG) systems. We have shown via exhaustive simulations that there is a measurable 25% decrease in network latency as the number of nodes increases in a particular network cluster. These results demonstrate not only the immediate benefits of our system but also its significant potential to transform applications related to SG. Combining AES’s inherently robust encryption capability with the immutable ledger of Blockchain guarantees that the integrity and secrecy of power consumption data are well preserved while also providing a solid basis for future advancements in smart-based power grid technologies. The scheme proposed is well-positioned to drive improvements in dependability, security, and transparency within SG systems, which will serve as the foundation of contemporary energy management. Furthermore, it will support the ongoing development of sustainable energy infrastructure, ushering in a new era of robust smart city models. In future works, the focus will extend beyond simulation to real-world implementation, particularly in hard- ware deployment. Transitioning from simulated environments to real hardware will provide invaluable insights into the practicality and performance of the authentic key agreement scheme proposed for blockchain-based SG applications. The key aspect of future research will involve conducting experiments using physical smart me- ters (SMs) and Demand Response Control Units (DRCUs). This will allow a more accurate assessment of the scheme’s functionality and efficiency in real-world scenarios, considering network latency, hardware constraints, and environmental variables. Future efforts will be directed towards enhancing and optimizing the key agree- ment scheme. This may include exploring alternative cryptographic algorithms, refining protocol parameters, and implementing additional security measures further to strengthen the scheme against potential threats and attacks. The extension of this work to real hardware deployment and the continued improvement of the key agreement scheme will contribute to the advancement of secure and reliable blockchain-based solutions for SG applications.
Conclusion and Future Work. Diffserv is simple yet powerful network resource provision- ing framework but without efficient and effective signaling through bandwidth brokers ISPs cannot exploit its full ad- vantages. SLA trading provides such an innovative signal- ing framework for bilateral agreement negotiation between bandwidth brokers. It supports local optimization, incremen- tal deployment, and evolving definitions of services and PHBs. This is good news for providers since they can pick the mechanisms and policies they like best. And it is also good news for customers. The competition among providers will be perceptible at the edge of the network in form of lower prices and better service. We have shown that a market-managed Internet is technically feasible, if applied to the network’s core. At the edge, access providers still need to collect money from end users but they are free to choose their favorite method, including the popu- lar flat-rate. The main technical contributions of this paper are: – Non-uniform jumbo flow distributions (hot spots) are leveled out by SLA trading. For the Internet- typical range of ν-values we show a significant po- tential for load balancing (20% to 50% higher uti- lization than a statically configured network). These results have their significance on the inter-domain level and affect aggregated traffic. They provide a macro- scopic view of a very complex system and, due to the nature of observation, they not only abstract but also change some of the details [?]. While our first results are very encouraging, we need to address larger systems and more detailed network and traf- fic models in future work. For example, the AS data set does not reflect multiple connections between ASes which is sig- nificant for networks spanning large geographical regions. For the traffic model, more work is needed on the dynamics of hot spots. Besides more simulations, an implementation of SLA trad- ing on one of the upcoming DS implementations will pro- vide further insights. At the same time, improved traders and more precise traffic descriptions as part of SLAs should be tested. In our trader implementation we exploited some of the ba- sic strategies (trends, cost / profit analysis, etc.) and evaluated networks with such trader instances located in all networks. In practice, however, each network provider is able to tune its traders with available local information. This should eventu- ally lead to even better results. [1] ▇. ▇▇▇▇▇, ▇. ▇▇▇▇▇, ▇. ▇▇▇▇▇▇▇, ▇. ...
Conclusion and Future Work. As a conclusion of this paper can be stated that contracting of outsourcing must be done in care. All the contracting matters are equally important, especially savings, costs and information security. The outsourcing contract can be made in stages and this is suitable for information security. There must be different mechanisms to prove the effective of security mechanisms, for example as in ITSEC. It is very important to make sure that the client can
Conclusion and Future Work. Similar to ZRTP, our protocol utilises recorded voice for authentication and verification. However, the combination of the cryptographic primitives is significantly different and the utilisation of audio fingerprinting leads to a more conve- nient, less manual and simple protocol. We investigated the feasibility of using audio fingerprints via a remote connec- tion in a case study. This work is a first sketch of a new way to protect against MitM attackers using audio fingerprint- ing and fuzzy cryptography. We are currently evaluating the cryptographic correctness and building a prototype to conduct a usability analysis.
