The phrase "allocation problem making" is not correct in written English.
It seems to be an incomplete or awkward construction that lacks clarity.
Example: "The allocation problem making it difficult to distribute resources effectively needs to be addressed."
Alternatives: "resource allocation issue" or "allocation challenge".
Task allocation problems have traditionally focused on cost optimization.
This observation can be leveraged to show lack of duality gap of general optimal resource allocation problems (Theorem 1) making primal and dual problems equivalent.
But Jigsaw didn't build cache hierarchies, which makes the allocation problem much more complex.
In particular, how the resources at APs can be used efficiently while satisfying the rate requirements from EUs? On the one hand, each EU can be connected to multiple APs and each AP may also need to serve multiple EUs, making the resource allocation problem (especially distributed implementation) seemingly prohibitively difficult.
The Lagrangian framework we use to solve the stochastic allocation problem can also be used to make statements about these types of heuristics.
On the other hand, interference is a severe issue in multi-AP based scheme due to the simultaneous transmission from multiple APs to EUs, which often makes the resource allocation problem non-convex and thus hard to solve [5].
While the application of network coding to D2D communication can enhance the system throughput, this application makes the resource allocation problem more challenging since the use of network coding introduces relays into the D2D communication systems.
Hence in order to make the quantized power allocation problem for distortion outage minimization analytically tractable, we impose a restriction on the ordering of the powers.
Two solutions for the multi-agent task allocation problem [ 14, 15] both have their limitations that make them unsuitable.
This makes the complexity of resource allocation problem increases with the size of data center.
