Resource Provisioning Techniques in Multi-Access Edge Computing Environments: Outlook, Expression, and Beyond

Table 5

Performance metrics and case studies.

Resource provisioning techniques	Case studies	Performance metrics
Deadline-based resource provisioning techniques	Big healthcare data processing for smart city environments using MEC/fog	(i) Average service response time; (ii) Deadline meeting percentage; (iii) Throughput; (iv) Average no. of rejected requests; (v) Resource utilization; (vi) Load to the resource (VM, host, or CDC); (vii) Delay/latency in network; (viii) No. of provisioned resource
Context-based resource provisioning techniques	(i) Context-aware services in the agriculture and healthcare sectors using edge and fog computing; (ii) Seamless service delivery in urban settings using cloud; (iii) IoT and cloud-based smart agriculture using edge cloud; (iv) IoT and cloud-based smart surveillance using edge cloud	(i) Average service response time; (ii) Deadline meeting percentage; (iii) Percentage of rejected requests; (iv) Energy consumption; (v) Current context analysis time; (vi) Availability and trustworthiness; (vii) Security; (viii) Privacy
Cloudlet support resource provisioning techniques		(i) Edge node/cloudlet lifetime; (ii) Customer mobility speed; (iii) Network speed; (iv) Mean service response time; (v) Percentage of requests meeting its deadline; (vi) Percentage of rejected requests; (vii) Energy consumption; (viii) Scheduling time; (ix) Completion ratio; (x) Cost/profit
Resource management-based resource provisioning techniques		(i) Resource utilization; (ii) System load; (iii) Energy consumption; (iv) Scheduling time; (v) Completion ratio; (vi) Cost/profit; (vii) Fault tolerance; (viii) Under and over-utilized resources; (ix) SLA violation ratio
Energy-efficient resource provisioning techniques	Resource provisioning method considering both client and server’s energy context	(i) Energy consumption; (ii) Mobile device battery context; (iii) Scheduling time; (iv) Completion ratio; (v) Cost/profit; (vi) Edge node/cloudlet lifetime; (vii) Customer mobility speed; (viii) Service/resource discovery time; (ix) Under and over-utilized resources