Conclusion and Future Work. ‌ In this chapter we did a preliminary study of linear public good games under in- complete game theory framework, where each players are not aware of the true preference parameters and can only infer other players actions based on a prior distribution of player’s type. Unlike ▇▇▇▇ and ▇▇▇▇▇▇▇ [1999]’s model, when play- ers’ preferences over inequality are privately known, the set of players that can be incentivized through aversion towards inequality will be further restricted. We showed that in in public good game without punishment, we are able to char- acterize a group of cooperators who are willing to contribute among themselves. The contributors shares similar properties with ▇▇▇▇ and ▇▇▇▇▇▇▇ [1999]’s model with complete information. However, there exist more than one way to define the contributors while ▇▇▇▇ and ▇▇▇▇▇▇▇ [1999]’s theory only provides one typical case. Even if the condition in ▇▇▇▇ and ▇▇▇▇▇▇▇ [1999]’s model doesn’t hold, there might exist other possible equilibrium with positive contributions. We also point out that ▇▇▇▇ and ▇▇▇▇▇▇▇ [1999]’s comparison across the games are not very accurate. As in their public good game setting, the contribution vector is not revealed when there is no punishment. We showed theoretically how the equilibriums would differ when players compare the inequality on average base. Thus there is need to test whether revealing the contribution vector would yield different result in the public good game without punishment. Throughout the theory we cannot rule out the existence of multi-equilibrium. Theory simply suggests players ▇▇▇▇ ▇▇▇▇▇▇▇▇▇, but why players are cooperating in some typical way remain unanswered. In this sense inequality aversion can help us when players have good faith upon others and it might not help at all under extreme circumstances. Apparently we would like to see what could be done in the later case to improve the efficiency. We can conduct possible linear public good experiments where players share are not equal, with one player’s share greater than 1 . It would be interesting to see how other agents will react under these circumstances. On one hand, when one player’s action can be perfectly predicted, other players would have information to predict other players contribution condi- tional on their types. On the other hand, introducing inequality in the sharing itself might bring disutility directly to the players. Thus it’s important to check how players would react when different ineq...
Conclusion and Future Work. SLA trading provides a framework for bilateral agree- ment negotiation. It supports local optimization, incremen- tal deployment, and evolving definitions of services and PHBs. This is good news for providers since they can pick the mechanisms and policies they like best. Therefore, it is a good alternative to homogeneous QoS routing systems. But it is also good news for customers. The competition
Conclusion and Future Work. This work presents a novel contribution to the area of WS- Agreement and agreement matching. With the framework and implementation described throughout this paper, service providers and consumers may automatically make the most accurate and effective partnerships which are tailored to user preferences. While this objective has been considered in the prior works, we extend this by defining reasoning methods for the Scopes, Obligations, SLOs, Qualifying Conditions, and Business Values of the Guarantee Terms. We consider the subjectivity of the latter two and implement a feature which allows for the specification of what the user prefers and what the user considers unsuitable. We effectively match complex agreements containing multiple alternatives and symmetry such that both consumer and provider have capabilities and requirements. This work utilizes an effective combination of ARL rules with multiple Ontologies in order to achieve flexibility and accuracy. In the process it demonstrates the need and value of annotating multiple activities (e-commerce in our exanple) with non-functional and domain- independent ontologies. Use of WSDL-S for semantic Web Services is also demonstrated in this context. We define several categories of rules to enhance domain specific knowledge, efficiently handle heterogeneous SLOs, allow the definition of user preferences, and flexibly allow domain specific predicates while greatly simplifying the matching process. These rules are a powerful addition because they allow the matching process to be changed and customized at any time without any modifications to the code or programming knowledge. Since a key feature of our work is to customize the matching process with user defined rules, this work will benefit from a module which converts rules defined with SWRL to ARL rules to facilitate the definition of rules by user. This tool can be extended to incorporate negotiations as defined by the protocol in [2]. Suitable agreements can be identified by the current tool and negotiations between parties could ensue. This tool can also be augmented to support other standards for policy specification such as WS-Policy. This would allow consumer to provider matches regardless of the specification used. This kind of matchmaking can be integrated with the METEOR-S configuration and runtime binding middleware [22].